{"paper_id":"084c1602-3785-44bb-9647-ea8463c1e496","body_text":"Targeting ADAR1 with a Novel Small-Molecule for the Treatment of Prostate Cancer | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Targeting ADAR1 with a Novel Small-Molecule for the Treatment of Prostate Cancer Xiao Wang, Jiaxing Li, Yasheng Zhu, Ting Zeng, Jiayu Ding, Wenjian Min, and 12 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-879741/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Despite initial response to androgen signaling therapy, most prostate cancer (PCa) patients eventually relapse and remain incurable. ADAR1-mediated A-to-G editing plays oncogenic roles in various tumors. However, the specific function of ADAR1 and the global RNA edited targets governing PCa progression remain underexplored. Here, we demonstrate that highly expressed ADAR1 as a crucial oncogenic target in PCa, and develop a novel small-molecule ADAR1 inhibitor ZYS-1 with significant anti-tumor efficacy and favorable safety profile. Either depletion or pharmacological inhibition of ADAR1 dramatically suppress PCa growth, inhibit metastasis, and potentiate immune response. We further reveal that the translation of MTDH is repressed by ADAR1 in an editing-dependent manner, which drives cell proliferation and invasion in PCa. Collectively, these results shed light on ADAR1 as a novel druggable target in PCa therapy and highlight the widespread applicability of ADAR1 inhibitors for a broad spectrum of malignancies. Drug Discovery, Design, & Development Cancer Biology ADAR1 prostate cancer small-molecule inhibitor Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 significance ADAR1-mediated A-to-G editing is essential for PCa initiation and progression. Targeting ADAR1 with drugs is a promising therapeutic strategy. ZYS-1, an inhibitor of ADAR1, with strong anti-tumor efficacy and favorable safety in PCa models, and holds broad therapeutic effects against a wide panel of cancers. Introduction Prostate cancer (PCa) is the most frequently occurring malignancy and the second leading cause of cancer-related mortality among men in western countries ( 1 – 3 ), with an estimated over 1 million new cases and nearly 500,000 deaths expected to occur globally in 2020 ( 2 ). Primary PCa patients who are diagnosed with early precursor lesions are known as prostatic intraepithelial neoplasia (PIN), and treatments for these organ-confined PCa include surgery and brachytherapy ( 4 , 5 ). PCa tumor growth is mainly dependent upon sustaining activated androgen receptor (AR) signaling. The backbone of PCa treatments includes androgen-deprivation therapy (ADT) and AR antagonists by blocking androgen production and/or function ( 6 , 7 ). Despite the initial response, most patients eventually relapse to a therapy-resistant stage, which leads to metastatic castration-resistant prostate cancer (mCRPC) that remains incurable at the current time ( 7 , 8 ). In addition to the sustained role of AR, there has been an urgent need to identify specific and novel drug targets. As such, the global understanding of the intricate mechanisms involved in these oncogenic processes is of critical importance for the development of novel therapeutic strategies ( 9 – 11 ). Gene mutations are important in cancer onset and aggressiveness as well as in the generation of tumor heterogeneity. Besides alterations at the DNA level, RNA-based abnormalities have been emerging as important players in cancer pathogenesis ( 12 , 13 ). RNA editing is a common form of epitranscriptomic mechanism that modifies the sequence of RNA transcripts without a concomitant change in its genomic blueprints ( 12 , 14 ). High-throughput genome-wide studies suggest that editing occurs in more than 85% of human RNA noncoding and/or coding regions ( 15 ). As for physiological consequences, RNA editing events may lead to expanding diversity in gene products and gene regulatory mechanisms by non-synonymous amino acid mutations, alternative RNA splicing, or modification of targeted RNAs ( 16 , 17 ), thereby altering their stability, translational efficiency, and degradation ( 18 ). In humans, deamination of adenosine-to-inosine (A-to-I) within double-stranded RNA (dsRNA), mediated by adenosine deaminases acting on RNA (ADAR) family enzymes, is considered the most frequent type of RNA editing that impacts the benefit of cancer progress ( 15 , 19 , 20 ). Since inosine (I) is recognized as guanosine (G) by the translational machinery, this process may result in recoding transcripts and thus plays a vital role in cancer initiation and aggressiveness ( 21 , 22 ). Three ADAR genes are encoded in mammalian cells, ADAR1 and ADAR2 are the two catalytically active enzymes, whereas ADAR3 is enzymatically inactive ( 23 , 24 ). The first cloned and discovered A-to-I dsRNA deaminase was ADAR1, which resides at chromosome 1q21, a region that is frequently amplified in cancer. There are two isoforms of ADAR1, the constitutively expressed N-truncated-p110 is mainly localized to the nucleus, where the interferon (IFN)-inducible full length-p150 is mainly cytoplasmic ( 25 , 26 ). Increasing pieces of evidence have revealed a close association between majority RNA-editing events and elevated ADAR1 expression in various malignancies, thereby promoting tumorigenesis, therapeutic resistance and poor survival ( 27 , 28 ). Crucially, several articles have reported higher RNA editing levels in prostate cancer ( 29 – 31 ). In silico analyses demonstrated that AR transcripts within more RNA editing events in PCa cell lines, meanwhile these cells also expressed high levels of ADAR1 ( 32 ). In addition, a recent study has suggested that elevated ADAR1 expression causes aberrant editing of the dominant-negative oncogene prostate cancer antigen 3 (PCA3) to the pathogenesis of PCa, whereby higher A-to-I editing of lncRNA PCA3 could upregulate expression of itself, and then downregulates the antisense tumor suppressor gene prune homolog 2 (PRUNE2) level, thereby, promoting PCa cell growth and metastasis ( 33 ). Despite PCA3 is a novel target of ADAR1, the significance of ADAR1 and the landscape of RNA-edited targets in PCa remain unanswered. Therefore, further identification of these aberrant targeted transcripts and investigation of the regulatory mechanisms can better enhance our understanding of PCa carcinogenesis. It has been reported that loss of ADAR1 compromises tumor growth and metastasis in many cancer types ( 27 ). More importantly, emerging studies have shown that inhibition of ADAR1 in tumors not only potentiates the efficacy of epigenetic therapy, but also sensitizes tumors to immunotherapy and overcomes resistance to immune checkpoint blockade, which is beneficial for cancer therapy ( 34 – 36 ). Taken together, these studies suggest that ADAR1 maybe a new potential PCa therapeutic target, and exploitation of innovative targeted therapeutics against ADAR1 is warranted. Although to date, 8-azaadenosine (8-aza) has been considered as a potential ADAR1 inhibitor ( 37 ), there was not yet strong evidence suggesting its direct binding and inhibition with ADAR1 protein, and simultaneously, the action mode and therapeutic activity have not been adequately evaluated. Thus, there is still an urgent need to discover druggable inhibitors against ADAR1 to treat PCa and other cancers. Herein, we carried out detailed investigation into RNA editing in PCa and the first identification of landscape of A-to-G RNA edited targets through systematic assays. Our results demonstrated that ADAR1 but not ADAR2 is abundantly expressed in prostate cancer compared with adjacent non-tumor tissues and associated with poor clinical outcomes. Furthermore, ADAR1 depletion inhibited PCa cells growth and metastasis in vitro , whereas overexpression had the opposite effects. Most importantly, loss of ADAR1 increased abundance of IFN-γ and CD8 + T cells infiltration in vivo . In addition, we identified metadherin (MTDH) as a crucial edited target of ADAR1 in PCa and provided a new insight that this RNA epitranscriptomic modification regulates MTDH protein levels through the translation modulation mechanism, which relied on the catalytic function of ADAR1. Rescue results showed that ADAR1/MTDH axis mediates tumor initiation and aggressiveness, which indicated the existence of a new pro-tumorigenesis pathway in PCa. To this end, using a series of structure-based virtual screening and validation assays, we further developed a novel small-molecule ADAR1 inhibitor, ZYS-1, which directly bind to ADAR1 and inhibit its deaminase activity with an IC 50 of 0.866 µM. Consistent with ADAR1 knockdown, ZYS-1 not only strongly inhibited PCa cells proliferation and metastasis in vitro , but also dramatically suppressed tumor growth in mice with favorable safety profiles, and enhanced anti-tumor immunity, hopefully holding synergetic efficacy combining with immunotherapy. Collectively, our study suggests profound therapeutic effects and novel mechanism insights of targeting ADAR1 in PCa therapy, highlighting ADAR1 as a novel druggable target with broad potential for cancer therapy. Results Highly expressed ADAR1 is a favorable prognostic marker in prostate cancer Since the involvement and role of ADAR1 in prostate cancer have not been dissected systematically, we first queried whether the expression of ADAR1 is high and associated with A-to-G editing level in PCa patients. We collected three pairs of matched tumor and normal tissues and performed RNA-sequencing to acquire their global RNA editing profile. There were 1949 genes with A-to-G editing frequency difference > 0 (Tumor vs Normal group, labeled in red), and 1543 genes with difference < 0 (labeled in blue) (Fig. 1 A; Supplementary Table S4). ADAR1 expression level was significantly higher in tumor (Fig. 1 I; Supplementary Fig. S1D), while ADAR2 expression was low compared to ADAR1 (data not shown) and was in a promiscuous pattern between tumor and normal tissues (Supplementary Fig. S1F). We next selected 16 patients from a previous reported TCGA PCa patients cohort (n = 31; ref. 30) according to their A-to-G editing level higher in tumor other than normal tissue (Supplementary Fig. S1A). This increase appears to be caused by higher ADAR1 expression in tumor rather than ADAR2 (Supplementary Fig. S1B and S1C). Higher ADAR1 expression in PCa was again found in another TCGA cohort (n = 51; Fig. 1 B). Interestingly, aged, high-risk and high Gleason grade patients had a higher ADAR1 expression signature, which indicated worse clinical prognosis in patients with higher ADAR1 expression (Fig. 1 C-E). Notably, these patients’ relapse-free survival (RFS) was significantly worse than those with low expression (Fig. 1 F). Consistently, a tissue microarray from 38 PCa patients staining with ADAR1 antibody showed that ADAR1 protein intensity score in tumor was significantly ( P = 0.004) higher than in adjacent normal tissue (Fig. 1 G and H), and ADAR1 intensity score was apparently stronger in high Gleason grade patients (Fig. 1 G, bottom). Furthermore, five prostate cancer cell lines were all detected to have a high level of ADAR1 protein (Fig. 1 J; Supplementary S1E). Previous study has indicated loss of ADAR1 regulates tumor microenvironment (TME) and enhances immune inflammation through a MDA5/MAVS-dependent manner, as evidenced by increase of immune cells and decrease of myeloid-derived suppressor cells (MDSCs) ( 36 ). We used TIMER2.0 web tool to analyze correlation of ADAR1 and tumor immune infiltrating profile, and confirmed negative correlation with CD4 + T cells, CD8 + cells, M1 macrophages, and NK cells, and positive correlation with cancer-associated fibroblast (CAFs), endothelial cells and inhibitory immune cells M2 macrophage (Supplementary Fig. S1G). Collectively, these evidences suggest ADAR1 is aberrantly overexpressed in PCa tumors and associated with poor clinical outcomes. Depletion of ADAR1 inhibits tumor cells growth in vitro and in vivo To assess the effect of depletion of ADAR1 on PCa cells, we generated stable ADAR1-knockdown cells (shADAR1) and negative control cells (shNC) in DU-145 and VCaP cells using lentivirus-packaged short-hairpin RNA (shRNA). ADAR1 protein level was greatly decreased in knockdown cells relative to control without affecting ADAR2 (Fig. 2 A; Supplementary Fig. S2A and S2B). A marked decrease of A-to-G editing level upon ADAR1 loss was observed in a known ADAR1 editing target GLI1 (Fig. 2 B; ref. 38). Consistent with previous studies in other tumors ( 13 , 39 – 41 ), depletion of ADAR1 significantly inhibited PCa cell proliferation, migration, and invasion in vitro (Fig. 2 C and I; Supplementary Fig. S2C). Via flow cytometry, we observed ADAR1 knockdown results in cell cycle arrest at G0/G1 phase and increased apoptosis (Fig. 2 G and H). Next, to determine whether ADAR1 knockdown compromises tumor growth in vivo , we inoculated subcutaneously DU-145 shADAR1 and shNC cells into mice. Surprisingly, only one mouse grew little tumor while others (5/6) did not grow visible tumors, suggesting ADAR1 loss did abrogate tumor growth (Fig. 2 J-L; Supplementary Fig S2D). Next, we overexpressed empty vector (EV), Flag-tagged ADAR1-wild type (ADAR1-WT), and catalytically inactive ADAR1 E912A mutant (ADAR1-Mut) in DU-145 cell (Fig. 2 D). A large increase in editing level of GLI1 was found in ADAR1-WT cells relative to EV while ADAR1-Mut did not (Fig. 2 E). Cell proliferation assay showed a higher growth rate of WT cells and comparable proliferative profile between Mut and EV cells, which demonstrated ADAR1’s pro-proliferation ability is deaminase activity-dependent (Fig. 2 F). These findings clearly implicate that loss of ADAR1 inhibits PCa tumor cell growth in vitro and in vivo via cell cycle arrest and apoptosis. Depletion of ADAR1 significantly modulates transcriptional activity involved in tumor survival To comprehensively understand the signaling modulation of ADAR1, we performed whole transcriptome sequencing (RNA-seq) on DU-145 shADAR1 and shNC cells with good concordance between two biological replicates (Supplementary Fig. S3A). After ADAR1 knockdown, 139 and 48 genes were upregulated and downregulated, respectively, such as ADAR , CDK6 , and CDH1 , as shown in volcano plot and heat map (Fig. 3 A; Supplementary Fig. S3B). In accordance with cell proliferation arrest phenotype observed in ADAR1 loss, gene set enrichment analysis (GSEA) using the Hallmarks gene set from the Molecular Signatures Database (MSigDB) showed substantial suppression of cell proliferation and cell-cycle related pathways, such as MYC targets, G2M checkpoint, and E2F targets (Fig. 3 B). In addition, ADAR1 loss increased gene enrichment in P53 and apoptosis pathway, though not significant (Fig. 3 D). It is worth noting that cell adhesion molecules (CAMs) pathway in KEGG (Kyoto Encyclopedia of Genes and Genomes) was dramatically upregulated (Fig. 3 C), which may be attributed to suppressed epithelial-mesenchymal transition (EMT) signaling as evidenced by increased expression of epithelial marker (E-cadherin) and decreased expression of mesenchymal markers (N-cadherin) (Fig. 3 F). We further confirmed reduced expression of cell proliferation and cell cycle-regulated protein CDK6 and c-MYC, and increased P53 protein and cleaved PARP upon ADAR1 KD (Fig. 3 E and F). As an RNA editing enzyme, ADAR1 is responsible for avoiding hyper-activated IFN-I responses induced by endogenous dsRNA. Consistent with this, IFN-α response, IFN-γ response, and TNFα signaling via NF-κB pathways were found to be positively enriched in shADAR1 group, which could be attributed to elevated expression of IFN-stimulated genes (ISGs) (Fig. 3 C). We then used enzyme-linked immunosorbent assay (ELISA) to detect IFN-γ content in peripheral blood in shADAR1 and shNC xenograft mice since shADAR1 mice barely grew tumors. As expected, IFN-γ in PB of shADAR1 mice showed an approximate 2-fold increase relative to shNC mice (Fig. 3 G). To assess immune infiltration, we performed flow cytometry to determine the abundance of cytotoxicity CD8 + T cells. In line with above bioinformatics results (Supplementary Fig. S1G), CD8 + T cells in shADAR1 mice spleen were significantly more than shNC (Fig. 3 H; Supplementary Fig. S3C). All these results show the critical roles of ADAR1 in regulating signaling involved in tumor cell proliferation, apoptosis, immune response, and metastasis. Characterize MTDH as a novel target of ADAR1 governing PCa carcinogenesis and metastasis Subsequently, to investigate the mechanism of signaling modulation of ADAR1, we identified the direct targets of ADAR1 in PCa through multi-omics sequencing. In our RNA-seq data, a large decline of A-to-G editing events occurred in shADAR1 cells (Supplementary Fig. S4A), and these editing sites were mainly enriched in intron and 3′ UTR (Supplementary Fig. S4B). To acquire ADAR1 bound transcripts, we performed RNA-immunoprecipitation sequencing (RIP-seq) using an ADAR1 antibody (Supplementary Fig. S5C). In all bound approximate 2000 RNA peaks, introns and exons account for 49.72% and 27.34% of peak region, respectively (Supplementary Fig. S4D). In addition, based on our RNA-seq data, we screened A-to-G editing frequency difference of more than 0.1 between shNC and shADAR1 group (shNC - shADAR1 > 0.1) to acquire 487 genes (Supplementary Fig. S4C). Subsequently, according to 487 editing genes, all bound 1993 peaks, and total genes (expression count > 200), we obtained 114 potential targets of ADAR1 (listed in Supplementary Table S3), as shown in the Venn diagram (Supplementary Fig. S4E). GO and KEGG analysis showed that these 114 genes were mainly enriched in processes such as translation, viral process, cell cycle, ribosome, and apoptosis (Supplementary Fig. S5A and S5B). Based on their functions in literature, we further selected 28 genes and validated their bindings with ADAR1 using qPCR assay (Supplementary Fig. S4F). We found numbers of targets were positively accumulated in ADAR1 relative to lgG, such as MTDH , EIF2AK2 , and IFNAR1 (Fig. 4 A; Supplementary Fig. S5D). Sanger sequencing was performed to validate editing sites indicated in RNA-seq data. RBBP4 , EIF2AK2 , DFFA , IFNAR1 , and MTDH were confirmed with a decline of editing levels upon ADAR1 loss (Fig. 4 B; Supplementary Fig. S5E). To investigate the crucial targets governing tumor survival in PCa, we firstly examined their correlations with ADAR1. Bioinformatics analysis data suggested that ADAR1 and MTDH have a strong positive correlation in PCa (Supplementary Fig. S6D). Our RNA-seq data also showed a large decline editing levels of MTDH in normal PCa tissues compared to tumors (Supplementary Table S4). Previous studies demonstrated that MTDH is an oncogenic protein associated with tumors growth and metastasis via modulation of cell cycle arrest, apoptosis, and EMT signaling, furthermore, MTDH loss also inducing cytotoxic T cell infiltration in colorectal and lung cancers ( 42 , 43 ). These phenotypes are consistent with ADAR1 loss in PCa. Therefore, we speculated that MTDH might be the downstream target of ADAR1 in promoting PCa cell growth and metastasis. Firstly, RIP-qPCR and Sanger sequencing assay had confirmed that MTDH is a direct editing target of ADAR1 (Fig. 4 A and B). Then we decided to elucidate the mechanism through which ADAR1 interacts and regulates MTDH . We examined expression of MTDH in RNA-seq data which did not show any difference between shNC and shADAR1 groups and confirmed using qPCR (Fig. 4 C). However, the protein level of MTDH showed a pronounced reduction upon ADAR1 knockdown (Fig. 4 C). Then, we overexpressed ADAR1-WT and -Mutant in shADAR1 cells, and found that wild-type ADAR1 could completely rescue MTDH protein level and cell viability while mutant-type could not even partially, demonstrating maintenance of MTDH protein is dependent on ADAR1’s deaminase activity, which is also essential for cancer cells survival (Fig. 4 D and E). Next, we decided to dissect why MTDH would dramatically reduce upon ADAR1 knockdown. Unexpectedly, knockdown of ADAR1 did not alter MTDH mRNA stability after transcription was inhibited by actinomycin D treatment (Fig. 4 F). Therefore, we questioned whether ADAR1 would affect accumulation of MTDH mRNA in ribosome machinery. We conducted ribosome immunoprecipitation assay using anti-RPL22 (constituent of 60S ribosome protein) antibody, and results showed that MTDH mRNA enrichment significantly decreases in ribosome machinery upon ADAR1 knockdown (Fig. 4 G and H). We speculated less degree of editing in 3′ UTR of MTDH mRNA resulted in reduced ribosome occupancy. ADAR1 editing of endogenous RNA plays a role in preventing PKR activation, which allows PKR-eIF2α axis downregulating translation during IFN response ( 44 ). Moreover, we observed PKR and eIF2α activation following ADAR1 knockdown in DU-145 cell line, consistent with previous studies (Fig. 4 I; ref. 44–46). This may be one reason for reduction of MTDH translation upon ADAR1 knockdown. We then overexpressed MTDH in ADAR1 knockdown cells and found MTDH could rescue compromised proliferation and invasion phenotype induced by ADAR1 loss (Fig. 4 J-L), which demonstrated that suppressed proliferation and invasion upon ADAR1 loss in PCs is MTDH-dependent. Finally, we were interested in clinical significance of MTDH in prostate cancer. Above mentioned three pairs of PCa tissues were subjected to Sanger sequencing and WB analysis to evaluate editing level and protein level of MTDH, respectively. We observed elevated editing level of MTDH in tumors relative to normal tissues (Supplementary Fig. S6A). Expression of MTDH was also significantly higher in tumors in both protein and mRNA levels (Supplementary Fig. S6B and S6C). Collectively, these findings demonstrate MTDH as a novel and critical downstream target of ADAR1 is responsible for cell proliferation and invasion, and may be a clinical biomarker for prostate cancer. Discover a novel and potent small molecule inhibitor of ADAR1 Though others have reported 8-aza as a potential inhibitor of ADAR1, there has not yet been strong evidence suggesting its direct binding and inhibition with ADAR1 protein. 8-aza has been reported to slightly inhibit ADAR2 deaminase activity with an IC 50 of 15 mM, and has only obscure evidence to show ADAR1 inhibition ( 37 , 47 ). To discover potential ADAR1 inhibitors, a structure-based virtual screening was conducted by LibDock and CDOCKER of Discovery Studio 2021 (Fig. 5 A). According to a recent study of ADAR1 protein structure (48), homology modeling of ADAR1 was applied to this procedure and the pocket was defined as a catalytic pocket. Through two rounds of screening of SPECS and in-house libraries, we obtained the hit compound 8-bromoadenosine (8-Br-Ado, Fig. 5 A), which has moderate inhibitory activity against ADAR1 with IC 50 > 20 µM (Supplementary Fig. S7B), and moderate cytotoxicity against DU-145 cell with an IC 50 of 41.83 µM (Supplementary Fig. S7C). Binding mode showed 8-Br-Ado formed favorable hydrogen bonds with crucial residues in ADAR1 (Supplementary Fig. S7A). Taking 8-Br-Ado as the lead compound, we designed and synthesized a series of derivatives for further structural optimization. A newly synthesized compound ZYS-1 (Fig. 5 A) showed strong inhibitory activity against ADAR1 deaminase with an IC 50 of 0.866 µM (Fig. 5 D) and profound anti-proliferation activities against multiple PCa cell lines with IC 50 within submicromolar magnitude, though, with several-folds higher IC 50 values against RWPE1 (Fig. 5 C; Supplementary Fig. S7D). Docking analysis suggested that in addition to hydrogen bonds with crucial residues, some extra weak interactions were formed between ZYS-1 and ADAR1 catalytic pocket, possibly helping better binding affinity (Fig. 5 B). To detect direct binding of ZYS-1 to ADAR1 protein, we performed microscale thermophoresis assay (MST) and confirmed their interaction with a K D value of 7.24 ± 2.88 µM (Fig. 5 F). Moreover, cellular thermal shift assay (CETSA) validated that ZYS-1 interacted with ADAR1 protein in cellular conditions (Fig. 5 E). Next, we assessed the direct inhibitory function of ZYS-1 on ADAR1 in PCa cells. A comparable cell proliferation profile was observed in shADAR1 and 50 nM treated cells (Fig. 5 G). We simultaneously treated shNC and shADAR1 cells with or without ZYS-1, and the difference of proliferation ratio (treated/untreated) started to show after 24 h and was more aggravated after 48 h (Fig. 5 H). Furthermore, ADAR1 loss resulted in a about 2-fold increase of IC 50 value of ZYS-1 in DU-145 cell (Supplementary Fig. S7E), meanwhile, forced expression of ADAR1 significantly attenuated growth inhibition by ZYS-1 (Supplementary Fig. S7F). As expected, ZYS-1 dose-dependently decreased editing level of GLI1 in DU-145 and VCaP cells (Fig. 5 I). This dose-dependent decrease was also confirmed using RNA-editing site specific quantitative PCR (RESSqPCR) (Fig. 5 J; ref. 49). Both results demonstrate ZYS-1 inhibits catalytic activity of ADAR1 in cells. Taken together, these results indicate ZYS-1 directly binds to ADAR1 and inhibits its catalytic function. ZYS-1 strongly suppresses PCa cell growth and invasion via ADAR1 inhibition Consistent with the effect of ADAR1 knockdown, ZYS-1 not only inhibited cell proliferation (Fig. 5 C and G), but also inhibited cell colony formation ability, and induced cell cycle arrest at G0/G1 phase and substantial apoptosis in a dose-dependent manner (Fig. 6 A-C; Supplementary Fig. S8A). In addition, ZYS-1 significantly impaired DU-145 cell migration and invasion ability (Fig. 6 D). Interestingly, we further found that ZYS-1 could reduce ADAR1 protein levels in DU-145 and VCaP cells, while did not alter ADAR1 mRNA levels (Fig. 6 E). These data suggest that ADAR1 protein degradation induced by ZYS-1 is in a post-transcriptional manner. However, ADAR1 degradation induced by ZYS-1 was independent of proteasome degradation (Supplementary Fig. S8C and S8D). Precise mechanism needs further investigation. Moreover, selectivity over ADAR2 was noteworthy as ZYS-1 did not change ADAR2 protein level (Supplementary Fig. S8B). Furthermore, ZYS-1 recapitulated signaling modulation of ADAR1 KD on E-cadherin, N-cadherin, P53, cleaved PARP, CDK6, and c-MYC protein in DU-145 and VCaP cells (Fig. 6 F). We then evaluated effect of ADAR1 inhibition by ZYS-1 on MTDH. As expected, ZYS-1 dose-dependently reduced MTDH protein level but not changed its mRNA level, possibly via activation of PKR following targeting ADAR1 (Fig. 6 G; Supplementary Fig. S8F). Furthermore, in line with ADAR1 KD, MTDH editing level was decreased following ZYS-1 treatment (Fig. 6 H). IFNAR1 , another potential target of ADAR1, was also observed a decrease in editing level (Supplementary Fig. S8G). Notably, forced expression of MTDH moderately rescued cell viability inhibited by ZYS-1 (Fig. 6 I). Collectively, these results demonstrate that ZYS-1 suppresses tumor cell survival and invasion through ADAR1 inhibition. ZYS-1 displays significant anti-tumor efficacy and favorable safety profile in vivo As ZYS-1 exhibits a well anti-tumor effect in vitro , we then assessed the therapeutic effects of ZYS-1 in vivo using a DU-145-derived xenotransplantation mice model. Intraperitoneal administration of low dose (20 mg/kg/day) and high dose (40 mg/kg/day) of ZYS-1 significantly suppressed tumor growth relative to vehicle group in a dose-dependent manner, with tumor growth inhibition (TGI) rate achieving 66.68% and 81.83%, respectively (Fig. 7 A-C). Especially, tumor growth almost stagnated after treatment for 20 days. Meanwhile, no differences in body weight or behavior (data not shown) were observed between dosing and control group (Supplementary Fig. S10A). Also, H&E staining of key organs of dosed mice did not exhibit apparent necrosis or inflammation (Supplementary Fig. S10B). Both results prove ZYS-1 is well tolerated and safe in vivo even after continuous administration. Next, H&E, Ki-67, and tunel staining were performed to evaluate tumor proliferation and apoptosis. Necrosis area of dosing group tumor was markedly larger as shown in H&E staining (Fig. 7 D). Proliferation level of tumor cells was lower after ZYS-1 treatment as indicated by Ki-67 staining (Fig. 7 D and E). Tunel staining was utilized to determine apoptosis and suggested ZYS-1 induced tumor cell apoptosis in a dose-dependent manner (Fig. 7 D and F). We also performed immunohistochemical staining of ADAR1 and showed ZYS-1 decreased ADAR1 protein level dose-dependently in tumor, recapitulating the effects in vitro (Fig. 7 D and G). Also, apoptosis-, cell cycle-, and EMT-associated protein level changes had a comparable tendency in tumors upon ZYS-1 treatment (Supplementary Fig. S10D). Subsequently, we assessed the acute toxicity of ZYS-1 in mice by treatment with various doses of ZYS-1 via intraperitoneal or oral administration. Lethal dose 50% (LD 50 ) of i.p. and p.o. was 208 and 687 mg/kg, respectively. Body and key organ weights and their H&E staining analysis were not found aberrant between dosed and control groups (Supplementary Fig. S9A and S9B). These evidences show that ZYS-1 has strong anti-tumor efficacy and is relatively safe in vivo . Previous studies have demonstrated that loss of ADAR1 in tumor promotes IFN release and efficacy of immunotherapy such as PD-1 blockade ( 36 ). This sensitivity of tumor to immunotherapy is mediated by IFN release induced by ADAR1 loss. We thus determined the concentration of IFN-γ in tumor of xenograft mice. ELISA and WB analysis both validated increased human IFN-γ release in tumor in a dose-dependent manner (Fig. 7 H; Supplementary Fig. S10D). Consistent with the increase of CD8 + T cells upon ADAR1 loss, we found that ZYS-1 treatment significantly elevated proportion of CD8 + T cells in tumor and spleen (Fig. 7 I-K). In addition, immunosuppressive myeloid-derived suppressor cells (MDSCs) CD11b + Gr1 + were decreased in tumors after ZYS-1 treatment (Supplementary Fig. S10C). These results together suggest ZYS-1 not only exerts anti-proliferation and pro-apoptosis effects on tumor, but also ameliorate TME and enhance anti-tumor immunity by induction of IFN-γ release, CD8 + T cell infiltration, and decrease of MDSCs. Taken together, targeting ADAR1 is a promising therapy for prostate cancer and may synergize with immunotherapy such as PD-1 blockade deserving further studies. ZYS-1 shows broad anti-tumor effects against various solid tumors and hematological malignancies Previous studies have identified ADAR1’s oncogenic roles in many tumor types, such as gastric cancer, lung cancer, glioblastoma, liver cancer, breast cancer, multiple myeloma, melanoma, pancreatic cancer, and leukemia ( 13 , 36 , 37 , 39 – 41 , 46 , 50 , 51 ). We thus chose several cancer cell lines to test anti-proliferation effect of ZYS-1 as ADAR1 level in these tumors was markedly higher than in non-tumor tissues in TCGA patients. ZYS-1 pronouncedly suppressed cell viability of all these cancer cell lines with low IC 50 values (< 1 µM; Supplementary Fig. S11A-S11F). In addition, ZYS-1 exhibited excellent anti-proliferation activity towards primary AML cells from patients (IC 50 < 200 nM; Supplementary Fig. S11G). Particularly, ZYS-1 also potentiated ATRA-induced myeloid differentiation in these primary AML cells in a dose-dependent manner, possibly through an unknown mechanism by which ADAR1 inhibition on AML myeloid differentiation (Supplementary Fig. S11H). Collectively, these results suggest targeting ADAR1 with small molecule inhibitor ZYS-1 has broad therapeutic potential against a wide range of tumor types. Discussion Prostate cancer (PCa) remains a leading cause of cancer death in men ( 52 ). However, it will inevitably progress into incurable metastatic CRPC in most patients following ADT and AR antagonist therapy ( 53 ). Therefore, identifying novel and efficacious drug targets is urgently needed to expand therapeutic options for lethal PCa. ADAR1-mediated deamination of adenosine-to-inosine (A-to-I) within double-stranded RNA (dsRNA) is the most prevalent form of RNA editing that modifies the sequence of RNA transcripts without changing its genomic blueprints, and its aberration has revealed a close association with autoimmune disease Aicardi-Goutieres Syndrome (AGS), neurodegenerative disease Autism and many kinds of cancer ( 14 , 54 ). Although previous study has reported that PCA3/PRUNE2 axis is mediated by ADAR1 dependent RNA editing effects on tumor growth in AR-dependent prostate cancer cell lines ( 33 ), little is known about the role of ADAR1 in AR-negative prostate cancer, and the landscape of A-to-G editing targets in PCa remains underexplored. In the present study, we not only demonstrated that ADAR1-mediated A-to-G editing is a crucial carcinogenesis event in PCa, but also developed a novel small-molecule ADAR1 inhibitor, ZYS-1, that exhibits profound anti-proliferation activities against multiple cancer cells, not limited to PCa. Our data showed that ADAR1 is highly expressed in prostate cancer and associated with higher A-to-G editing levels. ADAR1 depletion and pharmacological inhibition dramatically suppressed PCa cells growth and metastasis, induced apoptosis, reduced the tumor burden and ameliorated immune response in vivo , We further identified oncogenic protein MTDH as a novel crucial edited target of ADAR1 driving tumor proliferation and invasion in PCa, whose translation was repressed by ADAR1 in an editing dependent manner. These data establish the critical regulatory role of ADAR1 in PCa initiation and progression, thereby expanding remedies for lethal PCa treatment. Several studies have analyzed RNA editing profile in cancer from high-throughput whole transcriptome RNA-seq data in public databases, showing that A-to-G editing levels are higher in most tumors rather than in the matched normal tissues ( 28 – 31 ), including prostate cancer. Recently, Chan and colleagues reported that five types of cancers have hyperediting patterns in the mesenchymal (M) phenotypes rather than in the epithelial (E) phenotypes, including prostate cancer ( 55 ). However, the precise molecular mechanism through which ADAR1-mediated A-to-G editing leading to prostate carcinogenesis and metastasis was not fully explored in these studies. Here combined with the TCGA public data and the RNA-seq data of three pairs of matched PCa and normal tissues, we demonstrate that a higher A-to-G editing level in PCa appears to be caused by higher expression of ADAR1 rather than ADAR2 . Subsequently, we identified 114 potential targets of ADAR1 through multi-omics analysis, which were mainly enriched in processes such as translation, viral process, cell cycle, ribosome and apoptosis. Based on their functions in literature, we further experimentally validated their binding with ADAR1. Importantly, we identified MTDH as a crucial edited target of ADAR1 in PCa. MTDH as an oncogenic protein has been implicated in various cancers, such as breast cancer, prostate cancer, hepatocellular carcinoma, colorectal cancer, gastric cancer, and lung cancer, which drove tumor development and drug resistance via modulation of AKT/PI3K, NF-κB, MAPK, and Wnt/β-catenin signaling ( 42 , 43 , 56 ). Previous studies showed higher A-to-G editing levels of MTDH in breast cancer and hepatocellular carcinoma ( 57 , 58 ), however, the connection of ADAR1 and MTDH has not been reported in PCa. In this study, we found elevated A-to-G editing level and higher expression level of MTDH in the three PCa specimens rather than normal tissues, and loss of ADAR1 reduced MTDH protein level, but not altered mRNA stability and transcript abundance. Rescue results showed that ADAR1/MTDH axis is regulated in an editing-dependent manner and mediates PCa cells proliferation and invasion. Indeed, we have shown that ADAR1 editing in 3′ UTR of MTDH affects the accumulation of MTDH mRNA in ribosome machinery, and ADAR1 knockdown resulted in upregulation of p-PKR and p-eIF2α, which trigger comprehensive translation shutdown ( 44 ). Rather, other studies suggested that ADAR1 regulates translation efficiency by affecting transcript spatial distribution and ribosome stalling ( 59 , 60 ). More precise mechanisms towards MTDH post-transcriptional regulation still need to be illuminated future. In addition, several recent articles reported loss of ADAR1 in tumors not only potentiates the efficacy of epigenetic therapy in colorectal cancer, but also confers susceptibility to the immunotherapy and overcomes resistance to immune checkpoint blockade in melanoma ( 35 , 36 ). Therefore, development of small-molecule drugs against ADAR1 is of therapeutic significance. However, hitherto, due to the lack of crystal structural information for the deaminase domain of ADAR1, no drug has been successfully discovered against ADAR1. Here, using the homology model created in a recent study ( 48 ), by structure-based virtual screening, we obtained the hit compound 8-Br-Ado which moderately inhibited the deaminase activity of ADAR1 and cell proliferation. Next, through further structural optimization and subsequent validation assays, we developed a novel small-molecule ADAR1 inhibitor, ZYS-1, which could bind to ADAR1 and inhibited its deaminase activity with an IC 50 of 0.866 µM. Recapitulating ADAR1 knockdown effect, ZYS-1 dramatically suppressed PCa cells growth and metastasis, induced apoptosis, reduced tumor burden and ameliorated immune response with a favorable safety profile in vivo , furthermore, modulating the certain signaling targets, e.g., CDK6 , MYC , CDH1 , CDH2 , TP53 , and EIF2AK2 . Importantly, ZYS-1 impaired the A-to-G editing levels of the novel target MTDH and IFNAR1 , and reduced MTDH protein level but not changed its mRNA level. Rescue assays showed that ZYS-1’s contribution to anti-tumor activity in PCa was through inhibition of ADAR1/MTDH axis. We first speculated ADAR1 protein degradation induced by ZYS-1 is in a post-transcriptional manner as ZYS-1 did not alter ADAR1 mRNA levels. A previous study has indicated that IFN signaling activation would induce ADAR1 degradation in an ubiquitination-dependent manner ( 61 ). We thus assumed that ZYS-1-induced ADAR1 degradation is ubiquitination/proteasome-dependent. At first, we used cycloheximide (CHX) to inhibit new protein synthesis. However, ZYS-1 only slightly induced ADAR1 protein degradation after 6 and 12 hours treatment (Supplementary Fig. S8C). Next, we used a proteasome inhibitor MG132 to inhibit proteasome-mediated protein degradation, however, MG132 treatment did not rescue the dramatic loss of ADAR1 upon ZYS-1 inhibition, suggesting independent of proteasome degradation (Supplementary Fig. S8D). Coincidently, overexpressed m6A methyltransferase METTL3/14 has been suggested to regulate N 6 -methyladenosine (m6A) on ADAR1 mRNA in glioblastoma. The m6A binding protein YTHDF1 was demonstrated to recognize m6A modification on ADAR1 mRNAs and promote its translation, as evidenced by ADAR1 protein reduction without affecting its mRNA level upon YTHDF1 knockdown ( 62 ). Therefore, we postulated ADAR1 degradation upon ZYS-1 treatment maybe through an m6A-YTHDF1 dependent mechanism as ZYS-1 led to a significant reduction of YTHDF1 protein level in PCa cells (Supplementary Fig. S8E). Though this may be one reason for ADAR1 protein reduction upon ZYS-1 treatment, the precise mechanism still needs further exploration. Finally, due to the lack of crystal structural information for the deaminase domain of ADAR1, we performed in silico docking to elucidate the binding mode between ZYS-1 and ADAR1 homology model. Docking analysis suggested that some crucial hydrogen bonds interactions (V894, K1003, V1004 and G1009) formed between ADAR1 and 8-Br-Ado or ZYS-1, which are located closely with catalytic metal-binding sites (C966, H988) and deaminase domain (E912, F972, D973, K996). However, in the interaction between ZYS-1 and ADAR1, halogens such as 2-F and 8-Cl formed some weak σ-hole interactions with C893, L1031 or T1033, similar to hydrogen bonds, which play an important role in the process of protein and ligand recognition and binding. This may be the reason why compound ZYS-1 exhibits a higher affinity to ADAR1 compared to 8-Br-Ado. Further study to obtain the crystal structure of ADAR1 has been undertaken in our collaborated laboratory. Expectantly, the co-crystal structure would elucidate the binding mode and more precisely guide to optimize ZYS-1 to enhance the inhibitory activity, pharmacokinetic profiles, safety properties or anti-tumor efficacy. In summary, our study carries out a model in which the disturbing of ADAR1-mediated A-to-G editing in MTDH triggers its translational shutdown, modulating tumor cells proliferation and invasion in prostate cancer. Encouragingly, we discover and develop a novel small-molecule ADAR1 inhibitor ZYS-1 with strong anti-tumor efficacy and favorable safety profile. Meanwhile, we highlight the widespread applicability of ADAR1 inhibitors in various cancers. All these findings may represent a new therapeutic strategy for prostate cancer and more malignancies by targeting epitranscriptomic RNA editing with single agent or combination with other therapies. Methods Clinical samples Three pairs of matched prostate tumor, normal prostate tissue, and fresh bone marrow (BM) blood of AML patients were obtained from Huai’an First People’s Hospital with patients’ informed consent. Fresh tissues were divided into several parts for protein and RNA isolation. Mononuclear cells (MNCs) were isolated from BM blood samples using Ficoll Paque Plus (GE Heathcare, 17-1440-02-1) for further studies. All samples used in this study were approved by medical ethics committee of Huai’an First People’s Hospital, and China Pharmaceutic University. Clinicopathologic information of each patient was listed in Supplementary Table S1. Cell Culture All cell lines used in this study were cultured in recommended culture medium at 37°C in 5% CO 2 . Sources and culture mediums of these cell lines were detailedly listed in Supplementary Table S1. All cell lines were detected no mycoplasma contamination annually and had valid STR profile. MNCs isolated from BM blood of AML patients were cultured in IMDM medium supplemented with 20% FBS, 10 ng/mL human cytokines IL-3, IL-6, SCF, TPO, and FLT3 ligand (all from Sino Biological). Bioinformatics data mining and analysis Expression data and clinical data of 497 PRAD patients in the Cancer Genome Atlas (TCGA) database were downloaded from the cBioPortal platform ( https://www.cbioportal.org ). Additionally, we downloaded expression data of 51 normal prostate tissue samples from the Genomic Data Commons (GDC, https://portal.gdc.cancer.gov/ ). To explore the prognostic value of ADAR1 , we assigned PRAD patients into three subgroup, ADAR1-high (top 10%), ADAR1-intermediate, and ADAR1-low (bottom 10%), based on the expression levels of ADAR1 . All statistical analyses were performed using R software (version 3.6.3). Synthesis of ZYS-1 To a solution of 2-fluoroadenosine (5.70 g, 20 mmol) and pyridine (3.22 mL, 40 mmol) in acetonitrile (80 mL) was added drop-wise SOCl 2 (7.25 mL, 100 mmol) at 0 ºC. The reaction mixture was continuously stirred for 4 h, and then subsequently warmed to room temperature for overnight. The resulting suspension was concentrated in vacuo. To the reaction mixture was added methanol (120 mL), water (12 mL), and NH 4 OH (24 mL), followed by stirring for 0.5 h at r.t. The reaction mixture was concentrated and the solid was precipitated in the water phase, and the filter cake was obtained by filtration. The filter cake was re-dissolved in a small amount of methanol at 60 ºC, and dichloromethane was added dropwise. The solid was precipitated by cooling, filtered and washed with cold methanol to obtain the product ZYS-1 as a white solid (5.45 g, 90%). 1 H NMR (400 MHz, DMSO- d 6 ) δ 8.34 (s, 1H), 7.92 (s, 2H), 5.84 (d, J = 5.6 Hz, 1H), 5.58 (s, 2H), 4.67 (t, J = 5.4 Hz, 1H), 4.26–4.16 (m, 1H), 4.10 (q, J = 5.4, 5.0 Hz, 1H), 3.99–3.81 (m, 2H). 13 C NMR (101 MHz, DMSO) δ 158.61 (d, J = 206.4 Hz,), 157.70 (d, J = 19.3 Hz), 150.75 (d, J = 19.7 Hz), 140.01, 117.58, 87.40, 83.74, 72.69, 71.17, 44.76. Cell Proliferation Assays Cell proliferations were evaluated using the Cell Counting Kit-8 (Share-bio, SB-CCK8). Briefly, 5000–20000 cells/well were seeded into 96-well plate and treated with several diluted concentrations of test compounds or DMSO as control in triplicates. After treatment for 72 h, 10 µL of CCK-8 solution was added into each well, and the absorbance at 450 nm was measured using a microplate reader (Bio-Tek SynergyH1) upon incubation for 4 h at 37°C. Data were fitted in nonlinear regression and IC 50 values were calculated by GraphPad Prism 8.0. For cell growth assays, cell viabilities were determinated at 0, 24, 48, 72, and 96 h. Western Blotting Western blotting assay was performed similarly as described previously ( 63 ). Cells were lysed in RIPA lysis buffer (Thermo Fisher Scientific, 89901) at 4°C, and the lysate supernatant were added with protease inhibitor (Roche, 04693132001) and phosphatase inhibitor (Roche, 04906845001). Protein concentration of lysates was quantified using a BCA protein assay kit (Thermo Fisher Scientific, 23227). Equal amounts of protein were loaded onto 8–12% SDS-PAGE gel and transferred onto a polyvinylidene difluoride (PVDF) membrane, which was blocked with 0.5% skim milk in Tris-buffered saline supplemented with 0.5% Tween 20 (TBS-T) and then incubated with indicated primary antibodies. Flowing washing in TBS-T, membranes was incubated with horseradish peroxidase-conjugated (HRP) secondary antibody for 1–2 h. The blots were visualized by a chemiluminscent detection system (Tanon, Shanghai, China). Cell migration and invasion assays Each transwell (Falcon, 353097) was seeded with 5 × 10 4 cells which have been starved in FBS-free medium for 12 h. Then, cells were allowed to migrate or invade to the bottom chamber for at least 24 h. Cells in the bottom of the chamber were fixed in 4% paraformaldehyde (PFA) for 10 min and stained with crystal violet for 10 min. For invasion assay, upper chambers were precoated with matrigel (Corning, 356234) and incubated for 12 h at 37°C. Images were taken using an inverted microscope (Nikon) and cell counts were quantified using ImageJ software. Colony formation assay 500–1000 cells/well were plated to 24-well plate and allowed for growth for 10–14 days, during which medium in wells were replaced every three days. 4% PFA was used to fix colony for 10 minutes, followed by staining with crystal violet for 10 minutes. Images were taken using an inverted microscope and colony numbers were quantified using ImageJ software. Lentivirus transfection Lentivirus particles of short-hairpin RNA against ADAR1 (pGV248-sh ADAR1 ) and its scrambled control (pGV112-shNC) were constructed and purchased from Genechem Co. Ltd. (Shanghai, China). For lentivirus transfection, 1–10 × 10 5 cells were seeded onto 6-well plate and allowed for adhesion for 24 h, followed by transfection with above lentivirus in the presence of HitransG P (Genechem, REVG005). After 16–24 h, medium containing virus was removed. Transfected cells were allowed for growth for 3–5 days, during which GFP fluorescence was observed every day, followed by treatment with 2 µg/mL puromycin for 24 h to select positive infected cells. All transfected cells were validated by qRT-PCR and western blotting, and maintained in medium containing 1 µg/mL puromycin. The lentiviral particles were used at 20 multiplicity of infection (MOI). The target sequences of the sh ADAR1 and shNC were as follows: shNC: 5′-TTCTCCGAACGTGTCACGT-3′; sh ADAR1 1#: 5′-GATACTACACCCATCCATT-3′; sh ADAR1 2#: 5′-AGGGTATGTTGACTTTGAA-3′. Transient overexpression of MTDH, ADAR1 WT and ADAR1 Mut All plasmids including pGV141-EV, pGV141- ADAR1 WT, pGV141- ADAR1 Mut, and pGV141- MTDH were constructed and purchased from Genechem Co. Ltd. (Shanghai, China). Briefly, 3 × 10 5 DU-145 cells were seeded onto 6-well plate and allowed for adhesion to 70% confluence. Each well was added 200 µL transfection complex in RPMI1640 medium containing 1 µg plasmid and 1 µL X-tremeGENE HP DNA Transfection Reagent (Roche, 06366236001). After 24–48 h transfection, expressions were validated by western blotting. The primers used for amplifying ADAR1 and MTDH cDNA by PCR were listed in Supplementary Table S2. Cellular Thermal Shift Assay (CETSA) CETSA was performed following the protocol by Huang et al ( 64 ). Cells were harvested and lysed in PBS containing 50 mM Tris-HCl (pH 7.5), 150 mM NaCl, and 2 mM DTT after freeze-thawed three times using liquid nitrogen. Upon centrifugation, supernatant were added ZYS-1 or DMSO and incubated at 25°C. Subsequently, the supernatant were divided equally and denatured at various temperatures for 5 min. These samples were analyzed by SDS-PAGE and western blot. Relative protein band intensity was analyzed by Image J software and the apparent aggregation temperature ( T agg ) was fitted and calculated by GraphPad Prism 8.0 software. RNA-seq and Data Analysis Cells were harvested and total RNA was extracted using Beyozol Total RNA Extraction Reagent (Beyotime, R0011) following the instruction of the manufacturer. Total mRNA was enriched by Obligo(dT) beads, then fragmented into short fragments and reversely transcribed into cDNA with random primers. After the second-strand cDNA was synthesized, cDNA fragments were purified, end repaired, added poly(A), and ligated to Illumina sequencing adapters. The ligation products were size selected by agarose gel electrophoresis, amplified by PCR, and sequenced using Illumina HiSeq2500 by Genedenovo Biotechnology Co., Ltd (Guangzhou, China). Raw reads were cleaned to remove adapters or low quality reads and rRNA mapped reads. Clean reads were mapped to Homo sapiens genome. Gene expressions were quantified by FPKM (fragment per kilobase of transcript per million mapped reads) value and differential expression analysis was performed by DESeq2 software between two different groups with false discovery rate (FDR) below 0.05 and absolute fold change ≥ 2 considered differentially expressed genes. Gene Ontology (GO), Gene Set Enrichment Analysis (GSEA), Kyoto Encyclopedia of Genes and Genomes (KEGG), and hallmark gene sets in Molecular Signatures Database (MSigDB) were used to analyze the enriched pathways. Bioinformatic analysis was performed using Omicsmart platform ( https://www.omicsmart.com ). Cell Cycle and Apoptosis Assays For cell cycle analysis, cells were collected and fixed with 70% ethanol overnight at 4°C. Cells were washed with PBS and stained with propidium iodide (PI) using Cell Cycle Analysis Kit (Beyotime, C1052) for 30 min at 37°C. After staining, samples were subjected immediately to flow cytometry analysis. For cell apoptosis analysis, YF®488-Annexin V and PI Apoptosis Kit (US Everbright, Y6002) was used following the manufacturer’s instructions. Cells were collected and stained with YF®488-Annexin V and PI for 20 min at room temperature away from light. To avoid disturbance from GFP fluorescence in shNC and shADAR1 cells, we used Annexin V-APC and 7AAD doubling staining method (Annexin V-APC and 7AAD Apoptosis Kit, US Everbright, A6030) to determine their apoptosis. Samples were subjected immediately to flow cytometry analysis. Flow cytometry was conducted using FACS Celesta (BD) and FACS Calibur (BD) and data was analyzed using FlowJo V10 software. ADAR1 deaminase activity determination The ability of compounds to inhibit purified ADAR1 protein deaminase activity was determined by Adenosine Deaminase (ADA) Activity Assay Kit (Fluorometric) (Abcam, ab204695) following the manufacturer’s instructions. Measure output on a fluorescent microplate reader at Ex/Em = 535/587 nm in a kinetic mode, every 2 minutes, for at least 60 minutes at 37°C protected from light. The fluorescent value in two time points in compounds treated group relative to control group was regarded as remaining ADAR1 deaminase activity. Flow Cytometry Tumors from xenograft mice were ground mechanically, digested, and filtered with 70-µm screen to provide single cell suspensions. Fresh spleens collected from xenograft mice were subjected to erythrocytes lysis (Biolegend, 420301). Mice cells were blocked with anti-mouse CD16/32 (TruStain FcX™, Biolegend, 101319), followed by cell surface staining with various labeled antibodies for 20 min at 4°C in the dark. MNCs isolated from BM blood of AML patients were blocked with Fc receptor blocking solution (Human TruStain FcX™ Biolegend, 422301). Subsequently, cells were centrifuged and resuspended in Cell Staining Buffer (Biolegend, 420201), and were subjected to flow cytometry directly. Anti-mouse antibodies used were as follows: FITC-CD3, APC-CD8a, FITC-CD11b, APC-Gr-l (ly6C/ly6G). Anti-human antibodies used were as follows: FITC-CD11b, APC-CD15. Flow cytometry was conducted using FACS Celesta (BD) and FACS Calibur (BD) and data was analyzed using FlowJo V10 software. Immunohistochemistry (IHC) Tumors and key organs from prostate cancer xenograft mice were fixed in 4% PFA followed by embedded in paraffin wax, sectioned in slides. Sections were incubated with 3% H 2 O 2 for 10 min to quench endogenous peroxidase activity followed by antigen retrieval using unmasking solution. Nonspecific binding was blocked with 2% goat serum for 30 min. These sections were then subjected to ADAR1, Ki-67, Tunel and hematoxylin and eosin (H&E) staining. Organs from mice in acute toxicity study were carried out for H&E staining. A human prostate cancer tissue microarray was purchased from Servicebio technology Co., Ltd. (Wuhan, China). This slide was stained with anti-ADAR1 (1:200 dilution) antibody. Immunohistochemistry staining intensity was measured by Image-Pro Plus 6.0 software. The staining H-Score was calculated by the following formula: H-SCORE = (percentage of cells of weak intensity) × 1 + (percentage of cells of moderate intensity × 2) + percentage of cells of strong intensity × 3). Slide was visualized using CaseViewer2.2 software. Clinicopathologic information of each patient was listed in Supplementary Table S1. Enzyme-Linked ImmunoSorbent Assay (ELISA) Tumor was lysed in RIPA lysis buffer. IFN-γ level in lysate or plasma was detected using Mouse IFN-γ ELISA Kit (Beyotime, PI508) or Human IFN-γ ELISA Kit (Beyotime, PI511) according to manufacturer’s instructions. Briefly, samples were added into pre-immobilized IFN-γ antibody 96-well plate and incubated for 2 h in r.t. IFN-γ biotinylated antibodies were added into plate and incubated for 1 h in r.t. Subsequently, horseradish peroxidase labeled streptavidin was added into plate with incubation for 20 min followed by adding stop solution, and then immediately measured in 450 nm. The IFN-γ content in tumor or plasma was calculated based on standard curve. Determination of editing level in cells Cells were extracted using RNA-easy Isolation Reagent (Vazyme, R701-01) following the manufacturer’s instructions. RNA was reversely transcribed to cDNA using the HiScript® III 1st Strand cDNA Synthesis Kit (Vazyme, R312-02). To precisely measure the A-to-G levels in RNA target, NestPCR was performed to amplify cDNA product preventing mismatching. cDNA product was subjected to PCR amplification for 25 cycles followed by the second PCR for 35 cycles using Phanta® Max Super-Fidelity DNA Polymerase (Vazyme, P505-d1) (Primers used for NestPCR in Supplementary Table S2). cDNA products were purified by agarose gel electrophoresis, and then subjected to Sanger Sequencing. The editing level was quantified based on peak height ratio (%G/(A + G)) using BioEdit software. Quantitative Real-Time PCR (qRT-PCR) and RNA editing site-specific qRT-PCR (RESSqPCR) Total RNA was extracted using RNA-easy Isolation Reagent according to the manufacturer’s instructions. RNA was reversely transcribed to cDNA using HiScript® III RT SuperMix (Vazyme, R323-01) and then subjected to qRT-PCR using ChamQ SYBR qPCR Master Mix (Low ROX premix) (Vazyme, Q331-02). All qPCR assays were run in an ABI 7500 Fast Real-Time PCR system (Applied Biosystem, USA). In this study, each sample was run in triplicates. Relative gene expressions were calculated by 2 −ΔΔCt method and GAPDH was used as endogenous control. To determine editing level with qPCR method, RESSqPCR was used to confirm the reduced editing level of known target of ADAR1 as previously reported. Relative RNA editing ratios (Relative edit/WT RNA) were calculated using the following formula: 2 −(Ct Edit − Ct WT) . The primers used for qPCR and RESSqPCR were listed in Supplementary Table S2. Animal studies Four- to five-week-old wild-type female BALB/c mice were purchased from Shanghai SLAC Laboratory Animals Co. Ltd. We subcutaneously implanted 1 × 10 6 tumor cells (mixed 1:1 v/v with matrigel) into the right flank of BALB/c mice age-matched to 6- to 8-week-old. Drug treatment was started when xenograft tumor size reached to around 70–100 mm 3 . ZYS-1 was administrated into mice via intraperitoneal injection twice every day before euthanatizing mice. Tumor volumes were measured every two days using the formula: L × W 2 /2. There were 8 mice in the vehicle group and 12 mice in both low dose group (20 mg/kg/day) and high dose group (40 mg/kg/day). At the end point of experiment, we euthanized the mice, and dissected, photographed, and weighed tumors and key organs. Tumors and organs were either preserved in 4% PFA or carried out directly to further analysis. All animal studies conformed to the guideline of experimental animal of China Pharmaceutic University. Acute toxicity assay Six- to eight-week-old wild-type female ICR mice were purchased from Shanghai SLAC Laboratory Animals Co. Ltd. Mice were intraperitoneally or orally administrated with various doses of ZYS-1 for single time, and body weights and conditions were recorded every two days for two consecutive weeks. Each dosing group contained 10 mice. At the end time, all mice were euthanized and key organs were dissected, weighed and kept in 4% PFA for H&E staining. LD 50 was calculated using GraphPad Prism 8.0 software. RNA immunoprecipitation (RIP) assay Cells were lysed in lysis buffer (100 mM KCl, 5 mM MgCl 2 , 10 mM Hepes pH 7.0, 1 mM DTT, 50 units/mL RNase out, 1 × protease inhibitor cocktail, 1 × PBS) at 4°C for 2 h. Volume of 10% lysate was subjected to RNA isolation as input. 10 mg Protein A-Agrose beads (Sigma-Aldrich, P1406-250MG) was pre-treated with PBS three times and 2% BSA for 30 min and then incubated with 10 µL lgG control, ADAR1 or RPL22 antibody at 4°C for 2 h. Subsequently, beads-antibody complex was incubated with cell lysate on rotation at 4°C overnight. Beads were washed with PBS and then subjected to total RNA isolation. Purified RNA was reversely transcribed followed by qRT-PCR. For anti-ADAR1 RNA immunoprecipitation, extracted RNA was subjected to library construction and RNA-sequencing (Guangzhou Genedenovo Biotechnology Co., Ltd). Microscale thermophoresis assay (MST) Purified ADAR1 was first buffer-exchanged with spin-filter concentrator (amicon 30 kDa cutoff) to the dilution buffer of following composition: 25 mM HEPES, 200 mM NaCl pH7.5. Then the protein was labeled with the Monolith NT Protein Labeling Kit RED (NanoTemper, MO-L001) according to the manufacturer’s labeling protocol. Compounds were sequentially diluted covering the range of appropriate concentrations from 0.5 mM to 1 µM. The labeled protein was mixed with the same volume of diluted compound. Samples were loaded into Monolith standard-treated capillaries and the thermophoresis was measured at 22°C using 100% LED and 20% MST power on a Monolith NT.115 instrument (NanoTemper Technologies, München, Germany). Date analyses were performed with Mo.Affinity Analysis v2.2.4 and GraphPad Prism 8.0 software. Structure-Based Virtual Screening The three-dimensional structure of ADAR1 protein referred to the previously reported literature ( 48 ), and Discovery Studio 2021 (Accelrys, CA, USA) was employed to screen the combined ligand database, which was filtered by Lipinski’s rule of five, Veber’s rule and the ‘pan-assay interference compounds’. The structure-based virtual screening procedure contains two programs, LibDock and CDOCKER, LibDock is a molecular docking program based on a high-throughput algorithm, while the CDOCKER is a more accurate docking method that employs ligands flexibly to match the binding pocket. Based on the virtual screening procedure, we obtained 20 compounds from the ligand database for experimental study. Statistical analysis The unpaired, two-tailed Student’s t test was used to compare difference between two groups carried on SPSS 22.0 software, if not specifically indicated in figure legends. For bioinformatics analysis, Student’s t test and Mann-Whitney Wilcoxon test were used to compare continuous variables between two groups. Analysis of variance (ANOVA) was utilized to test the variance among multiple groups. Paired, two-tailed Student’s t test was used to compare ADAR1, ADAR2, and editing levels between 16 pairs matched tumor and normal tissues in TCGA, carried on GraphPad Prism 8.0 software. Kaplan-Meier plots and log-rank tests were used for relapse-free survival analysis. The values were expressed as mean ± SD with the numbers of replicates listed in figure legends. P < 0.05 was considered statistically significant. Declarations Acknowledgements This study was supported by National Natural Science Foundation of China (31970547, 82073701, 31900687), Natural Science Foundation of Jiangsu Province (BK2019040713, BK20190552, BK20190551) and the Project Program of State Key Laboratory of Natural Medicines, China Pharmaceutical University (SKLNMZZ202013). This study was also supported by Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University (No. 2020KFKT-5), and “Double First-Class” University Project (CPU2018GF04). Authors’ Disclosures The authors declare no competing financial interests. Authors’ contributions Conception and design: X. Wang, P. Yang, J. Li. Development of methodology: X. Wang, P. Yang, Y. Xiao, J. Li, Y. Zhu, Ting Zeng. Acquisition of data (investigation, bioinformatics data mining and process, collection of clinical samples, provided facilities, etc.): X. Wang, J. Li, Y. Zhu, T. Zeng, W. Min, J. Ding, F. Huang, S. Liang, W. Kuang, K. Yuan, M. Ji, C. Sun, Y. Hou, L. Wang, Y. Jiang, H. Hao, Y. Xiao, P, Yang. Analysis and interpretation of data (e.g., statistical analysis, bioinformatics analysis, computational analysis): X. Wang, J. Li, W. Min, J. Ding, F. Huang, P. Yang. Writing-review and editing: X. Wang, J. Li, P. Yang, H. Hao, Y. Xiao. Administrative, technical, or material support: X. Wang, P. Yang, H. Hao, Y. Xiao, L. Wang. References Islami F, Siegel RL, Jemal A. The changing landscape of cancer in the USA - opportunities for advancing prevention and treatment. Nat Rev Clin Oncol 2020;17:631–49. Cronin R, Brooke GN, Prischi F. The role of the p90 ribosomal S6 kinase family in prostate cancer progression and therapy resistance. Oncogene 2021;40:3775–85. Connor MJ, Shah TT, Horan G, Bevan CL, Winkler M, Ahmed HU. Cytoreductive treatment strategies for de novo metastatic prostate cancer. Nat Rev Clin Oncol 2020;17:168–82. Qian B, Yao Y, Liu C, Zhang J, Chen H, Li H. SU6668 modulates prostate cancer progression by downregulating MTDH/AKT signaling pathway. Int J Oncol 2017;50:1601–11. Fournier PG, Juarez P, Jiang G, Clines GA, Niewolna M, Kim HS, et al. The TGF-β signaling regulator PMEPA1 suppresses prostate cancer metastases to bone. Cancer Cell 2015;27:809–21. Watson PA, Arora VK, Sawyers CL. Emerging mechanisms of resistance to androgen receptor inhibitors in prostate cancer. Nat Rev Cancer 2015;15:701–11. Spratt DE, Zumsteg ZS, Feng FY, Tomlins SA. Translational and clinical implications of the genetic landscape of prostate cancer. Nat Rev Clin Oncol 2016;13:597–610. Brighi N, Conteduca V, Lolli C, Gurioli G, Schepisi G, Palleschi M, et al. The cyclin-dependent kinases pathway as a target for prostate cancer treatment: rationale and future perspectives. Crit Rev Oncol Hematol. 2021;157:103199. Arriaga JM, Panja S, Alshalalfa M, Zhao J, Zou M, Giacobbe A, et al. A MYC and RAS co-activation signature in localized prostate cancer drives bone metastasis and castration resistance. Nat Cancer 2020;1:1082–96. Welti J, Sharp A, Brooks N, Yuan W, McNair C, Chand SN, et al. Targeting the p300/CBP axis in lethal prostate cancer. Cancer Discov 2021;11:1118–37. Rasool RU, Natesan R, Asangani IA. Toppling the HAT to treat lethal prostate cancer. Cancer Discov 2021;11:1011–3. Galeano F, Tomaselli S, Locatelli F, Gallo A. A-to-I RNA editing: The “ADAR” side of human cancer. Semin Cell Dev Biol 2012;23:244–50. Teoh PJ, An O, Chung TH, Chooi JY, Toh SHM, Fan S, et al. Aberrant hyperediting of the myeloma transcriptome by ADAR1 confers oncogenicity and is a marker of poor prognosis. Blood 2018;132:1304–17. Gagnidze K, Rayon-Estrada V, Harroch S, Bulloch K, Papavasiliou FN. A new chapter in genetic medicine: RNA editing and its role in disease pathogenesis. Trends Mol Med 2018;24:294–303. Kurkowiak M, Arcimowicz L, Chrusciel E, Urban-Wojciuk Z, Papak I, Keegan L, et al. The effects of RNA editing in cancer tissue at different stages in carcinogenesis. RNA Biol 2021;AHEAD-OF-PRINT:1–16. Kawahara Y, Zinshteyn B, Sethupathy P, Iizasa H, Hatzigeorgiou AG, Nishikura K. Redirection of silencing targets by adenosine-to-inosine editing of miRNAs. Science 2007;315:1137–40. Tomaselli S, Galeano F, Alon S, Raho S, Galardi S, Polito VA, et al. Modulation of microRNA editing, expression and processing by ADAR2 deaminase in glioblastoma. Genome Biol 2015;16:5. Zhang Y, Qian H, Xu J, Gao W. ADAR, the carcinogenesis mechanisms of ADAR and related clinical applications. Ann Transl Med 2019;7:686. Fritzell K, Xu LD, Lagergren J, Ohman M. ADARs and editing: The role of A-to-I RNA modification in cancer progression. Semin Cell Dev Biol 2018;79:123–30. Teoh PJ, Koh MY, Chng WJ. ADARs, RNA editing and more in hematological malignancies. Leukemia 2021;35:346–59. Wang C, Zou J, Ma X, Wang E, Peng G. Mechanisms and implications of ADAR-mediated RNA editing in cancer. Cancer Lett 2017;411:27–34. Nakano M, Nakajima M. Significance of A-to-I RNA editing of transcripts modulating pharmacokinetics and pharmacodynamics. Pharmacol Ther 2018;181:13–21. Mannion N, Arieti F, Gallo A, Keegan LP, O'Connell MA. New insights into the biological role of mammalian ADARs; the RNA editing proteins. Biomolecules 2015;5:2338–62. Quin J, Sedmik J, Vukic D, Khan A, Keegan LP, O'Connell MA. ADAR RNA modifications, the epitranscriptome and innate immunity. Trends Biochem Sci 2021;Online ahead of print. Fumagalli D, Gacquer D, Rothe F, Lefort A, Libert F, Brown D, et al. Principles governing A-to-I RNA editing in the breast cancer transcriptome. Cell Rep 2015;13:277–89. Roth SH, Danan-Gotthold M, Ben-Izhak M, Rechavi G, Cohen CJ, Louzoun Y, et al. Increased RNA editing may provide a source for autoantigens in systemic lupus erythematosus. Cell Rep 2018;23:50–7. Xu LD, Ohman M. ADAR1 editing and its role in cancer. Genes (Basel) 2018;10:12. Han L, Diao L, Yu S, Xu X, Li J, Zhang R, et al. The genomic landscape and clinical relevance of A-to-I RNA editing in human cancers. Cancer Cell 2015;28:515–28. Tan MH, Li Q, Shanmugam R, Piskol R, Kohler J, Young AN, et al. Dynamic landscape and regulation of RNA editing in mammals. Nature 2017;550:249–54. Paz-Yaacov N, Bazak L, Buchumenski I, Porath HT, Danan-Gotthold M, Knisbacher BA, et al. Elevated RNA editing activity is a major contributor to transcriptomic diversity in tumors. Cell Rep 2015;13:267–76. Roth SH, Levanon EY, Eisenberg E. Genome-wide quantification of ADAR adenosine-to-inosine RNA editing activity. Nat Methods 2019;16:1131–8. Martinez HD, Jasavala RJ, Hinkson I, Fitzgerald LD, Trimmer JS, Kung HJ, et al. RNA editing of androgen receptor gene transcripts in prostate cancer cells. J Biol Chem 2008;283:29938–49. Salameh A, Lee AK, Cardo-Vila M, Nunes DN, Efstathiou E, Staquicini FI, et al. PRUNE2 is a human prostate cancer suppressor regulated by the intronic long noncoding RNA PCA3. Proc Natl Acad Sci U S A 2015;112:8403–8. Morel KL, Sheahan AV, Burkhart DL, Baca SC, Boufaied N, Liu Y, et al. EZH2 inhibition activates a dsRNA-STING-interferon stress axis that potentiates response to PD-1 checkpoint blockade in prostate cancer. Nat Cancer 2021;2:444–56. Mehdipour P, Marhon SA, Ettayebi I, Chakravarthy A, Hosseini A, Wang Y, et al. Epigenetic therapy induces transcription of inverted SINEs and ADAR1 dependency. Nature 2020;588:169–73. Ishizuka JJ, Manguso RT, Cheruiyot CK, Bi K, Panda A, Iracheta-Vellve A, et al. Loss of ADAR1 in tumours overcomes resistance to immune checkpoint blockade. Nature 2019;565:43–8. Zipeto MA, Court AC, Sadarangani A, Delos Santos NP, Balaian L, Chun HJ, et al. ADAR1 activation drives leukemia stem cell self-renewal by impairing Let-7 biogenesis. Cell Stem Cell 2016;19:177–91. Shimokawa T, Rahman MF, Tostar U, Sonkoly E, Stahle M, Pivarcsi A, et al. RNA editing of the GLI1 transcription factor modulates the output of Hedgehog signaling. RNA Biol 2013;10:321–33. Amin EM, Liu Y, Deng S, Tan KS, Chudgar N, Mayo MW, et al. The RNA-editing enzyme ADAR promotes lung adenocarcinoma migration and invasion by stabilizing FAK . Sci Signal 2017;10: eaah3941. Qin Y, Qiao J, Chan T, Zhu Y, Li F, Liu H, et al. Adenosine-to-Inosine RNA Editing Mediated by ADARs in Esophageal Squamous Cell Carcinoma. Cancer Res 2014;74(3):840–851. Sun Y, Fan J, Wang B, Meng Z, Ren D, Zhao J, et al. The aberrant expression of ADAR1 promotes resistance to BET inhibitors in pancreatic cancer by stabilizing c-Myc. Am J Cancer Res 2020;10:148–63. Dhiman G, Srivastava N, Goyal M, Rakha E, Lothion-Roy J, Mongan NP, et al. Metadherin: A therapeutic target in multiple cancers. Front Oncol 2019;9:349. Shen M, Xie S, Rowicki M, Michel S, Wei Y, Hang X, et al. Therapeutic targeting of metadherin suppresses colorectal and lung cancer progression and metastasis. Cancer Res 2021;81:1014–25. Chung H, Calis JJA, Wu X, Sun T, Yu Y, Sarbanes SL, et al. Human ADAR1 prevents endogenous RNA from triggering translational shutdown. Cell 2018;172:811–24. Gannon HS, Zou T, Kiessling MK, Gao GF, Cai D, Choi PS, et al. Identification of ADAR1 adenosine deaminase dependency in a subset of cancer cells. Nat Commun 2018;9:5450. Kung CP, Cottrell KA, Ryu S, Bramel ER, Kladney RD, Bao EA, et al. Evaluating the therapeutic potential of ADAR1 inhibition for triple-negative breast cancer. Oncogene 2021;40:189–202. Veliz EA, Easterwood LM, Beal PA. Substrate analogues for an RNA-editing adenosine deaminase: Mechanistic investigation and inhibitor design. J Am Chem Soc 2003;125:10867–76. Park S, Doherty EE, Xie Y, Padyana AK, Fang F, Zhang Y, et al. High-throughput mutagenesis reveals unique structural features of human ADAR1. Nat Commun 2020;11:5130. Crews LA, Jiang Q, Zipeto MA, Lazzari E, Court AC, Ali S, et al. An RNA editing fingerprint of cancer stem cell reprogramming. J Transl Med 2015;13:52. Dou N, Yu S, Ye X, Yang D, Li Y, Gao Y. Aberrant overexpression of ADAR1 promotes gastric cancer progression by activating mTOR/p70S6K signaling. Oncotarget 2016;7:86161–73. Chen L, Li Y, Lin CH, Chan TH, Chow RK, Song Y, et al. Recoding RNA editing of AZIN1 predisposes to hepatocellular carcinoma. Nat Med 2013;19:209–16. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J Clin. 2020;70:7–30. He MX, Cuoco MS, Crowdis J, Bosma-Moody A, Zhang Z, Bi K, et al. Transcriptional mediators of treatment resistance in lethal prostate cancer. Nat Med 2021;27:426–33. Wang H, Chen S, Wei J, Song G, Zhao Y. A-to-I RNA editing in cancer: From evaluating the editing level to exploring the editing effects. Front Oncol 2020;10:632187. Chan TW, Fu T, Bahn JH, Jun HI, Lee JH, Quinones-Valdez G, et al. RNA editing in cancer impacts mRNA abundance in immune response pathways. Genome Biol 2020;21:268. Khan M, Sarkar D. The scope of astrocyte elevated gene-1/metadherin (AEG-1/MTDH) in cancer clinicopathology: A review. Genes (Basel). 2021;12:308. Qi L, Song Y, Chan THM, Yang H, Lin CH, Tay DJT, et al. An RNA editing/dsRNA binding-independent gene regulatory mechanism of adars and its clinical implication in cancer. Nucleic Acids Res 2017;45:10436–51. Sagredo EA, Blanco A, Sagredo AI, Perez P, Sepulveda-Hermosilla G, Morales F, et al. ADAR1-mediated RNA-editing of 3′UTRs in breast cancer. Biol Res 2018;51:36. Yang CC, Chen YT, Chang YF, Liu H, Kuo YP, Shih CT, et al. ADAR1-mediated 3′ UTR editing and expression control of antiapoptosis genes fine-tunes cellular apoptosis response. Cell Death Dis 2017;8:e2833. Licht K, Hartl M, Amman F, Anrather D, Janisiw MP, Jantsch MF. Inosine induces context-dependent recoding and translational stalling. Nucleic Acids Res 2019;47:3–14. Li L, Qian G, Zuo Y, Yuan Y, Cheng Q, Guo T, et al. Ubiquitin-dependent turnover of adenosine deaminase acting on RNA 1 (ADAR1) is required for efficient antiviral activity of type I interferon. J Biol Chem 2016;291:24974–85. Tassinari V, Cesarini V, Tomaselli S, Ianniello Z, Silvestris DA, Ginistrelli LC, et al. ADAR1 is a new target of METTL3 and plays a pro-oncogenic role in glioblastoma by an editing-independent mechanism. Genome Biol 2021;22:51. Yuan K, Min W, Wang X, Li J, Kuang W, Zhang F, et al. Discovery of novel and selective CDK4/6 inhibitors by pharmacophore and structure-based virtual screening. Future Medicinal Chemistry 2020;12:1121–36. Huang Y, Su R, Sheng Y, Dong L, Dong Z, Xu H, et al. Small-molecule targeting of oncogenic FTO demethylase in acute myeloid leukemia. Cancer Cell 2019;35:677–91. Additional Declarations There is NO Competing Interest. Supplementary Files SupplementaryMaterial.pdf Supplementary Material TableS1.xlsx Supplementary Table S1 TableS2.xlsx Supplementary Table S2 TableS3.xlsx Supplementary Table S3 TableS4.xlsx Supplementary Table S4 Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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Yang\",\"email\":\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA30lEQVRIiWNgGAWjYDADfgjFTIIWyQaStRgcIFaLOXvv4dc8NXfsNh8/e0yCocI6sYH97AG8Wix7zqVZ8xx7lrztTF6aBMOZ9MQGnrwE/O65kWNmzMN2ONnsBo+ZBGPb4cQGCR4D/FruvwFq+Xc42XgGSMs/YrTc4DF+zNt22M5AAqSlgQgtlj05Zoxz+w4nSJzJS7ZIOJZu3MaTg1+LOfsZ4w9vvh22528/e/DGhxpr2X72MwQcxsDAJsXDwJDYwAAkE4AibHjVQ7Qwf/zBwGDPANIyCkbBKBgFowAbAAAt1kRE/RmsagAAAABJRU5ErkJggg==\",\"orcid\":\"https://orcid.org/0000-0002-2613-941X\",\"institution\":\"China Pharmaceutical University\",\"correspondingAuthor\":true,\"submittingAuthor\":false,\"prefix\":\"\",\"firstName\":\"Peng\",\"middleName\":\"\",\"lastName\":\"Yang\",\"suffix\":\"\"}],\"badges\":[],\"createdAt\":\"2021-09-06 02:20:31\",\"currentVersionCode\":1,\"declarations\":\"\",\"doi\":\"10.21203/rs.3.rs-879741/v1\",\"doiUrl\":\"https://doi.org/10.21203/rs.3.rs-879741/v1\",\"draftVersion\":[],\"editorialEvents\":[],\"editorialNote\":\"\",\"failedWorkflow\":false,\"files\":[{\"id\":13841222,\"identity\":\"f7148e40-1b03-4e6b-a900-3e2e08cceeb2\",\"added_by\":\"auto\",\"created_at\":\"2021-09-21 18:13:46\",\"extension\":\"png\",\"order_by\":1,\"title\":\"Figure 1\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":114070,\"visible\":true,\"origin\":\"\",\"legend\":\"ADAR1 is highly expressed in prostate cancer and associated with poor survival. (A) Analysis of A-to-G editing genes in three matched tumor and normal tissues from PCa patients. Those A-to-G editing level higher in tumor group are labeled in red, and higher in normal tissues are labeled in blue. (B-E) Comparison of ADAR1 expression between tumor and normal tissues (B), different Gleason grade patient groups (C), age \\u003c 65 or \\u003e 65 group (D), high and intermediate risk group (E) in TCGA database. (F) Kaplan-Meier survival plot of high (red line, n = 50) and low (blue line, n = 50) ADAR1 expression PRAD patients. Log-rank test, P = 0.0059. High and low expression patients represent top 10% and bottom 10% ADAR1 expression patients, respectively. (G and H) Immunohistochemical analysis of ADAR1 expression in prostate cancer patients. Representative pictures show ADAR1 expression in tumor and normal tissues, and in different grades (G). Scale bars, 200 μm (top) and 50 μm (bottom). Dot plot shows different ADAR1 expression profile between tumor (n = 38) and normal (n = 27) tissue group (H). Two-tailed unpaired Student’s t test. (I) ADAR1 protein levels of tumor and normal tissues in three PCa patients. (J) ADAR1 protein levels of five different PCa cell lines. *, P \\u003c 0.05; **, P \\u003c 0.01; ***, P \\u003c 0.001; Error bar, mean ± SD. \",\"description\":\"\",\"filename\":\"Onlinefloatimage1.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-879741/v1/326316e5d0fd4e453b44e46c.png\"},{\"id\":13841224,\"identity\":\"41c94d55-e8c1-4bf8-aa80-82b240ddcd39\",\"added_by\":\"auto\",\"created_at\":\"2021-09-21 18:13:46\",\"extension\":\"png\",\"order_by\":2,\"title\":\"Figure 2\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":154577,\"visible\":true,\"origin\":\"\",\"legend\":\"Depletion of ADAR1 inhibits tumor cells proliferation in vitro and in vivo via induction of cell cycle arrest and apoptosis. (A) Protein level of ADAR1 in DU-145 cells that were infected with lentiviral shNC and two independent shADAR1. (B) A-to-G editing frequency of known ADAR1 targets GLI1 on DU-145 shADAR1 and shNC cells, detected by Sanger sequencing; the triangle indicated the double peak A/G, labeled with the percentage of edit allele burden (%G/(A + G)). (C) Cell viability of DU-145 shADAR1 and shNC cells during a 5-day course. (D) Protein level of ADAR1 in DU-145 cells that were overexpressed with empty vector (EV), Flag-tagged ADAR1 wild type (WT), and ADAR1 E912A mutant (Mut). (E) A-to-G editing frequency of GLI1 on DU-145 cells that were overexpressed with EV, ADAR1 WT, and ADAR1 Mut. (F) Cell viability of DU-145 ADAR1 overexpressed and control cells during a 5-day course. (G) Cell cycle phase distribution of DU-145 ADAR1 KD cells determined by flow cytometry. (H) Representative flow cytometry plot for quantifying apoptosis in DU-145 ADAR1 KD and control cells, analyzed by 7-AAD and Annexin V staining. Labeled number indicates cell percentages of each area. (I) Migration and invasion ability of DU-145 shADAR1 and shNC cells. Representative images of migrated and invaded cells were shown. Scale bars, 500 μm. (J-L) BALB/c mice was implanted subcutaneously with DU-145 shADAR1 and shNC cells (n = 6 in each group). Tumor mass were photographed (J) and weighted (K) after executing mice. Body weights of mice were measured every two days (L). *, P \\u003c 0.05; **, P \\u003c 0.01; ***, P \\u003c 0.001; Unpaired two-tailed Student’s t test. Error bar, mean ± SD, if not indicated, n = 3.\",\"description\":\"\",\"filename\":\"Onlinefloatimage2.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-879741/v1/11212adf520e8563489d5508.png\"},{\"id\":13841233,\"identity\":\"129ea0de-5856-49fc-a0c8-62d3b0a3b37a\",\"added_by\":\"auto\",\"created_at\":\"2021-09-21 18:13:47\",\"extension\":\"png\",\"order_by\":3,\"title\":\"Figure 3\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":105441,\"visible\":true,\"origin\":\"\",\"legend\":\"RNA Sequencing combined validation assays to identify affected signaling pathways of ADAR1 loss in PCa cells. (A) Volcano plot of significantly affected (absolute fold change \\u003e 2, P value \\u003c 0.05) genes in DU-145 shADAR1 group relative to shNC group revealed by RNA-seq. Both shADAR1 and shNC groups contain two biological replicates. (B and C) Gene set enrichment analysis (GSEA) was performed to analyze the signaling pathways enrichment in shADAR1 and shNC group. NES, normalized enrichment score. FDR, false discovery rate. ES, enrichment score. (D) The core-enriched pathways were listed according to their NES value. (E) Quantitative PCR validation of increased or decreased genes in RNA-seq data. (F) Immunoblotting analysis of indicated protein on DU-145 shADAR1 and shNC cells. (G) Quantification of mouse IFN-γ concentration in peripheral blood in mice bearing DU-145 shADAR1- or shNC cell-derived tumor by ELISA at the endpoint. (H) Quantification of proportion of CD8+ T cells in spleen of mice bearing DU-145 shADAR1- or shNC cell-derived tumor by flow cytometry at the endpoint. Data are from three mice in each group. *, P \\u003c 0.05; **, P \\u003c 0.01; ***, P \\u003c 0.001; Unpaired two-tailed Student’s t test. Error bar, mean ± SD, n = 3.\",\"description\":\"\",\"filename\":\"Onlinefloatimage3.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-879741/v1/50beb9f9c72d37f8d80befdd.png\"},{\"id\":13841231,\"identity\":\"c1dc71e1-d148-490c-ad21-fd2ff4b57edb\",\"added_by\":\"auto\",\"created_at\":\"2021-09-21 18:13:47\",\"extension\":\"png\",\"order_by\":4,\"title\":\"Figure 4\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":141380,\"visible\":true,\"origin\":\"\",\"legend\":\"MTDH is a novel critical target of ADAR1 in PCa. (A) Relative enrichment of MTDH mRNA in ADAR1-RIP over IgG (control) determined by qPCR assays. GAPDH expression was used as a negative control. 10% volume of cell lysate was used as input. (B) Validation of editing sites (suggested by RNA-seq) of MTDH by Sanger sequencing. (C) Protein and mRNA level of MTDH between DU-145 shADAR1 and shNC cells. (D) Western blotting analysis showing MTDH level changes after overexpressing EV, ADAR1-Mut, or ADAR1-WT in DU-145 shADAR1 over control (shNC + EV) cells. (E) Cell viability of control cells and DU-145 shADAR1 cells overexpressed EV, ADAR1-Mut, or ADAR1-WT during a 5-day course. (F) Percentage of remaining MTDH mRNA in DU-145 shADAR1 and shNC cells after actinomycin D (5 μg/mL) treatment for 4, 8, and 12 hours. (G) Validation of RPL22-RIP assay by western blotting. 1% volume of cell lysate was used as input. (H) Relative enrichment of MTDH mRNA in RPL22-RIP over IgG (control) determined by qPCR assays. HPRT1 expression was used as negative control. 10% volume of cell lysate was used as input. (I) Protein level change of p-PKR, PKR, p-EIF2α and EIF2α after ADAR1 knockdown in DU-145 cells. (J) MTDH was overexpressed in DU-145 shADAR1 cells as examined by immunoblot. (K) Cell viability of control cells and DU-145 shADAR1 cells overexpressed EV or MTDH during a 5-day course. (L) Representative images and quantification of invaded cells of control (shNC + EV) cells and DU-145 shADAR1 cells overexpressed EV or MTDH. Scale bar, 500 μm. *, P \\u003c 0.05; **, P \\u003c 0.01; ***, P \\u003c 0.001; NS, not significant; Unpaired two-tailed Student’s t test. Error bar, mean ± SD, n = 3.\",\"description\":\"\",\"filename\":\"Onlinefloatimage4.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-879741/v1/ad3678f7a352c02bd3d3edda.png\"},{\"id\":13841227,\"identity\":\"2af6475f-8af8-479e-b285-5d38a2b4e958\",\"added_by\":\"auto\",\"created_at\":\"2021-09-21 18:13:47\",\"extension\":\"png\",\"order_by\":5,\"title\":\"Figure 5\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":145859,\"visible\":true,\"origin\":\"\",\"legend\":\"Discovery of ZYS-1, a potent small-molecule inhibitor of ADAR1. (A) Brief flowchart of the procedure to identify ADAR1 inhibitors from the libraries. (B) Binding mode of compound ZYS-1 in the catalytic pocket of ADAR1. Hydrogen bonds are shown as green dashed lines, σ-hole interactions are magenta, while ZYS-1 is shown in cyan stick. Distances are labeled (Å). The ADAR1 protein was built by homology modeling referred to a previous study. (C) IC50 values of ZYS-1 against cell viability of five PCa cell lines. (D) Effect of ZYS-1 on inhibition of catalytic activity of purified ADAR1 protein. (E) Representative immunoblot image (left) from CETSA and quantification of band intensity (right) relative to input indicating thermal shift of ADAR1 protein in DU-145 cells. Data are from three independent experiments. (F) Binding of ZYS-1 to ADAR1 protein was detected by MST assay. KD ± SD values are calculated from three independent experiments. (G) Effect of ADAR1 knockdown and ZYS-1 treatment on DU-145 cell viability. (H) Effect of ZYS-1 treatment (50 nM) on DU-145 shNC and shADAR1 cells, of which cell viability was normalized to that of DMSO-treated shNC and shADAR1 cells. (I) Sanger sequencing showing editing level changes on GLI1 in DU-145 and VCaP cells after treatment with 1 or 2 μM ZYS-1 for 48 h. (J) RESSqPCR was performed to detect GLI1 editing level changes in DU-145 and VCaP cells after treatment with 1 or 2 μM ZYS-1 for 48 h. *, P \\u003c 0.05; **, P \\u003c 0.01; ***, P \\u003c 0.001; Unpaired two-tailed Student’s t test. Error bar, mean ± SD, n = 3.\",\"description\":\"\",\"filename\":\"Onlinefloatimage5.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-879741/v1/76566cef39da12923e9a4463.png\"},{\"id\":13841228,\"identity\":\"19db084d-fd4d-4c45-8fb8-904717d8c213\",\"added_by\":\"auto\",\"created_at\":\"2021-09-21 18:13:47\",\"extension\":\"png\",\"order_by\":6,\"title\":\"Figure 6\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":106651,\"visible\":true,\"origin\":\"\",\"legend\":\"ZYS-1 strongly suppresses cell survival and invasion via cell cycle arrest and apoptosis, and modulates similar signaling to ADAR1 knockdown. (A) Representative images and quantification of colony numbers. Before plated on 24-well plate for colony formation, DU-145 cells were treated with DMSO or ZYS-1 for 48 h. (B) Cell cycle phase distribution of DU-145 cells after treatment with DMSO or ZYS-1 for 48 h determined by flow cytometry. (C) Apoptosis of DU-145 cells treated with DMSO or ZYS-1 for 48 h determined by flow cytometry. (D) Representative images and quantification of migration and invasion ability of DU-145 cells after treatment with DMSO or ZYS-1 for 48 h. Scale bar, 200 μm. (E) ADAR1 protein (top) and mRNA (bottom) level changes in DU-145 and VCaP cells after treatment with ZYS-1 for 48 h. (F) Immunoblot of indicated proteins in DU-145 and VCaP cells after treatment with DMSO or ZYS-1 for 48 h. (G) Immunoblot of MTDH, p-PKR, and PKR, and qPCR determination of MTDH level in DU-145 cells after treatment with DMSO or ZYS-1 for 48 h. (H) Sanger sequencing showing editing level changes on MTDH in DU-145 cells after treatment with 2 μM ZYS-1 for 48 h. (I) Cell viability of DU-145 MTDH overexpression cells after treatment with 200 nM ZYS-1 for 48 h, detected by CCK-8 assay (OD450 nm). *, P \\u003c 0.05; **, P \\u003c 0.01; ***, P \\u003c 0.001; NS, not significant; Unpaired two-tailed Student’s t test. Error bar, mean ± SD, n = 3.\",\"description\":\"\",\"filename\":\"Onlinefloatimage6.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-879741/v1/a79b031cb138fe1075e3e957.png\"},{\"id\":13841229,\"identity\":\"78b07601-991c-47bc-8834-fa98987ee05d\",\"added_by\":\"auto\",\"created_at\":\"2021-09-21 18:13:47\",\"extension\":\"png\",\"order_by\":7,\"title\":\"Figure 7\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":166065,\"visible\":true,\"origin\":\"\",\"legend\":\"ZYS-1 shows potent anti-tumor efficacy and tolerable favorable safety profile in vivo. (A-C) BALB/c mice were implanted subcutaneously with DU-145 cells. When tumors grew about 70-100 mm3, the mice were injected intraperitoneally with either vehicle (n = 8 mice) or ZYS-1 (20 and 40 mg/kg, n = 12 in each group) twice daily for about a month. Tumor volumes were measured every two days (B). After euthanizing mice, tumors were excised followed by photographed (A) and weighted (C). (D) Representative images of H\\u0026E, Ki-67, Tunel and ADAR1 immunohistochemical staining of paraffin section of tumor from mice treated with vehicle, 20 or 40 mg/kg ZYS-1. Scale bar, 100 μm. (E) Quantification of Ki-67 staining positive cells (brown) as a percentage of the total number of cells from three sections of tumor. (F) Quantification of Tunel staining positive cells (green) as a percentage of the total number of cells from three sections of tumor. Nucleus are stained as blue with DAPI. (G) Quantification of ADAR1 staining (brown) intensity from three sections of tumor, as calculated by H-score. (H) Quantification of human IFN-γ concentration in tumor lysate from mice treated with vehicle, 20 or 40 mg/kg ZYS-1 by ELISA. (I and J) Representative flow cytometry plot (I) and quantification (J) of proportion of CD8+ T cells in tumor and spleen from mice treated with vehicle, 20 or 40 mg/kg ZYS-1. *, P \\u003c 0.05; **, P \\u003c 0.01; ***, P \\u003c 0.001; Unpaired two-tailed Student’s t test. Error bar, mean ± SD, n = 3.\",\"description\":\"\",\"filename\":\"Onlinefloatimage7.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-879741/v1/e2276925f48f0338db781807.png\"},{\"id\":15726991,\"identity\":\"a69dd05a-352c-4758-affd-369e5d51b40a\",\"added_by\":\"auto\",\"created_at\":\"2021-11-19 19:10:49\",\"extension\":\"pdf\",\"order_by\":0,\"title\":\"\",\"display\":\"\",\"copyAsset\":false,\"role\":\"manuscript-pdf\",\"size\":3482229,\"visible\":true,\"origin\":\"\",\"legend\":\"\",\"description\":\"\",\"filename\":\"manuscript.pdf\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-879741/v1/e5aa9345-4d01-4c38-98ba-74cdbf19d7e4.pdf\"},{\"id\":13841232,\"identity\":\"79fc1a3a-a845-4450-96d2-32fdaecf0a33\",\"added_by\":\"auto\",\"created_at\":\"2021-09-21 18:13:47\",\"extension\":\"pdf\",\"order_by\":1,\"title\":\"\",\"display\":\"\",\"copyAsset\":false,\"role\":\"supplement\",\"size\":5501274,\"visible\":true,\"origin\":\"\",\"legend\":\"Supplementary Material\",\"description\":\"\",\"filename\":\"SupplementaryMaterial.pdf\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-879741/v1/a71e48c0a6961f4e304c1596.pdf\"},{\"id\":13841330,\"identity\":\"4f55c3f1-0111-4a1b-9f75-469ef4eaa8f9\",\"added_by\":\"auto\",\"created_at\":\"2021-09-21 18:16:46\",\"extension\":\"xlsx\",\"order_by\":2,\"title\":\"\",\"display\":\"\",\"copyAsset\":false,\"role\":\"supplement\",\"size\":22151,\"visible\":true,\"origin\":\"\",\"legend\":\"Supplementary Table S1\",\"description\":\"\",\"filename\":\"TableS1.xlsx\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-879741/v1/6b0a07fd189c67e9b6a739ac.xlsx\"},{\"id\":13841331,\"identity\":\"9587076a-275f-4d07-9a29-d7a7a23a3b02\",\"added_by\":\"auto\",\"created_at\":\"2021-09-21 18:16:46\",\"extension\":\"xlsx\",\"order_by\":3,\"title\":\"\",\"display\":\"\",\"copyAsset\":false,\"role\":\"supplement\",\"size\":16517,\"visible\":true,\"origin\":\"\",\"legend\":\"Supplementary Table S2\",\"description\":\"\",\"filename\":\"TableS2.xlsx\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-879741/v1/a1e9ae8fcaf020175ac467c2.xlsx\"},{\"id\":13841225,\"identity\":\"36f4d74b-edf7-4ad8-b124-6d98a3178f7e\",\"added_by\":\"auto\",\"created_at\":\"2021-09-21 18:13:46\",\"extension\":\"xlsx\",\"order_by\":4,\"title\":\"\",\"display\":\"\",\"copyAsset\":false,\"role\":\"supplement\",\"size\":12202,\"visible\":true,\"origin\":\"\",\"legend\":\"Supplementary Table S3\",\"description\":\"\",\"filename\":\"TableS3.xlsx\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-879741/v1/1b457e9abc36e5f11fa8105f.xlsx\"},{\"id\":13841332,\"identity\":\"1bedad8e-b0cf-4499-97f9-e7c5394299e1\",\"added_by\":\"auto\",\"created_at\":\"2021-09-21 18:16:47\",\"extension\":\"xlsx\",\"order_by\":5,\"title\":\"\",\"display\":\"\",\"copyAsset\":false,\"role\":\"supplement\",\"size\":206100,\"visible\":true,\"origin\":\"\",\"legend\":\"Supplementary Table S4\",\"description\":\"\",\"filename\":\"TableS4.xlsx\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-879741/v1/f58b7cbf513ddcabfb105846.xlsx\"}],\"financialInterests\":\"There is \\u003cb\\u003eNO\\u003c/b\\u003e Competing Interest.\",\"formattedTitle\":\"Targeting ADAR1 with a Novel Small-Molecule for the Treatment of Prostate Cancer\",\"fulltext\":[{\"header\":\"significance\",\"content\":\"\\u003cp\\u003eADAR1-mediated A-to-G editing is essential for PCa initiation and progression. Targeting ADAR1 with drugs is a promising therapeutic strategy. ZYS-1, an inhibitor of ADAR1, with strong anti-tumor efficacy and favorable safety in PCa models, and holds broad therapeutic effects against a wide panel of cancers.\\u003c/p\\u003e\"},{\"header\":\"Introduction\",\"content\":\"\\u003cp\\u003eProstate cancer (PCa) is the most frequently occurring malignancy and the second leading cause of cancer-related mortality among men in western countries (\\u003cspan additionalcitationids=\\\"CR2\\\" citationid=\\\"CR1\\\" class=\\\"CitationRef\\\"\\u003e1\\u003c/span\\u003e\\u0026ndash;\\u003cspan citationid=\\\"CR3\\\" class=\\\"CitationRef\\\"\\u003e3\\u003c/span\\u003e), with an estimated over 1\\u0026nbsp;million new cases and nearly 500,000 deaths expected to occur globally in 2020 (\\u003cspan citationid=\\\"CR2\\\" class=\\\"CitationRef\\\"\\u003e2\\u003c/span\\u003e). Primary PCa patients who are diagnosed with early precursor lesions are known as prostatic intraepithelial neoplasia (PIN), and treatments for these organ-confined PCa include surgery and brachytherapy (\\u003cspan citationid=\\\"CR4\\\" class=\\\"CitationRef\\\"\\u003e4\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR5\\\" class=\\\"CitationRef\\\"\\u003e5\\u003c/span\\u003e). PCa tumor growth is mainly dependent upon sustaining activated androgen receptor (AR) signaling. The backbone of PCa treatments includes androgen-deprivation therapy (ADT) and AR antagonists by blocking androgen production and/or function (\\u003cspan citationid=\\\"CR6\\\" class=\\\"CitationRef\\\"\\u003e6\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR7\\\" class=\\\"CitationRef\\\"\\u003e7\\u003c/span\\u003e). Despite the initial response, most patients eventually relapse to a therapy-resistant stage, which leads to metastatic castration-resistant prostate cancer (mCRPC) that remains incurable at the current time (\\u003cspan citationid=\\\"CR7\\\" class=\\\"CitationRef\\\"\\u003e7\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR8\\\" class=\\\"CitationRef\\\"\\u003e8\\u003c/span\\u003e). In addition to the sustained role of AR, there has been an urgent need to identify specific and novel drug targets. As such, the global understanding of the intricate mechanisms involved in these oncogenic processes is of critical importance for the development of novel therapeutic strategies (\\u003cspan additionalcitationids=\\\"CR10\\\" citationid=\\\"CR9\\\" class=\\\"CitationRef\\\"\\u003e9\\u003c/span\\u003e\\u0026ndash;\\u003cspan citationid=\\\"CR11\\\" class=\\\"CitationRef\\\"\\u003e11\\u003c/span\\u003e).\\u003c/p\\u003e \\u003cp\\u003eGene mutations are important in cancer onset and aggressiveness as well as in the generation of tumor heterogeneity. Besides alterations at the DNA level, RNA-based abnormalities have been emerging as important players in cancer pathogenesis (\\u003cspan citationid=\\\"CR12\\\" class=\\\"CitationRef\\\"\\u003e12\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR13\\\" class=\\\"CitationRef\\\"\\u003e13\\u003c/span\\u003e). RNA editing is a common form of epitranscriptomic mechanism that modifies the sequence of RNA transcripts without a concomitant change in its genomic blueprints (\\u003cspan citationid=\\\"CR12\\\" class=\\\"CitationRef\\\"\\u003e12\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR14\\\" class=\\\"CitationRef\\\"\\u003e14\\u003c/span\\u003e). High-throughput genome-wide studies suggest that editing occurs in more than 85% of human RNA noncoding and/or coding regions (\\u003cspan citationid=\\\"CR15\\\" class=\\\"CitationRef\\\"\\u003e15\\u003c/span\\u003e). As for physiological consequences, RNA editing events may lead to expanding diversity in gene products and gene regulatory mechanisms by non-synonymous amino acid mutations, alternative RNA splicing, or modification of targeted RNAs (\\u003cspan citationid=\\\"CR16\\\" class=\\\"CitationRef\\\"\\u003e16\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR17\\\" class=\\\"CitationRef\\\"\\u003e17\\u003c/span\\u003e), thereby altering their stability, translational efficiency, and degradation (\\u003cspan citationid=\\\"CR18\\\" class=\\\"CitationRef\\\"\\u003e18\\u003c/span\\u003e). In humans, deamination of adenosine-to-inosine (A-to-I) within double-stranded RNA (dsRNA), mediated by adenosine deaminases acting on RNA (ADAR) family enzymes, is considered the most frequent type of RNA editing that impacts the benefit of cancer progress (\\u003cspan citationid=\\\"CR15\\\" class=\\\"CitationRef\\\"\\u003e15\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR19\\\" class=\\\"CitationRef\\\"\\u003e19\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR20\\\" class=\\\"CitationRef\\\"\\u003e20\\u003c/span\\u003e). Since inosine (I) is recognized as guanosine (G) by the translational machinery, this process may result in recoding transcripts and thus plays a vital role in cancer initiation and aggressiveness (\\u003cspan citationid=\\\"CR21\\\" class=\\\"CitationRef\\\"\\u003e21\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR22\\\" class=\\\"CitationRef\\\"\\u003e22\\u003c/span\\u003e). Three \\u003cem\\u003eADAR\\u003c/em\\u003e genes are encoded in mammalian cells, ADAR1 and ADAR2 are the two catalytically active enzymes, whereas ADAR3 is enzymatically inactive (\\u003cspan citationid=\\\"CR23\\\" class=\\\"CitationRef\\\"\\u003e23\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR24\\\" class=\\\"CitationRef\\\"\\u003e24\\u003c/span\\u003e).\\u003c/p\\u003e \\u003cp\\u003eThe first cloned and discovered A-to-I dsRNA deaminase was ADAR1, which resides at chromosome 1q21, a region that is frequently amplified in cancer. There are two isoforms of ADAR1, the constitutively expressed N-truncated-p110 is mainly localized to the nucleus, where the interferon (IFN)-inducible full length-p150 is mainly cytoplasmic (\\u003cspan citationid=\\\"CR25\\\" class=\\\"CitationRef\\\"\\u003e25\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR26\\\" class=\\\"CitationRef\\\"\\u003e26\\u003c/span\\u003e). Increasing pieces of evidence have revealed a close association between majority RNA-editing events and elevated ADAR1 expression in various malignancies, thereby promoting tumorigenesis, therapeutic resistance and poor survival (\\u003cspan citationid=\\\"CR27\\\" class=\\\"CitationRef\\\"\\u003e27\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR28\\\" class=\\\"CitationRef\\\"\\u003e28\\u003c/span\\u003e). Crucially, several articles have reported higher RNA editing levels in prostate cancer (\\u003cspan additionalcitationids=\\\"CR30\\\" citationid=\\\"CR29\\\" class=\\\"CitationRef\\\"\\u003e29\\u003c/span\\u003e\\u0026ndash;\\u003cspan citationid=\\\"CR31\\\" class=\\\"CitationRef\\\"\\u003e31\\u003c/span\\u003e). \\u003cem\\u003eIn silico\\u003c/em\\u003e analyses demonstrated that AR transcripts within more RNA editing events in PCa cell lines, meanwhile these cells also expressed high levels of ADAR1 (\\u003cspan citationid=\\\"CR32\\\" class=\\\"CitationRef\\\"\\u003e32\\u003c/span\\u003e). In addition, a recent study has suggested that elevated ADAR1 expression causes aberrant editing of the dominant-negative oncogene prostate cancer antigen 3 (PCA3) to the pathogenesis of PCa, whereby higher A-to-I editing of lncRNA PCA3 could upregulate expression of itself, and then downregulates the antisense tumor suppressor gene prune homolog 2 (PRUNE2) level, thereby, promoting PCa cell growth and metastasis (\\u003cspan citationid=\\\"CR33\\\" class=\\\"CitationRef\\\"\\u003e33\\u003c/span\\u003e). Despite PCA3 is a novel target of ADAR1, the significance of ADAR1 and the landscape of RNA-edited targets in PCa remain unanswered. Therefore, further identification of these aberrant targeted transcripts and investigation of the regulatory mechanisms can better enhance our understanding of PCa carcinogenesis.\\u003c/p\\u003e \\u003cp\\u003eIt has been reported that loss of ADAR1 compromises tumor growth and metastasis in many cancer types (\\u003cspan citationid=\\\"CR27\\\" class=\\\"CitationRef\\\"\\u003e27\\u003c/span\\u003e). More importantly, emerging studies have shown that inhibition of ADAR1 in tumors not only potentiates the efficacy of epigenetic therapy, but also sensitizes tumors to immunotherapy and overcomes resistance to immune checkpoint blockade, which is beneficial for cancer therapy (\\u003cspan additionalcitationids=\\\"CR35\\\" citationid=\\\"CR34\\\" class=\\\"CitationRef\\\"\\u003e34\\u003c/span\\u003e\\u0026ndash;\\u003cspan citationid=\\\"CR36\\\" class=\\\"CitationRef\\\"\\u003e36\\u003c/span\\u003e). Taken together, these studies suggest that ADAR1 maybe a new potential PCa therapeutic target, and exploitation of innovative targeted therapeutics against ADAR1 is warranted. Although to date, 8-azaadenosine (8-aza) has been considered as a potential ADAR1 inhibitor (\\u003cspan citationid=\\\"CR37\\\" class=\\\"CitationRef\\\"\\u003e37\\u003c/span\\u003e), there was not yet strong evidence suggesting its direct binding and inhibition with ADAR1 protein, and simultaneously, the action mode and therapeutic activity have not been adequately evaluated. Thus, there is still an urgent need to discover druggable inhibitors against ADAR1 to treat PCa and other cancers.\\u003c/p\\u003e \\u003cp\\u003eHerein, we carried out detailed investigation into RNA editing in PCa and the first identification of landscape of A-to-G RNA edited targets through systematic assays. Our results demonstrated that ADAR1 but not ADAR2 is abundantly expressed in prostate cancer compared with adjacent non-tumor tissues and associated with poor clinical outcomes. Furthermore, ADAR1 depletion inhibited PCa cells growth and metastasis \\u003cem\\u003ein vitro\\u003c/em\\u003e, whereas overexpression had the opposite effects. Most importantly, loss of ADAR1 increased abundance of IFN-γ and CD8\\u003csup\\u003e+\\u003c/sup\\u003e T cells infiltration \\u003cem\\u003ein vivo\\u003c/em\\u003e. In addition, we identified metadherin (MTDH) as a crucial edited target of ADAR1 in PCa and provided a new insight that this RNA epitranscriptomic modification regulates MTDH protein levels through the translation modulation mechanism, which relied on the catalytic function of ADAR1. Rescue results showed that ADAR1/MTDH axis mediates tumor initiation and aggressiveness, which indicated the existence of a new pro-tumorigenesis pathway in PCa. To this end, using a series of structure-based virtual screening and validation assays, we further developed a novel small-molecule ADAR1 inhibitor, ZYS-1, which directly bind to ADAR1 and inhibit its deaminase activity with an IC\\u003csub\\u003e50\\u003c/sub\\u003e of 0.866 \\u0026micro;M. Consistent with ADAR1 knockdown, ZYS-1 not only strongly inhibited PCa cells proliferation and metastasis \\u003cem\\u003ein vitro\\u003c/em\\u003e, but also dramatically suppressed tumor growth in mice with favorable safety profiles, and enhanced anti-tumor immunity, hopefully holding synergetic efficacy combining with immunotherapy. Collectively, our study suggests profound therapeutic effects and novel mechanism insights of targeting ADAR1 in PCa therapy, highlighting ADAR1 as a novel druggable target with broad potential for cancer therapy.\\u003c/p\\u003e\"},{\"header\":\"Results\",\"content\":\"\\u003cdiv class=\\\"Section2\\\" id=\\\"Sec3\\\"\\u003e\\n \\u003ch2\\u003eHighly expressed ADAR1 is a favorable prognostic marker in prostate cancer\\u003c/h2\\u003e\\n \\u003cp\\u003eSince the involvement and role of ADAR1 in prostate cancer have not been dissected systematically, we first queried whether the expression of ADAR1 is high and associated with A-to-G editing level in PCa patients. We collected three pairs of matched tumor and normal tissues and performed RNA-sequencing to acquire their global RNA editing profile. There were 1949 genes with A-to-G editing frequency difference\\u0026thinsp;\\u0026gt;\\u0026thinsp;0 (Tumor vs Normal group, labeled in red), and 1543 genes with difference\\u0026thinsp;\\u0026lt;\\u0026thinsp;0 (labeled in blue) (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e1\\u003c/span\\u003eA; Supplementary Table S4). ADAR1 expression level was significantly higher in tumor (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e1\\u003c/span\\u003eI; Supplementary Fig. S1D), while ADAR2 expression was low compared to ADAR1 (data not shown) and was in a promiscuous pattern between tumor and normal tissues (Supplementary Fig. S1F). We next selected 16 patients from a previous reported TCGA PCa patients cohort (n\\u0026thinsp;=\\u0026thinsp;31; ref. 30) according to their A-to-G editing level higher in tumor other than normal tissue (Supplementary Fig. S1A). This increase appears to be caused by higher \\u003cem\\u003eADAR1\\u003c/em\\u003e expression in tumor rather than \\u003cem\\u003eADAR2\\u003c/em\\u003e (Supplementary Fig. S1B and S1C). Higher \\u003cem\\u003eADAR1\\u003c/em\\u003e expression in PCa was again found in another TCGA cohort (n\\u0026thinsp;=\\u0026thinsp;51; Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e1\\u003c/span\\u003eB). Interestingly, aged, high-risk and high Gleason grade patients had a higher \\u003cem\\u003eADAR1\\u003c/em\\u003e expression signature, which indicated worse clinical prognosis in patients with higher \\u003cem\\u003eADAR1\\u003c/em\\u003e expression (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e1\\u003c/span\\u003eC-E). Notably, these patients\\u0026rsquo; relapse-free survival (RFS) was significantly worse than those with low expression (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e1\\u003c/span\\u003eF). Consistently, a tissue microarray from 38 PCa patients staining with ADAR1 antibody showed that ADAR1 protein intensity score in tumor was significantly (\\u003cem\\u003eP\\u003c/em\\u003e\\u0026thinsp;=\\u0026thinsp;0.004) higher than in adjacent normal tissue (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e1\\u003c/span\\u003eG and H), and ADAR1 intensity score was apparently stronger in high Gleason grade patients (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e1\\u003c/span\\u003eG, bottom). Furthermore, five prostate cancer cell lines were all detected to have a high level of ADAR1 protein (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e1\\u003c/span\\u003eJ; Supplementary S1E). Previous study has indicated loss of ADAR1 regulates tumor microenvironment (TME) and enhances immune inflammation through a MDA5/MAVS-dependent manner, as evidenced by increase of immune cells and decrease of myeloid-derived suppressor cells (MDSCs) (\\u003cspan class=\\\"CitationRef\\\"\\u003e36\\u003c/span\\u003e). We used TIMER2.0 web tool to analyze correlation of ADAR1 and tumor immune infiltrating profile, and confirmed negative correlation with CD4\\u003csup\\u003e+\\u003c/sup\\u003e T cells, CD8\\u003csup\\u003e+\\u003c/sup\\u003e cells, M1 macrophages, and NK cells, and positive correlation with cancer-associated fibroblast (CAFs), endothelial cells and inhibitory immune cells M2 macrophage (Supplementary Fig. S1G). Collectively, these evidences suggest ADAR1 is aberrantly overexpressed in PCa tumors and associated with poor clinical outcomes.\\u003c/p\\u003e\\n \\u003ch2\\u003e\\u003cstrong\\u003eDepletion of ADAR1 inhibits tumor cells growth\\u003c/strong\\u003e \\u003cspan class=\\\"BoldItalic\\\" name=\\\"Emphasis\\\" type=\\\"BoldItalic\\\"\\u003ein vitro\\u003c/span\\u003e \\u003cstrong\\u003eand\\u003c/strong\\u003e \\u003cspan class=\\\"BoldItalic\\\" name=\\\"Emphasis\\\" type=\\\"BoldItalic\\\"\\u003ein vivo\\u003c/span\\u003e\\u003c/h2\\u003e\\n \\u003cp\\u003eTo assess the effect of depletion of ADAR1 on PCa cells, we generated stable ADAR1-knockdown cells (shADAR1) and negative control cells (shNC) in DU-145 and VCaP cells using lentivirus-packaged short-hairpin RNA (shRNA). ADAR1 protein level was greatly decreased in knockdown cells relative to control without affecting ADAR2 (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e2\\u003c/span\\u003eA; Supplementary Fig. S2A and S2B). A marked decrease of A-to-G editing level upon ADAR1 loss was observed in a known ADAR1 editing target \\u003cem\\u003eGLI1\\u003c/em\\u003e (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e2\\u003c/span\\u003eB; ref. 38). Consistent with previous studies in other tumors (\\u003cspan class=\\\"CitationRef\\\"\\u003e13\\u003c/span\\u003e, \\u003cspan class=\\\"CitationRef\\\"\\u003e39\\u003c/span\\u003e\\u0026ndash;\\u003cspan class=\\\"CitationRef\\\"\\u003e41\\u003c/span\\u003e), depletion of ADAR1 significantly inhibited PCa cell proliferation, migration, and invasion \\u003cem\\u003ein vitro\\u003c/em\\u003e (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e2\\u003c/span\\u003eC and I; Supplementary Fig. S2C). Via flow cytometry, we observed ADAR1 knockdown results in cell cycle arrest at G0/G1 phase and increased apoptosis (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e2\\u003c/span\\u003eG and H). Next, to determine whether ADAR1 knockdown compromises tumor growth \\u003cem\\u003ein vivo\\u003c/em\\u003e, we inoculated subcutaneously DU-145 shADAR1 and shNC cells into mice. Surprisingly, only one mouse grew little tumor while others (5/6) did not grow visible tumors, suggesting ADAR1 loss did abrogate tumor growth (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e2\\u003c/span\\u003eJ-L; Supplementary Fig S2D). Next, we overexpressed empty vector (EV), Flag-tagged ADAR1-wild type (ADAR1-WT), and catalytically inactive ADAR1 E912A mutant (ADAR1-Mut) in DU-145 cell (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e2\\u003c/span\\u003eD). A large increase in editing level of \\u003cem\\u003eGLI1\\u003c/em\\u003e was found in ADAR1-WT cells relative to EV while ADAR1-Mut did not (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e2\\u003c/span\\u003eE). Cell proliferation assay showed a higher growth rate of WT cells and comparable proliferative profile between Mut and EV cells, which demonstrated ADAR1\\u0026rsquo;s pro-proliferation ability is deaminase activity-dependent (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e2\\u003c/span\\u003eF). These findings clearly implicate that loss of ADAR1 inhibits PCa tumor cell growth \\u003cem\\u003ein vitro\\u003c/em\\u003e and \\u003cem\\u003ein vivo\\u003c/em\\u003e via cell cycle arrest and apoptosis.\\u003c/p\\u003e\\n\\u003c/div\\u003e\\n\\u003cdiv class=\\\"Section2\\\" id=\\\"Sec4\\\"\\u003e\\n \\u003ch2\\u003eDepletion of ADAR1 significantly modulates transcriptional activity involved in tumor survival\\u003c/h2\\u003e\\n \\u003cp\\u003eTo comprehensively understand the signaling modulation of ADAR1, we performed whole transcriptome sequencing (RNA-seq) on DU-145 shADAR1 and shNC cells with good concordance between two biological replicates (Supplementary Fig. S3A). After ADAR1 knockdown, 139 and 48 genes were upregulated and downregulated, respectively, such as \\u003cem\\u003eADAR\\u003c/em\\u003e, \\u003cem\\u003eCDK6\\u003c/em\\u003e, and \\u003cem\\u003eCDH1\\u003c/em\\u003e, as shown in volcano plot and heat map (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e3\\u003c/span\\u003eA; Supplementary Fig. S3B). In accordance with cell proliferation arrest phenotype observed in ADAR1 loss, gene set enrichment analysis (GSEA) using the Hallmarks gene set from the Molecular Signatures Database (MSigDB) showed substantial suppression of cell proliferation and cell-cycle related pathways, such as MYC targets, G2M checkpoint, and E2F targets (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e3\\u003c/span\\u003eB). In addition, ADAR1 loss increased gene enrichment in P53 and apoptosis pathway, though not significant (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e3\\u003c/span\\u003eD). It is worth noting that cell adhesion molecules (CAMs) pathway in KEGG (Kyoto Encyclopedia of Genes and Genomes) was dramatically upregulated (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e3\\u003c/span\\u003eC), which may be attributed to suppressed epithelial-mesenchymal transition (EMT) signaling as evidenced by increased expression of epithelial marker (E-cadherin) and decreased expression of mesenchymal markers (N-cadherin) (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e3\\u003c/span\\u003eF). We further confirmed reduced expression of cell proliferation and cell cycle-regulated protein CDK6 and c-MYC, and increased P53 protein and cleaved PARP upon ADAR1 KD (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e3\\u003c/span\\u003eE and F). As an RNA editing enzyme, ADAR1 is responsible for avoiding hyper-activated IFN-I responses induced by endogenous dsRNA. Consistent with this, IFN-\\u0026alpha; response, IFN-\\u0026gamma; response, and TNF\\u0026alpha; signaling via NF-\\u0026kappa;B pathways were found to be positively enriched in shADAR1 group, which could be attributed to elevated expression of IFN-stimulated genes (ISGs) (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e3\\u003c/span\\u003eC). We then used enzyme-linked immunosorbent assay (ELISA) to detect IFN-\\u0026gamma; content in peripheral blood in shADAR1 and shNC xenograft mice since shADAR1 mice barely grew tumors. As expected, IFN-\\u0026gamma; in PB of shADAR1 mice showed an approximate 2-fold increase relative to shNC mice (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e3\\u003c/span\\u003eG). To assess immune infiltration, we performed flow cytometry to determine the abundance of cytotoxicity CD8\\u003csup\\u003e+\\u003c/sup\\u003e T cells. In line with above bioinformatics results (Supplementary Fig. S1G), CD8\\u003csup\\u003e+\\u003c/sup\\u003e T cells in shADAR1 mice spleen were significantly more than shNC (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e3\\u003c/span\\u003eH; Supplementary Fig. S3C). All these results show the critical roles of ADAR1 in regulating signaling involved in tumor cell proliferation, apoptosis, immune response, and metastasis.\\u003c/p\\u003e\\n \\u003ch2\\u003e\\u003cstrong\\u003eCharacterize\\u003c/strong\\u003e \\u003cspan class=\\\"BoldItalic\\\" name=\\\"Emphasis\\\" type=\\\"BoldItalic\\\"\\u003eMTDH\\u003c/span\\u003e \\u003cstrong\\u003eas a novel target of ADAR1 governing PCa carcinogenesis and metastasis\\u003c/strong\\u003e\\u003c/h2\\u003e\\n \\u003cp\\u003eSubsequently, to investigate the mechanism of signaling modulation of ADAR1, we identified the direct targets of ADAR1 in PCa through multi-omics sequencing. In our RNA-seq data, a large decline of A-to-G editing events occurred in shADAR1 cells (Supplementary Fig. S4A), and these editing sites were mainly enriched in intron and 3\\u0026prime; UTR (Supplementary Fig. S4B). To acquire ADAR1 bound transcripts, we performed RNA-immunoprecipitation sequencing (RIP-seq) using an ADAR1 antibody (Supplementary Fig. S5C). In all bound approximate 2000 RNA peaks, introns and exons account for 49.72% and 27.34% of peak region, respectively (Supplementary Fig. S4D). In addition, based on our RNA-seq data, we screened A-to-G editing frequency difference of more than 0.1 between shNC and shADAR1 group (shNC - shADAR1\\u0026thinsp;\\u0026gt;\\u0026thinsp;0.1) to acquire 487 genes (Supplementary Fig. S4C). Subsequently, according to 487 editing genes, all bound 1993 peaks, and total genes (expression count\\u0026thinsp;\\u0026gt;\\u0026thinsp;200), we obtained 114 potential targets of ADAR1 (listed in Supplementary Table S3), as shown in the Venn diagram (Supplementary Fig. S4E). GO and KEGG analysis showed that these 114 genes were mainly enriched in processes such as translation, viral process, cell cycle, ribosome, and apoptosis (Supplementary Fig. S5A and S5B). Based on their functions in literature, we further selected 28 genes and validated their bindings with ADAR1 using qPCR assay (Supplementary Fig. S4F). We found numbers of targets were positively accumulated in ADAR1 relative to lgG, such as \\u003cem\\u003eMTDH\\u003c/em\\u003e, \\u003cem\\u003eEIF2AK2\\u003c/em\\u003e, and \\u003cem\\u003eIFNAR1\\u003c/em\\u003e (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e4\\u003c/span\\u003eA; Supplementary Fig. S5D). Sanger sequencing was performed to validate editing sites indicated in RNA-seq data. \\u003cem\\u003eRBBP4\\u003c/em\\u003e, \\u003cem\\u003eEIF2AK2\\u003c/em\\u003e, \\u003cem\\u003eDFFA\\u003c/em\\u003e, \\u003cem\\u003eIFNAR1\\u003c/em\\u003e, and \\u003cem\\u003eMTDH\\u003c/em\\u003e were confirmed with a decline of editing levels upon ADAR1 loss (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e4\\u003c/span\\u003eB; Supplementary Fig. S5E).\\u003c/p\\u003e\\n \\u003cp\\u003eTo investigate the crucial targets governing tumor survival in PCa, we firstly examined their correlations with ADAR1. Bioinformatics analysis data suggested that \\u003cem\\u003eADAR1\\u003c/em\\u003e and \\u003cem\\u003eMTDH\\u003c/em\\u003e have a strong positive correlation in PCa (Supplementary Fig. S6D). Our RNA-seq data also showed a large decline editing levels of \\u003cem\\u003eMTDH\\u003c/em\\u003e in normal PCa tissues compared to tumors (Supplementary Table S4). Previous studies demonstrated that MTDH is an oncogenic protein associated with tumors growth and metastasis via modulation of cell cycle arrest, apoptosis, and EMT signaling, furthermore, MTDH loss also inducing cytotoxic T cell infiltration in colorectal and lung cancers (\\u003cspan class=\\\"CitationRef\\\"\\u003e42\\u003c/span\\u003e, \\u003cspan class=\\\"CitationRef\\\"\\u003e43\\u003c/span\\u003e). These phenotypes are consistent with ADAR1 loss in PCa. Therefore, we speculated that MTDH might be the downstream target of ADAR1 in promoting PCa cell growth and metastasis. Firstly, RIP-qPCR and Sanger sequencing assay had confirmed that \\u003cem\\u003eMTDH\\u003c/em\\u003e is a direct editing target of ADAR1 (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e4\\u003c/span\\u003eA and B). Then we decided to elucidate the mechanism through which ADAR1 interacts and regulates \\u003cem\\u003eMTDH\\u003c/em\\u003e. We examined expression of \\u003cem\\u003eMTDH\\u003c/em\\u003e in RNA-seq data which did not show any difference between shNC and shADAR1 groups and confirmed using qPCR (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e4\\u003c/span\\u003eC). However, the protein level of MTDH showed a pronounced reduction upon ADAR1 knockdown (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e4\\u003c/span\\u003eC). Then, we overexpressed ADAR1-WT and -Mutant in shADAR1 cells, and found that wild-type ADAR1 could completely rescue MTDH protein level and cell viability while mutant-type could not even partially, demonstrating maintenance of MTDH protein is dependent on ADAR1\\u0026rsquo;s deaminase activity, which is also essential for cancer cells survival (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e4\\u003c/span\\u003eD and E). Next, we decided to dissect why MTDH would dramatically reduce upon ADAR1 knockdown. Unexpectedly, knockdown of ADAR1 did not alter \\u003cem\\u003eMTDH\\u003c/em\\u003e mRNA stability after transcription was inhibited by actinomycin D treatment (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e4\\u003c/span\\u003eF). Therefore, we questioned whether ADAR1 would affect accumulation of \\u003cem\\u003eMTDH\\u003c/em\\u003e mRNA in ribosome machinery. We conducted ribosome immunoprecipitation assay using anti-RPL22 (constituent of 60S ribosome protein) antibody, and results showed that \\u003cem\\u003eMTDH\\u003c/em\\u003e mRNA enrichment significantly decreases in ribosome machinery upon ADAR1 knockdown (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e4\\u003c/span\\u003eG and H). We speculated less degree of editing in 3\\u0026prime; UTR of \\u003cem\\u003eMTDH\\u003c/em\\u003e mRNA resulted in reduced ribosome occupancy. ADAR1 editing of endogenous RNA plays a role in preventing PKR activation, which allows PKR-eIF2\\u0026alpha; axis downregulating translation during IFN response (\\u003cspan class=\\\"CitationRef\\\"\\u003e44\\u003c/span\\u003e). Moreover, we observed PKR and eIF2\\u0026alpha; activation following ADAR1 knockdown in DU-145 cell line, consistent with previous studies (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e4\\u003c/span\\u003eI; ref. 44\\u0026ndash;46). This may be one reason for reduction of MTDH translation upon ADAR1 knockdown. We then overexpressed MTDH in ADAR1 knockdown cells and found MTDH could rescue compromised proliferation and invasion phenotype induced by ADAR1 loss (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e4\\u003c/span\\u003eJ-L), which demonstrated that suppressed proliferation and invasion upon ADAR1 loss in PCs is MTDH-dependent.\\u003c/p\\u003e\\n \\u003cp\\u003eFinally, we were interested in clinical significance of MTDH in prostate cancer. Above mentioned three pairs of PCa tissues were subjected to Sanger sequencing and WB analysis to evaluate editing level and protein level of MTDH, respectively. We observed elevated editing level of MTDH in tumors relative to normal tissues (Supplementary Fig. S6A). Expression of MTDH was also significantly higher in tumors in both protein and mRNA levels (Supplementary Fig. S6B and S6C). Collectively, these findings demonstrate MTDH as a novel and critical downstream target of ADAR1 is responsible for cell proliferation and invasion, and may be a clinical biomarker for prostate cancer.\\u003c/p\\u003e\\n\\u003c/div\\u003e\\n\\u003cdiv class=\\\"Section2\\\" id=\\\"Sec5\\\"\\u003e\\n \\u003ch2\\u003eDiscover a novel and potent small molecule inhibitor of ADAR1\\u003c/h2\\u003e\\n \\u003cp\\u003eThough others have reported 8-aza as a potential inhibitor of ADAR1, there has not yet been strong evidence suggesting its direct binding and inhibition with ADAR1 protein. 8-aza has been reported to slightly inhibit ADAR2 deaminase activity with an IC\\u003csub\\u003e50\\u003c/sub\\u003e of 15 mM, and has only obscure evidence to show ADAR1 inhibition (\\u003cspan class=\\\"CitationRef\\\"\\u003e37\\u003c/span\\u003e, \\u003cspan class=\\\"CitationRef\\\"\\u003e47\\u003c/span\\u003e).\\u003c/p\\u003e\\n \\u003cp\\u003eTo discover potential ADAR1 inhibitors, a structure-based virtual screening was conducted by LibDock and CDOCKER of Discovery Studio 2021 (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e5\\u003c/span\\u003eA). According to a recent study of ADAR1 protein structure (48), homology modeling of ADAR1 was applied to this procedure and the pocket was defined as a catalytic pocket. Through two rounds of screening of SPECS and in-house libraries, we obtained the hit compound 8-bromoadenosine (8-Br-Ado, Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e5\\u003c/span\\u003eA), which has moderate inhibitory activity against ADAR1 with IC\\u003csub\\u003e50\\u003c/sub\\u003e\\u0026thinsp;\\u0026gt;\\u0026thinsp;20 \\u0026micro;M (Supplementary Fig. S7B), and moderate cytotoxicity against DU-145 cell with an IC\\u003csub\\u003e50\\u003c/sub\\u003e of 41.83 \\u0026micro;M (Supplementary Fig. S7C). Binding mode showed 8-Br-Ado formed favorable hydrogen bonds with crucial residues in ADAR1 (Supplementary Fig. S7A).\\u003c/p\\u003e\\n \\u003cp\\u003eTaking 8-Br-Ado as the lead compound, we designed and synthesized a series of derivatives for further structural optimization. A newly synthesized compound ZYS-1 (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e5\\u003c/span\\u003eA) showed strong inhibitory activity against ADAR1 deaminase with an IC\\u003csub\\u003e50\\u003c/sub\\u003e of 0.866 \\u0026micro;M (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e5\\u003c/span\\u003eD) and profound anti-proliferation activities against multiple PCa cell lines with IC\\u003csub\\u003e50\\u003c/sub\\u003e within submicromolar magnitude, though, with several-folds higher IC\\u003csub\\u003e50\\u003c/sub\\u003e values against RWPE1 (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e5\\u003c/span\\u003eC; Supplementary Fig. S7D). Docking analysis suggested that in addition to hydrogen bonds with crucial residues, some extra weak interactions were formed between ZYS-1 and ADAR1 catalytic pocket, possibly helping better binding affinity (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e5\\u003c/span\\u003eB). To detect direct binding of ZYS-1 to ADAR1 protein, we performed microscale thermophoresis assay (MST) and confirmed their interaction with a \\u003cem\\u003eK\\u003c/em\\u003e\\u003csub\\u003eD\\u003c/sub\\u003e value of 7.24\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;2.88 \\u0026micro;M (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e5\\u003c/span\\u003eF). Moreover, cellular thermal shift assay (CETSA) validated that ZYS-1 interacted with ADAR1 protein in cellular conditions (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e5\\u003c/span\\u003eE). Next, we assessed the direct inhibitory function of ZYS-1 on ADAR1 in PCa cells. A comparable cell proliferation profile was observed in shADAR1 and 50 nM treated cells (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e5\\u003c/span\\u003eG). We simultaneously treated shNC and shADAR1 cells with or without ZYS-1, and the difference of proliferation ratio (treated/untreated) started to show after 24 h and was more aggravated after 48 h (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e5\\u003c/span\\u003eH). Furthermore, ADAR1 loss resulted in a about 2-fold increase of IC\\u003csub\\u003e50\\u003c/sub\\u003e value of ZYS-1 in DU-145 cell (Supplementary Fig. S7E), meanwhile, forced expression of ADAR1 significantly attenuated growth inhibition by ZYS-1 (Supplementary Fig. S7F). As expected, ZYS-1 dose-dependently decreased editing level of \\u003cem\\u003eGLI1\\u003c/em\\u003e in DU-145 and VCaP cells (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e5\\u003c/span\\u003eI). This dose-dependent decrease was also confirmed using RNA-editing site specific quantitative PCR (RESSqPCR) (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e5\\u003c/span\\u003eJ; ref. 49). Both results demonstrate ZYS-1 inhibits catalytic activity of ADAR1 in cells. Taken together, these results indicate ZYS-1 directly binds to ADAR1 and inhibits its catalytic function.\\u003c/p\\u003e\\n\\u003c/div\\u003e\\n\\u003cdiv class=\\\"Section2\\\" id=\\\"Sec6\\\"\\u003e\\n \\u003ch2\\u003eZYS-1 strongly suppresses PCa cell growth and invasion via ADAR1 inhibition\\u003c/h2\\u003e\\n \\u003cp\\u003eConsistent with the effect of ADAR1 knockdown, ZYS-1 not only inhibited cell proliferation (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e5\\u003c/span\\u003eC and G), but also inhibited cell colony formation ability, and induced cell cycle arrest at G0/G1 phase and substantial apoptosis in a dose-dependent manner (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e6\\u003c/span\\u003eA-C; Supplementary Fig. S8A). In addition, ZYS-1 significantly impaired DU-145 cell migration and invasion ability (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e6\\u003c/span\\u003eD). Interestingly, we further found that ZYS-1 could reduce ADAR1 protein levels in DU-145 and VCaP cells, while did not alter \\u003cem\\u003eADAR1\\u003c/em\\u003e mRNA levels (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e6\\u003c/span\\u003eE). These data suggest that ADAR1 protein degradation induced by ZYS-1 is in a post-transcriptional manner. However, ADAR1 degradation induced by ZYS-1 was independent of proteasome degradation (Supplementary Fig. S8C and S8D). Precise mechanism needs further investigation. Moreover, selectivity over ADAR2 was noteworthy as ZYS-1 did not change ADAR2 protein level (Supplementary Fig. S8B). Furthermore, ZYS-1 recapitulated signaling modulation of ADAR1 KD on E-cadherin, N-cadherin, P53, cleaved PARP, CDK6, and c-MYC protein in DU-145 and VCaP cells (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e6\\u003c/span\\u003eF). We then evaluated effect of ADAR1 inhibition by ZYS-1 on MTDH. As expected, ZYS-1 dose-dependently reduced MTDH protein level but not changed its mRNA level, possibly via activation of PKR following targeting ADAR1 (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e6\\u003c/span\\u003eG; Supplementary Fig. S8F). Furthermore, in line with ADAR1 KD, \\u003cem\\u003eMTDH\\u003c/em\\u003e editing level was decreased following ZYS-1 treatment (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e6\\u003c/span\\u003eH). \\u003cem\\u003eIFNAR1\\u003c/em\\u003e, another potential target of ADAR1, was also observed a decrease in editing level (Supplementary Fig. S8G). Notably, forced expression of MTDH moderately rescued cell viability inhibited by ZYS-1 (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e6\\u003c/span\\u003eI). Collectively, these results demonstrate that ZYS-1 suppresses tumor cell survival and invasion through ADAR1 inhibition.\\u003c/p\\u003e\\n \\u003ch2\\u003e\\u003cstrong\\u003eZYS-1 displays significant anti-tumor efficacy and favorable safety profile\\u003c/strong\\u003e \\u003cspan class=\\\"BoldItalic\\\" name=\\\"Emphasis\\\" type=\\\"BoldItalic\\\"\\u003ein vivo\\u003c/span\\u003e\\u003c/h2\\u003e\\n \\u003cp\\u003eAs ZYS-1 exhibits a well anti-tumor effect \\u003cem\\u003ein vitro\\u003c/em\\u003e, we then assessed the therapeutic effects of ZYS-1 \\u003cem\\u003ein vivo\\u003c/em\\u003e using a DU-145-derived xenotransplantation mice model. Intraperitoneal administration of low dose (20 mg/kg/day) and high dose (40 mg/kg/day) of ZYS-1 significantly suppressed tumor growth relative to vehicle group in a dose-dependent manner, with tumor growth inhibition (TGI) rate achieving 66.68% and 81.83%, respectively (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e7\\u003c/span\\u003eA-C). Especially, tumor growth almost stagnated after treatment for 20 days. Meanwhile, no differences in body weight or behavior (data not shown) were observed between dosing and control group (Supplementary Fig. S10A). Also, H\\u0026amp;E staining of key organs of dosed mice did not exhibit apparent necrosis or inflammation (Supplementary Fig. S10B). Both results prove ZYS-1 is well tolerated and safe \\u003cem\\u003ein vivo\\u003c/em\\u003e even after continuous administration. Next, H\\u0026amp;E, Ki-67, and tunel staining were performed to evaluate tumor proliferation and apoptosis. Necrosis area of dosing group tumor was markedly larger as shown in H\\u0026amp;E staining (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e7\\u003c/span\\u003eD). Proliferation level of tumor cells was lower after ZYS-1 treatment as indicated by Ki-67 staining (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e7\\u003c/span\\u003eD and E). Tunel staining was utilized to determine apoptosis and suggested ZYS-1 induced tumor cell apoptosis in a dose-dependent manner (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e7\\u003c/span\\u003eD and F). We also performed immunohistochemical staining of ADAR1 and showed ZYS-1 decreased ADAR1 protein level dose-dependently in tumor, recapitulating the effects \\u003cem\\u003ein vitro\\u003c/em\\u003e (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e7\\u003c/span\\u003eD and G). Also, apoptosis-, cell cycle-, and EMT-associated protein level changes had a comparable tendency in tumors upon ZYS-1 treatment (Supplementary Fig. S10D). Subsequently, we assessed the acute toxicity of ZYS-1 in mice by treatment with various doses of ZYS-1 via intraperitoneal or oral administration. Lethal dose 50% (LD\\u003csub\\u003e50\\u003c/sub\\u003e) of i.p. and p.o. was 208 and 687 mg/kg, respectively. Body and key organ weights and their H\\u0026amp;E staining analysis were not found aberrant between dosed and control groups (Supplementary Fig. S9A and S9B). These evidences show that ZYS-1 has strong anti-tumor efficacy and is relatively safe \\u003cem\\u003ein vivo\\u003c/em\\u003e.\\u003c/p\\u003e\\n \\u003cp\\u003ePrevious studies have demonstrated that loss of ADAR1 in tumor promotes IFN release and efficacy of immunotherapy such as PD-1 blockade (\\u003cspan class=\\\"CitationRef\\\"\\u003e36\\u003c/span\\u003e). This sensitivity of tumor to immunotherapy is mediated by IFN release induced by ADAR1 loss. We thus determined the concentration of IFN-\\u0026gamma; in tumor of xenograft mice. ELISA and WB analysis both validated increased human IFN-\\u0026gamma; release in tumor in a dose-dependent manner (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e7\\u003c/span\\u003eH; Supplementary Fig. S10D). Consistent with the increase of CD8\\u003csup\\u003e+\\u003c/sup\\u003e T cells upon ADAR1 loss, we found that ZYS-1 treatment significantly elevated proportion of CD8\\u003csup\\u003e+\\u003c/sup\\u003e T cells in tumor and spleen (Fig.\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e7\\u003c/span\\u003eI-K). In addition, immunosuppressive myeloid-derived suppressor cells (MDSCs) CD11b\\u003csup\\u003e+\\u003c/sup\\u003eGr1\\u003csup\\u003e+\\u003c/sup\\u003e were decreased in tumors after ZYS-1 treatment (Supplementary Fig. S10C). These results together suggest ZYS-1 not only exerts anti-proliferation and pro-apoptosis effects on tumor, but also ameliorate TME and enhance anti-tumor immunity by induction of IFN-\\u0026gamma; release, CD8\\u003csup\\u003e+\\u003c/sup\\u003e T cell infiltration, and decrease of MDSCs. Taken together, targeting ADAR1 is a promising therapy for prostate cancer and may synergize with immunotherapy such as PD-1 blockade deserving further studies.\\u003c/p\\u003e\\n\\u003c/div\\u003e\\n\\u003cdiv class=\\\"Section2\\\" id=\\\"Sec7\\\"\\u003e\\n \\u003ch2\\u003eZYS-1 shows broad anti-tumor effects against various solid tumors and hematological malignancies\\u003c/h2\\u003e\\n \\u003cp\\u003ePrevious studies have identified ADAR1\\u0026rsquo;s oncogenic roles in many tumor types, such as gastric cancer, lung cancer, glioblastoma, liver cancer, breast cancer, multiple myeloma, melanoma, pancreatic cancer, and leukemia (\\u003cspan class=\\\"CitationRef\\\"\\u003e13\\u003c/span\\u003e, \\u003cspan class=\\\"CitationRef\\\"\\u003e36\\u003c/span\\u003e, \\u003cspan class=\\\"CitationRef\\\"\\u003e37\\u003c/span\\u003e, \\u003cspan class=\\\"CitationRef\\\"\\u003e39\\u003c/span\\u003e\\u0026ndash;\\u003cspan class=\\\"CitationRef\\\"\\u003e41\\u003c/span\\u003e, \\u003cspan class=\\\"CitationRef\\\"\\u003e46\\u003c/span\\u003e, \\u003cspan class=\\\"CitationRef\\\"\\u003e50\\u003c/span\\u003e, \\u003cspan class=\\\"CitationRef\\\"\\u003e51\\u003c/span\\u003e). We thus chose several cancer cell lines to test anti-proliferation effect of ZYS-1 as ADAR1 level in these tumors was markedly higher than in non-tumor tissues in TCGA patients. ZYS-1 pronouncedly suppressed cell viability of all these cancer cell lines with low IC\\u003csub\\u003e50\\u003c/sub\\u003e values (\\u0026lt;\\u0026thinsp;1 \\u0026micro;M; Supplementary Fig. S11A-S11F). In addition, ZYS-1 exhibited excellent anti-proliferation activity towards primary AML cells from patients (IC\\u003csub\\u003e50\\u003c/sub\\u003e\\u0026thinsp;\\u0026lt;\\u0026thinsp;200 nM; Supplementary Fig. S11G). Particularly, ZYS-1 also potentiated ATRA-induced myeloid differentiation in these primary AML cells in a dose-dependent manner, possibly through an unknown mechanism by which ADAR1 inhibition on AML myeloid differentiation (Supplementary Fig. S11H). Collectively, these results suggest targeting ADAR1 with small molecule inhibitor ZYS-1 has broad therapeutic potential against a wide range of tumor types.\\u003c/p\\u003e\\n\\u003c/div\\u003e\"},{\"header\":\"Discussion\",\"content\":\"\\u003cp\\u003eProstate cancer (PCa) remains a leading cause of cancer death in men (\\u003cspan citationid=\\\"CR52\\\" class=\\\"CitationRef\\\"\\u003e52\\u003c/span\\u003e). However, it will inevitably progress into incurable metastatic CRPC in most patients following ADT and AR antagonist therapy (\\u003cspan citationid=\\\"CR53\\\" class=\\\"CitationRef\\\"\\u003e53\\u003c/span\\u003e). Therefore, identifying novel and efficacious drug targets is urgently needed to expand therapeutic options for lethal PCa. ADAR1-mediated deamination of adenosine-to-inosine (A-to-I) within double-stranded RNA (dsRNA) is the most prevalent form of RNA editing that modifies the sequence of RNA transcripts without changing its genomic blueprints, and its aberration has revealed a close association with autoimmune disease Aicardi-Goutieres Syndrome (AGS), neurodegenerative disease Autism and many kinds of cancer (\\u003cspan citationid=\\\"CR14\\\" class=\\\"CitationRef\\\"\\u003e14\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR54\\\" class=\\\"CitationRef\\\"\\u003e54\\u003c/span\\u003e). Although previous study has reported that PCA3/PRUNE2 axis is mediated by ADAR1 dependent RNA editing effects on tumor growth in AR-dependent prostate cancer cell lines (\\u003cspan citationid=\\\"CR33\\\" class=\\\"CitationRef\\\"\\u003e33\\u003c/span\\u003e), little is known about the role of ADAR1 in AR-negative prostate cancer, and the landscape of A-to-G editing targets in PCa remains underexplored. In the present study, we not only demonstrated that ADAR1-mediated A-to-G editing is a crucial carcinogenesis event in PCa, but also developed a novel small-molecule ADAR1 inhibitor, ZYS-1, that exhibits profound anti-proliferation activities against multiple cancer cells, not limited to PCa. Our data showed that ADAR1 is highly expressed in prostate cancer and associated with higher A-to-G editing levels. ADAR1 depletion and pharmacological inhibition dramatically suppressed PCa cells growth and metastasis, induced apoptosis, reduced the tumor burden and ameliorated immune response \\u003cem\\u003ein vivo\\u003c/em\\u003e, We further identified oncogenic protein MTDH as a novel crucial edited target of ADAR1 driving tumor proliferation and invasion in PCa, whose translation was repressed by ADAR1 in an editing dependent manner. These data establish the critical regulatory role of ADAR1 in PCa initiation and progression, thereby expanding remedies for lethal PCa treatment.\\u003c/p\\u003e \\u003cp\\u003eSeveral studies have analyzed RNA editing profile in cancer from high-throughput whole transcriptome RNA-seq data in public databases, showing that A-to-G editing levels are higher in most tumors rather than in the matched normal tissues (\\u003cspan additionalcitationids=\\\"CR29 CR30\\\" citationid=\\\"CR28\\\" class=\\\"CitationRef\\\"\\u003e28\\u003c/span\\u003e\\u0026ndash;\\u003cspan citationid=\\\"CR31\\\" class=\\\"CitationRef\\\"\\u003e31\\u003c/span\\u003e), including prostate cancer. Recently, Chan and colleagues reported that five types of cancers have hyperediting patterns in the mesenchymal (M) phenotypes rather than in the epithelial (E) phenotypes, including prostate cancer (\\u003cspan citationid=\\\"CR55\\\" class=\\\"CitationRef\\\"\\u003e55\\u003c/span\\u003e). However, the precise molecular mechanism through which ADAR1-mediated A-to-G editing leading to prostate carcinogenesis and metastasis was not fully explored in these studies. Here combined with the TCGA public data and the RNA-seq data of three pairs of matched PCa and normal tissues, we demonstrate that a higher A-to-G editing level in PCa appears to be caused by higher expression of \\u003cem\\u003eADAR1\\u003c/em\\u003e rather than \\u003cem\\u003eADAR2\\u003c/em\\u003e. Subsequently, we identified 114 potential targets of ADAR1 through multi-omics analysis, which were mainly enriched in processes such as translation, viral process, cell cycle, ribosome and apoptosis. Based on their functions in literature, we further experimentally validated their binding with ADAR1. Importantly, we identified MTDH as a crucial edited target of ADAR1 in PCa. MTDH as an oncogenic protein has been implicated in various cancers, such as breast cancer, prostate cancer, hepatocellular carcinoma, colorectal cancer, gastric cancer, and lung cancer, which drove tumor development and drug resistance via modulation of AKT/PI3K, NF-κB, MAPK, and Wnt/β-catenin signaling (\\u003cspan citationid=\\\"CR42\\\" class=\\\"CitationRef\\\"\\u003e42\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR43\\\" class=\\\"CitationRef\\\"\\u003e43\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR56\\\" class=\\\"CitationRef\\\"\\u003e56\\u003c/span\\u003e). Previous studies showed higher A-to-G editing levels of MTDH in breast cancer and hepatocellular carcinoma (\\u003cspan citationid=\\\"CR57\\\" class=\\\"CitationRef\\\"\\u003e57\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR58\\\" class=\\\"CitationRef\\\"\\u003e58\\u003c/span\\u003e), however, the connection of ADAR1 and MTDH has not been reported in PCa. In this study, we found elevated A-to-G editing level and higher expression level of MTDH in the three PCa specimens rather than normal tissues, and loss of ADAR1 reduced MTDH protein level, but not altered mRNA stability and transcript abundance. Rescue results showed that ADAR1/MTDH axis is regulated in an editing-dependent manner and mediates PCa cells proliferation and invasion. Indeed, we have shown that ADAR1 editing in 3\\u0026prime; UTR of \\u003cem\\u003eMTDH\\u003c/em\\u003e affects the accumulation of \\u003cem\\u003eMTDH\\u003c/em\\u003e mRNA in ribosome machinery, and ADAR1 knockdown resulted in upregulation of p-PKR and p-eIF2α, which trigger comprehensive translation shutdown (\\u003cspan citationid=\\\"CR44\\\" class=\\\"CitationRef\\\"\\u003e44\\u003c/span\\u003e). Rather, other studies suggested that ADAR1 regulates translation efficiency by affecting transcript spatial distribution and ribosome stalling (\\u003cspan citationid=\\\"CR59\\\" class=\\\"CitationRef\\\"\\u003e59\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR60\\\" class=\\\"CitationRef\\\"\\u003e60\\u003c/span\\u003e). More precise mechanisms towards MTDH post-transcriptional regulation still need to be illuminated future.\\u003c/p\\u003e \\u003cp\\u003eIn addition, several recent articles reported loss of ADAR1 in tumors not only potentiates the efficacy of epigenetic therapy in colorectal cancer, but also confers susceptibility to the immunotherapy and overcomes resistance to immune checkpoint blockade in melanoma (\\u003cspan citationid=\\\"CR35\\\" class=\\\"CitationRef\\\"\\u003e35\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR36\\\" class=\\\"CitationRef\\\"\\u003e36\\u003c/span\\u003e). Therefore, development of small-molecule drugs against ADAR1 is of therapeutic significance. However, hitherto, due to the lack of crystal structural information for the deaminase domain of ADAR1, no drug has been successfully discovered against ADAR1. Here, using the homology model created in a recent study (\\u003cspan citationid=\\\"CR48\\\" class=\\\"CitationRef\\\"\\u003e48\\u003c/span\\u003e), by structure-based virtual screening, we obtained the hit compound 8-Br-Ado which moderately inhibited the deaminase activity of ADAR1 and cell proliferation. Next, through further structural optimization and subsequent validation assays, we developed a novel small-molecule ADAR1 inhibitor, ZYS-1, which could bind to ADAR1 and inhibited its deaminase activity with an IC\\u003csub\\u003e50\\u003c/sub\\u003e of 0.866 \\u0026micro;M. Recapitulating ADAR1 knockdown effect, ZYS-1 dramatically suppressed PCa cells growth and metastasis, induced apoptosis, reduced tumor burden and ameliorated immune response with a favorable safety profile \\u003cem\\u003ein vivo\\u003c/em\\u003e, furthermore, modulating the certain signaling targets, e.g., \\u003cem\\u003eCDK6\\u003c/em\\u003e, \\u003cem\\u003eMYC\\u003c/em\\u003e, \\u003cem\\u003eCDH1\\u003c/em\\u003e, \\u003cem\\u003eCDH2\\u003c/em\\u003e, \\u003cem\\u003eTP53\\u003c/em\\u003e, and \\u003cem\\u003eEIF2AK2\\u003c/em\\u003e. Importantly, ZYS-1 impaired the A-to-G editing levels of the novel target \\u003cem\\u003eMTDH\\u003c/em\\u003e and \\u003cem\\u003eIFNAR1\\u003c/em\\u003e, and reduced MTDH protein level but not changed its mRNA level. Rescue assays showed that ZYS-1\\u0026rsquo;s contribution to anti-tumor activity in PCa was through inhibition of ADAR1/MTDH axis.\\u003c/p\\u003e \\u003cp\\u003eWe first speculated ADAR1 protein degradation induced by ZYS-1 is in a post-transcriptional manner as ZYS-1 did not alter ADAR1 mRNA levels. A previous study has indicated that IFN signaling activation would induce ADAR1 degradation in an ubiquitination-dependent manner (\\u003cspan citationid=\\\"CR61\\\" class=\\\"CitationRef\\\"\\u003e61\\u003c/span\\u003e). We thus assumed that ZYS-1-induced ADAR1 degradation is ubiquitination/proteasome-dependent. At first, we used cycloheximide (CHX) to inhibit new protein synthesis. However, ZYS-1 only slightly induced ADAR1 protein degradation after 6 and 12 hours treatment (Supplementary Fig. S8C). Next, we used a proteasome inhibitor MG132 to inhibit proteasome-mediated protein degradation, however, MG132 treatment did not rescue the dramatic loss of ADAR1 upon ZYS-1 inhibition, suggesting independent of proteasome degradation (Supplementary Fig. S8D). Coincidently, overexpressed m6A methyltransferase METTL3/14 has been suggested to regulate N\\u003csup\\u003e6\\u003c/sup\\u003e-methyladenosine (m6A) on \\u003cem\\u003eADAR1\\u003c/em\\u003e mRNA in glioblastoma. The m6A binding protein YTHDF1 was demonstrated to recognize m6A modification on ADAR1 mRNAs and promote its translation, as evidenced by ADAR1 protein reduction without affecting its mRNA level upon YTHDF1 knockdown (\\u003cspan citationid=\\\"CR62\\\" class=\\\"CitationRef\\\"\\u003e62\\u003c/span\\u003e). Therefore, we postulated ADAR1 degradation upon ZYS-1 treatment maybe through an m6A-YTHDF1 dependent mechanism as ZYS-1 led to a significant reduction of YTHDF1 protein level in PCa cells (Supplementary Fig. S8E). Though this may be one reason for ADAR1 protein reduction upon ZYS-1 treatment, the precise mechanism still needs further exploration.\\u003c/p\\u003e \\u003cp\\u003eFinally, due to the lack of crystal structural information for the deaminase domain of ADAR1, we performed \\u003cem\\u003ein silico\\u003c/em\\u003e docking to elucidate the binding mode between ZYS-1 and ADAR1 homology model. Docking analysis suggested that some crucial hydrogen bonds interactions (V894, K1003, V1004 and G1009) formed between ADAR1 and 8-Br-Ado or ZYS-1, which are located closely with catalytic metal-binding sites (C966, H988) and deaminase domain (E912, F972, D973, K996). However, in the interaction between ZYS-1 and ADAR1, halogens such as 2-F and 8-Cl formed some weak σ-hole interactions with C893, L1031 or T1033, similar to hydrogen bonds, which play an important role in the process of protein and ligand recognition and binding. This may be the reason why compound ZYS-1 exhibits a higher affinity to ADAR1 compared to 8-Br-Ado. Further study to obtain the crystal structure of ADAR1 has been undertaken in our collaborated laboratory. Expectantly, the co-crystal structure would elucidate the binding mode and more precisely guide to optimize ZYS-1 to enhance the inhibitory activity, pharmacokinetic profiles, safety properties or anti-tumor efficacy.\\u003c/p\\u003e \\u003cp\\u003eIn summary, our study carries out a model in which the disturbing of ADAR1-mediated A-to-G editing in MTDH triggers its translational shutdown, modulating tumor cells proliferation and invasion in prostate cancer. Encouragingly, we discover and develop a novel small-molecule ADAR1 inhibitor ZYS-1 with strong anti-tumor efficacy and favorable safety profile. Meanwhile, we highlight the widespread applicability of ADAR1 inhibitors in various cancers. All these findings may represent a new therapeutic strategy for prostate cancer and more malignancies by targeting epitranscriptomic RNA editing with single agent or combination with other therapies.\\u003c/p\\u003e\"},{\"header\":\"Methods\",\"content\":\"\\u003cdiv id=\\\"Sec10\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eClinical samples\\u003c/h2\\u003e \\u003cp\\u003eThree pairs of matched prostate tumor, normal prostate tissue, and fresh bone marrow (BM) blood of AML patients were obtained from Huai\\u0026rsquo;an First People\\u0026rsquo;s Hospital with patients\\u0026rsquo; informed consent. Fresh tissues were divided into several parts for protein and RNA isolation. Mononuclear cells (MNCs) were isolated from BM blood samples using Ficoll Paque Plus (GE Heathcare, 17-1440-02-1) for further studies. All samples used in this study were approved by medical ethics committee of Huai\\u0026rsquo;an First People\\u0026rsquo;s Hospital, and China Pharmaceutic University. Clinicopathologic information of each patient was listed in Supplementary Table S1.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec11\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eCell Culture\\u003c/h2\\u003e \\u003cp\\u003eAll cell lines used in this study were cultured in recommended culture medium at 37\\u0026deg;C in 5% CO\\u003csub\\u003e2\\u003c/sub\\u003e. Sources and culture mediums of these cell lines were detailedly listed in Supplementary Table S1. All cell lines were detected no mycoplasma contamination annually and had valid STR profile. MNCs isolated from BM blood of AML patients were cultured in IMDM medium supplemented with 20% FBS, 10 ng/mL human cytokines IL-3, IL-6, SCF, TPO, and FLT3 ligand (all from Sino Biological).\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec12\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eBioinformatics data mining and analysis\\u003c/h2\\u003e \\u003cp\\u003eExpression data and clinical data of 497 PRAD patients in the Cancer Genome Atlas (TCGA) database were downloaded from the cBioPortal platform (\\u003cspan class=\\\"ExternalRef\\\"\\u003e\\u003cspan class=\\\"RefSource\\\"\\u003ehttps://www.cbioportal.org\\u003c/span\\u003e\\u003c/span\\u003e). Additionally, we downloaded expression data of 51 normal prostate tissue samples from the Genomic Data Commons (GDC, \\u003cspan class=\\\"ExternalRef\\\"\\u003e\\u003cspan class=\\\"RefSource\\\"\\u003ehttps://portal.gdc.cancer.gov/\\u003c/span\\u003e\\u003c/span\\u003e). To explore the prognostic value of \\u003cem\\u003eADAR1\\u003c/em\\u003e, we assigned PRAD patients into three subgroup, ADAR1-high (top 10%), ADAR1-intermediate, and ADAR1-low (bottom 10%), based on the expression levels of \\u003cem\\u003eADAR1\\u003c/em\\u003e. All statistical analyses were performed using R software (version 3.6.3).\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec13\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eSynthesis of ZYS-1\\u003c/h2\\u003e \\u003cp\\u003eTo a solution of 2-fluoroadenosine (5.70 g, 20 mmol) and pyridine (3.22 mL, 40 mmol) in acetonitrile (80 mL) was added drop-wise SOCl\\u003csub\\u003e2\\u003c/sub\\u003e (7.25 mL, 100 mmol) at 0 \\u0026ordm;C. The reaction mixture was continuously stirred for 4 h, and then subsequently warmed to room temperature for overnight. The resulting suspension was concentrated in vacuo. To the reaction mixture was added methanol (120 mL), water (12 mL), and NH\\u003csub\\u003e4\\u003c/sub\\u003eOH (24 mL), followed by stirring for 0.5 h at r.t. The reaction mixture was concentrated and the solid was precipitated in the water phase, and the filter cake was obtained by filtration. The filter cake was re-dissolved in a small amount of methanol at 60 \\u0026ordm;C, and dichloromethane was added dropwise. The solid was precipitated by cooling, filtered and washed with cold methanol to obtain the product ZYS-1 as a white solid (5.45 g, 90%). \\u003csup\\u003e1\\u003c/sup\\u003eH NMR (400 MHz, DMSO-\\u003cem\\u003ed\\u003c/em\\u003e\\u003csub\\u003e6\\u003c/sub\\u003e) δ 8.34 (s, 1H), 7.92 (s, 2H), 5.84 (d, \\u003cem\\u003eJ\\u003c/em\\u003e\\u0026thinsp;=\\u0026thinsp;5.6 Hz, 1H), 5.58 (s, 2H), 4.67 (t, \\u003cem\\u003eJ\\u003c/em\\u003e\\u0026thinsp;=\\u0026thinsp;5.4 Hz, 1H), 4.26\\u0026ndash;4.16 (m, 1H), 4.10 (q, \\u003cem\\u003eJ\\u003c/em\\u003e\\u0026thinsp;=\\u0026thinsp;5.4, 5.0 Hz, 1H), 3.99\\u0026ndash;3.81 (m, 2H). \\u003csup\\u003e13\\u003c/sup\\u003eC NMR (101 MHz, DMSO) δ 158.61 (d, \\u003cem\\u003eJ\\u003c/em\\u003e\\u0026thinsp;=\\u0026thinsp;206.4 Hz,), 157.70 (d, \\u003cem\\u003eJ\\u003c/em\\u003e\\u0026thinsp;=\\u0026thinsp;19.3 Hz), 150.75 (d, \\u003cem\\u003eJ\\u003c/em\\u003e\\u0026thinsp;=\\u0026thinsp;19.7 Hz), 140.01, 117.58, 87.40, 83.74, 72.69, 71.17, 44.76.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec14\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eCell Proliferation Assays\\u003c/h2\\u003e \\u003cp\\u003eCell proliferations were evaluated using the Cell Counting Kit-8 (Share-bio, SB-CCK8). Briefly, 5000\\u0026ndash;20000 cells/well were seeded into 96-well plate and treated with several diluted concentrations of test compounds or DMSO as control in triplicates. After treatment for 72 h, 10 \\u0026micro;L of CCK-8 solution was added into each well, and the absorbance at 450 nm was measured using a microplate reader (Bio-Tek SynergyH1) upon incubation for 4 h at 37\\u0026deg;C. Data were fitted in nonlinear regression and IC\\u003csub\\u003e50\\u003c/sub\\u003e values were calculated by GraphPad Prism 8.0. For cell growth assays, cell viabilities were determinated at 0, 24, 48, 72, and 96 h.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec15\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eWestern Blotting\\u003c/h2\\u003e \\u003cp\\u003eWestern blotting assay was performed similarly as described previously (\\u003cspan citationid=\\\"CR63\\\" class=\\\"CitationRef\\\"\\u003e63\\u003c/span\\u003e). Cells were lysed in RIPA lysis buffer (Thermo Fisher Scientific, 89901) at 4\\u0026deg;C, and the lysate supernatant were added with protease inhibitor (Roche, 04693132001) and phosphatase inhibitor (Roche, 04906845001). Protein concentration of lysates was quantified using a BCA protein assay kit (Thermo Fisher Scientific, 23227). Equal amounts of protein were loaded onto 8\\u0026ndash;12% SDS-PAGE gel and transferred onto a polyvinylidene difluoride (PVDF) membrane, which was blocked with 0.5% skim milk in Tris-buffered saline supplemented with 0.5% Tween 20 (TBS-T) and then incubated with indicated primary antibodies. Flowing washing in TBS-T, membranes was incubated with horseradish peroxidase-conjugated (HRP) secondary antibody for 1\\u0026ndash;2 h. The blots were visualized by a chemiluminscent detection system (Tanon, Shanghai, China).\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec16\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eCell migration and invasion assays\\u003c/h2\\u003e \\u003cp\\u003eEach transwell (Falcon, 353097) was seeded with 5 \\u0026times; 10\\u003csup\\u003e4\\u003c/sup\\u003e cells which have been starved in FBS-free medium for 12 h. Then, cells were allowed to migrate or invade to the bottom chamber for at least 24 h. Cells in the bottom of the chamber were fixed in 4% paraformaldehyde (PFA) for 10 min and stained with crystal violet for 10 min. For invasion assay, upper chambers were precoated with matrigel (Corning, 356234) and incubated for 12 h at 37\\u0026deg;C. Images were taken using an inverted microscope (Nikon) and cell counts were quantified using ImageJ software.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec17\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eColony formation assay\\u003c/h2\\u003e \\u003cp\\u003e500\\u0026ndash;1000 cells/well were plated to 24-well plate and allowed for growth for 10\\u0026ndash;14 days, during which medium in wells were replaced every three days. 4% PFA was used to fix colony for 10 minutes, followed by staining with crystal violet for 10 minutes. Images were taken using an inverted microscope and colony numbers were quantified using ImageJ software.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec18\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eLentivirus transfection\\u003c/h2\\u003e \\u003cp\\u003eLentivirus particles of short-hairpin RNA against \\u003cem\\u003eADAR1\\u003c/em\\u003e (pGV248-sh\\u003cem\\u003eADAR1\\u003c/em\\u003e) and its scrambled control (pGV112-shNC) were constructed and purchased from Genechem Co. Ltd. (Shanghai, China). For lentivirus transfection, 1\\u0026ndash;10 \\u0026times; 10\\u003csup\\u003e5\\u003c/sup\\u003e cells were seeded onto 6-well plate and allowed for adhesion for 24 h, followed by transfection with above lentivirus in the presence of HitransG P (Genechem, REVG005). After 16\\u0026ndash;24 h, medium containing virus was removed. Transfected cells were allowed for growth for 3\\u0026ndash;5 days, during which GFP fluorescence was observed every day, followed by treatment with 2 \\u0026micro;g/mL puromycin for 24 h to select positive infected cells. All transfected cells were validated by qRT-PCR and western blotting, and maintained in medium containing 1 \\u0026micro;g/mL puromycin. The lentiviral particles were used at 20 multiplicity of infection (MOI). The target sequences of the sh\\u003cem\\u003eADAR1\\u003c/em\\u003e and shNC were as follows: shNC: 5\\u0026prime;-TTCTCCGAACGTGTCACGT-3\\u0026prime;; sh\\u003cem\\u003eADAR1\\u003c/em\\u003e 1#: 5\\u0026prime;-GATACTACACCCATCCATT-3\\u0026prime;; sh\\u003cem\\u003eADAR1\\u003c/em\\u003e 2#: 5\\u0026prime;-AGGGTATGTTGACTTTGAA-3\\u0026prime;.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec19\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eTransient overexpression of MTDH, ADAR1 WT and ADAR1 Mut\\u003c/h2\\u003e \\u003cp\\u003eAll plasmids including pGV141-EV, pGV141-\\u003cem\\u003eADAR1\\u003c/em\\u003e WT, pGV141-\\u003cem\\u003eADAR1\\u003c/em\\u003e Mut, and pGV141-\\u003cem\\u003eMTDH\\u003c/em\\u003e were constructed and purchased from Genechem Co. Ltd. (Shanghai, China). Briefly, 3 \\u0026times; 10\\u003csup\\u003e5\\u003c/sup\\u003e DU-145 cells were seeded onto 6-well plate and allowed for adhesion to 70% confluence. Each well was added 200 \\u0026micro;L transfection complex in RPMI1640 medium containing 1 \\u0026micro;g plasmid and 1 \\u0026micro;L X-tremeGENE HP DNA Transfection Reagent (Roche, 06366236001). After 24\\u0026ndash;48 h transfection, expressions were validated by western blotting. The primers used for amplifying \\u003cem\\u003eADAR1\\u003c/em\\u003e and \\u003cem\\u003eMTDH\\u003c/em\\u003e cDNA by PCR were listed in Supplementary Table S2.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec20\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eCellular Thermal Shift Assay (CETSA)\\u003c/h2\\u003e \\u003cp\\u003eCETSA was performed following the protocol by Huang et al (\\u003cspan citationid=\\\"CR64\\\" class=\\\"CitationRef\\\"\\u003e64\\u003c/span\\u003e). Cells were harvested and lysed in PBS containing 50 mM Tris-HCl (pH 7.5), 150 mM NaCl, and 2 mM DTT after freeze-thawed three times using liquid nitrogen. Upon centrifugation, supernatant were added ZYS-1 or DMSO and incubated at 25\\u0026deg;C. Subsequently, the supernatant were divided equally and denatured at various temperatures for 5 min. These samples were analyzed by SDS-PAGE and western blot. Relative protein band intensity was analyzed by Image J software and the apparent aggregation temperature (\\u003cem\\u003eT\\u003c/em\\u003e\\u003csub\\u003eagg\\u003c/sub\\u003e) was fitted and calculated by GraphPad Prism 8.0 software.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec21\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eRNA-seq and Data Analysis\\u003c/h2\\u003e \\u003cp\\u003eCells were harvested and total RNA was extracted using Beyozol Total RNA Extraction Reagent (Beyotime, R0011) following the instruction of the manufacturer. Total mRNA was enriched by Obligo(dT) beads, then fragmented into short fragments and reversely transcribed into cDNA with random primers. After the second-strand cDNA was synthesized, cDNA fragments were purified, end repaired, added poly(A), and ligated to Illumina sequencing adapters. The ligation products were size selected by agarose gel electrophoresis, amplified by PCR, and sequenced using Illumina HiSeq2500 by Genedenovo Biotechnology Co., Ltd (Guangzhou, China). Raw reads were cleaned to remove adapters or low quality reads and rRNA mapped reads. Clean reads were mapped to Homo sapiens genome. Gene expressions were quantified by FPKM (fragment per kilobase of transcript per million mapped reads) value and differential expression analysis was performed by DESeq2 software between two different groups with false discovery rate (FDR) below 0.05 and absolute fold change\\u0026thinsp;\\u0026ge;\\u0026thinsp;2 considered differentially expressed genes. Gene Ontology (GO), Gene Set Enrichment Analysis (GSEA), Kyoto Encyclopedia of Genes and Genomes (KEGG), and hallmark gene sets in Molecular Signatures Database (MSigDB) were used to analyze the enriched pathways. Bioinformatic analysis was performed using Omicsmart platform (\\u003cspan class=\\\"ExternalRef\\\"\\u003e\\u003cspan class=\\\"RefSource\\\"\\u003ehttps://www.omicsmart.com\\u003c/span\\u003e\\u003c/span\\u003e\\u003cspan type=\\\"Underline\\\" class=\\\"Underline\\\" name=\\\"Emphasis\\\"\\u003e).\\u003c/span\\u003e\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec22\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eCell Cycle and Apoptosis Assays\\u003c/h2\\u003e \\u003cp\\u003eFor cell cycle analysis, cells were collected and fixed with 70% ethanol overnight at 4\\u0026deg;C. Cells were washed with PBS and stained with propidium iodide (PI) using Cell Cycle Analysis Kit (Beyotime, C1052) for 30 min at 37\\u0026deg;C. After staining, samples were subjected immediately to flow cytometry analysis. For cell apoptosis analysis, YF\\u0026reg;488-Annexin V and PI Apoptosis Kit (US Everbright, Y6002) was used following the manufacturer\\u0026rsquo;s instructions. Cells were collected and stained with YF\\u0026reg;488-Annexin V and PI for 20 min at room temperature away from light. To avoid disturbance from GFP fluorescence in shNC and shADAR1 cells, we used Annexin V-APC and 7AAD doubling staining method (Annexin V-APC and 7AAD Apoptosis Kit, US Everbright, A6030) to determine their apoptosis. Samples were subjected immediately to flow cytometry analysis. Flow cytometry was conducted using FACS Celesta (BD) and FACS Calibur (BD) and data was analyzed using FlowJo V10 software.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec23\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eADAR1 deaminase activity determination\\u003c/h2\\u003e \\u003cp\\u003eThe ability of compounds to inhibit purified ADAR1 protein deaminase activity was determined by Adenosine Deaminase (ADA) Activity Assay Kit (Fluorometric) (Abcam, ab204695) following the manufacturer\\u0026rsquo;s instructions. Measure output on a fluorescent microplate reader at Ex/Em\\u0026thinsp;=\\u0026thinsp;535/587 nm in a kinetic mode, every 2 minutes, for at least 60 minutes at 37\\u0026deg;C protected from light. The fluorescent value in two time points in compounds treated group relative to control group was regarded as remaining ADAR1 deaminase activity.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec24\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eFlow Cytometry\\u003c/h2\\u003e \\u003cp\\u003eTumors from xenograft mice were ground mechanically, digested, and filtered with 70-\\u0026micro;m screen to provide single cell suspensions. Fresh spleens collected from xenograft mice were subjected to erythrocytes lysis (Biolegend, 420301). Mice cells were blocked with anti-mouse CD16/32 (TruStain FcX\\u0026trade;, Biolegend, 101319), followed by cell surface staining with various labeled antibodies for 20 min at 4\\u0026deg;C in the dark. MNCs isolated from BM blood of AML patients were blocked with Fc receptor blocking solution (Human TruStain FcX\\u0026trade; Biolegend, 422301). Subsequently, cells were centrifuged and resuspended in Cell Staining Buffer (Biolegend, 420201), and were subjected to flow cytometry directly. Anti-mouse antibodies used were as follows: FITC-CD3, APC-CD8a, FITC-CD11b, APC-Gr-l (ly6C/ly6G). Anti-human antibodies used were as follows: FITC-CD11b, APC-CD15. Flow cytometry was conducted using FACS Celesta (BD) and FACS Calibur (BD) and data was analyzed using FlowJo V10 software.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec25\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eImmunohistochemistry (IHC)\\u003c/h2\\u003e \\u003cp\\u003eTumors and key organs from prostate cancer xenograft mice were fixed in 4% PFA followed by embedded in paraffin wax, sectioned in slides. Sections were incubated with 3% H\\u003csub\\u003e2\\u003c/sub\\u003eO\\u003csub\\u003e2\\u003c/sub\\u003e for 10 min to quench endogenous peroxidase activity followed by antigen retrieval using unmasking solution. Nonspecific binding was blocked with 2% goat serum for 30 min. These sections were then subjected to ADAR1, Ki-67, Tunel and hematoxylin and eosin (H\\u0026amp;E) staining. Organs from mice in acute toxicity study were carried out for H\\u0026amp;E staining. A human prostate cancer tissue microarray was purchased from Servicebio technology Co., Ltd. (Wuhan, China). This slide was stained with anti-ADAR1 (1:200 dilution) antibody. Immunohistochemistry staining intensity was measured by Image-Pro Plus 6.0 software. The staining H-Score was calculated by the following formula: H-SCORE = (percentage of cells of weak intensity) \\u0026times; 1 + (percentage of cells of moderate intensity \\u0026times; 2)\\u0026thinsp;+\\u0026thinsp;percentage of cells of strong intensity \\u0026times; 3). Slide was visualized using CaseViewer2.2 software. Clinicopathologic information of each patient was listed in Supplementary Table S1.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec26\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eEnzyme-Linked ImmunoSorbent Assay (ELISA)\\u003c/h2\\u003e \\u003cp\\u003eTumor was lysed in RIPA lysis buffer. IFN-γ level in lysate or plasma was detected using Mouse IFN-γ ELISA Kit (Beyotime, PI508) or Human IFN-γ ELISA Kit (Beyotime, PI511) according to manufacturer\\u0026rsquo;s instructions. Briefly, samples were added into pre-immobilized IFN-γ antibody 96-well plate and incubated for 2 h in r.t. IFN-γ biotinylated antibodies were added into plate and incubated for 1 h in r.t. Subsequently, horseradish peroxidase labeled streptavidin was added into plate with incubation for 20 min followed by adding stop solution, and then immediately measured in 450 nm. The IFN-γ content in tumor or plasma was calculated based on standard curve.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec27\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eDetermination of editing level in cells\\u003c/h2\\u003e \\u003cp\\u003eCells were extracted using RNA-easy Isolation Reagent (Vazyme, R701-01) following the manufacturer\\u0026rsquo;s instructions. RNA was reversely transcribed to cDNA using the HiScript\\u0026reg; III 1st Strand cDNA Synthesis Kit (Vazyme, R312-02). To precisely measure the A-to-G levels in RNA target, NestPCR was performed to amplify cDNA product preventing mismatching. cDNA product was subjected to PCR amplification for 25 cycles followed by the second PCR for 35 cycles using Phanta\\u0026reg; Max Super-Fidelity DNA Polymerase (Vazyme, P505-d1) (Primers used for NestPCR in Supplementary Table S2). cDNA products were purified by agarose gel electrophoresis, and then subjected to Sanger Sequencing. The editing level was quantified based on peak height ratio (%G/(A\\u0026thinsp;+\\u0026thinsp;G)) using BioEdit software.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec28\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eQuantitative Real-Time PCR (qRT-PCR) and RNA editing site-specific qRT-PCR (RESSqPCR)\\u003c/h2\\u003e \\u003cp\\u003eTotal RNA was extracted using RNA-easy Isolation Reagent according to the manufacturer\\u0026rsquo;s instructions. RNA was reversely transcribed to cDNA using HiScript\\u0026reg; III RT SuperMix (Vazyme, R323-01) and then subjected to qRT-PCR using ChamQ SYBR qPCR Master Mix (Low ROX premix) (Vazyme, Q331-02). All qPCR assays were run in an ABI 7500 Fast Real-Time PCR system (Applied Biosystem, USA). In this study, each sample was run in triplicates. Relative gene expressions were calculated by 2\\u003csup\\u003e\\u0026minus;ΔΔCt\\u003c/sup\\u003e method and \\u003cem\\u003eGAPDH\\u003c/em\\u003e was used as endogenous control. To determine editing level with qPCR method, RESSqPCR was used to confirm the reduced editing level of known target of ADAR1 as previously reported. Relative RNA editing ratios (Relative edit/WT RNA) were calculated using the following formula: 2\\u003csup\\u003e\\u0026minus;(Ct Edit \\u0026minus; Ct WT)\\u003c/sup\\u003e. The primers used for qPCR and RESSqPCR were listed in Supplementary Table S2.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec29\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eAnimal studies\\u003c/h2\\u003e \\u003cp\\u003eFour- to five-week-old wild-type female BALB/c mice were purchased from Shanghai SLAC Laboratory Animals Co. Ltd. We subcutaneously implanted 1 \\u0026times; 10\\u003csup\\u003e6\\u003c/sup\\u003e tumor cells (mixed 1:1 v/v with matrigel) into the right flank of BALB/c mice age-matched to 6- to 8-week-old. Drug treatment was started when xenograft tumor size reached to around 70\\u0026ndash;100 mm\\u003csup\\u003e3\\u003c/sup\\u003e. ZYS-1 was administrated into mice via intraperitoneal injection twice every day before euthanatizing mice. Tumor volumes were measured every two days using the formula: L \\u0026times; W\\u003csup\\u003e2\\u003c/sup\\u003e/2. There were 8 mice in the vehicle group and 12 mice in both low dose group (20 mg/kg/day) and high dose group (40 mg/kg/day). At the end point of experiment, we euthanized the mice, and dissected, photographed, and weighed tumors and key organs. Tumors and organs were either preserved in 4% PFA or carried out directly to further analysis. All animal studies conformed to the guideline of experimental animal of China Pharmaceutic University.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec30\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eAcute toxicity assay\\u003c/h2\\u003e \\u003cp\\u003eSix- to eight-week-old wild-type female ICR mice were purchased from Shanghai SLAC Laboratory Animals Co. Ltd. Mice were intraperitoneally or orally administrated with various doses of ZYS-1 for single time, and body weights and conditions were recorded every two days for two consecutive weeks. Each dosing group contained 10 mice. At the end time, all mice were euthanized and key organs were dissected, weighed and kept in 4% PFA for H\\u0026amp;E staining. LD\\u003csub\\u003e50\\u003c/sub\\u003e was calculated using GraphPad Prism 8.0 software.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec31\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eRNA immunoprecipitation (RIP) assay\\u003c/h2\\u003e \\u003cp\\u003eCells were lysed in lysis buffer (100 mM KCl, 5 mM MgCl\\u003csub\\u003e2\\u003c/sub\\u003e, 10 mM Hepes pH 7.0, 1 mM DTT, 50 units/mL RNase out, 1 \\u0026times; protease inhibitor cocktail, 1 \\u0026times; PBS) at 4\\u0026deg;C for 2 h. Volume of 10% lysate was subjected to RNA isolation as input. 10 mg Protein A-Agrose beads (Sigma-Aldrich, P1406-250MG) was pre-treated with PBS three times and 2% BSA for 30 min and then incubated with 10 \\u0026micro;L lgG control, ADAR1 or RPL22 antibody at 4\\u0026deg;C for 2 h. Subsequently, beads-antibody complex was incubated with cell lysate on rotation at 4\\u0026deg;C overnight. Beads were washed with PBS and then subjected to total RNA isolation. Purified RNA was reversely transcribed followed by qRT-PCR. For anti-ADAR1 RNA immunoprecipitation, extracted RNA was subjected to library construction and RNA-sequencing (Guangzhou Genedenovo Biotechnology Co., Ltd).\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec32\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eMicroscale thermophoresis assay (MST)\\u003c/h2\\u003e \\u003cp\\u003ePurified ADAR1 was first buffer-exchanged with spin-filter concentrator (amicon 30 kDa cutoff) to the dilution buffer of following composition: 25 mM HEPES, 200 mM NaCl pH7.5. Then the protein was labeled with the Monolith NT Protein Labeling Kit RED (NanoTemper, MO-L001) according to the manufacturer\\u0026rsquo;s labeling protocol. Compounds were sequentially diluted covering the range of appropriate concentrations from 0.5 mM to 1 \\u0026micro;M. The labeled protein was mixed with the same volume of diluted compound. Samples were loaded into Monolith standard-treated capillaries and the thermophoresis was measured at 22\\u0026deg;C using 100% LED and 20% MST power on a Monolith NT.115 instrument (NanoTemper Technologies, M\\u0026uuml;nchen, Germany). Date analyses were performed with Mo.Affinity Analysis v2.2.4 and GraphPad Prism 8.0 software.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec33\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eStructure-Based Virtual Screening\\u003c/h2\\u003e \\u003cp\\u003eThe three-dimensional structure of ADAR1 protein referred to the previously reported literature (\\u003cspan citationid=\\\"CR48\\\" class=\\\"CitationRef\\\"\\u003e48\\u003c/span\\u003e), and Discovery Studio 2021 (Accelrys, CA, USA) was employed to screen the combined ligand database, which was filtered by Lipinski\\u0026rsquo;s rule of five, Veber\\u0026rsquo;s rule and the \\u0026lsquo;pan-assay interference compounds\\u0026rsquo;. The structure-based virtual screening procedure contains two programs, LibDock and CDOCKER, LibDock is a molecular docking program based on a high-throughput algorithm, while the CDOCKER is a more accurate docking method that employs ligands flexibly to match the binding pocket. Based on the virtual screening procedure, we obtained 20 compounds from the ligand database for experimental study.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec34\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eStatistical analysis\\u003c/h2\\u003e \\u003cp\\u003eThe unpaired, two-tailed Student\\u0026rsquo;s \\u003cem\\u003et\\u003c/em\\u003e test was used to compare difference between two groups carried on SPSS 22.0 software, if not specifically indicated in figure legends. For bioinformatics analysis, Student\\u0026rsquo;s \\u003cem\\u003et\\u003c/em\\u003e test and Mann-Whitney Wilcoxon test were used to compare continuous variables between two groups. Analysis of variance (ANOVA) was utilized to test the variance among multiple groups. Paired, two-tailed Student\\u0026rsquo;s \\u003cem\\u003et\\u003c/em\\u003e test was used to compare ADAR1, ADAR2, and editing levels between 16 pairs matched tumor and normal tissues in TCGA, carried on GraphPad Prism 8.0 software. Kaplan-Meier plots and log-rank tests were used for relapse-free survival analysis. The values were expressed as mean\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;SD with the numbers of replicates listed in figure legends. \\u003cem\\u003eP\\u003c/em\\u003e\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.05 was considered statistically significant.\\u003c/p\\u003e \\u003c/div\\u003e\"},{\"header\":\"Declarations\",\"content\":\"\\u003cp\\u003e\\u003cstrong\\u003eAcknowledgements\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eThis study was supported by National Natural Science Foundation of China (31970547, 82073701, 31900687), Natural Science Foundation of Jiangsu Province (BK2019040713, BK20190552, BK20190551) and the Project Program of State Key Laboratory of Natural Medicines, China Pharmaceutical University (SKLNMZZ202013). This study was also supported by Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University (No. 2020KFKT-5), and \\u0026ldquo;Double First-Class\\u0026rdquo; University Project (CPU2018GF04).\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eAuthors\\u0026rsquo; Disclosures\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eThe authors declare no competing financial interests.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eAuthors\\u0026rsquo; contributions\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eConception and design:\\u003c/strong\\u003e X. Wang, P. Yang, J. Li.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eDevelopment of methodology:\\u0026nbsp;\\u003c/strong\\u003eX. Wang, P. Yang, Y. Xiao, J. Li, Y. Zhu, Ting Zeng.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eAcquisition of data (investigation, bioinformatics data mining and process, collection of clinical samples, provided facilities, etc.):\\u0026nbsp;\\u003c/strong\\u003eX. Wang, J. Li, Y. Zhu, T. Zeng, W. Min, J. Ding, F. Huang, S. Liang, W. Kuang, K. Yuan, M. Ji, C. Sun, Y. Hou, \\u0026nbsp; L. Wang,\\u0026nbsp;Y. Jiang,\\u0026nbsp;H. Hao, Y. Xiao, P, Yang.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eAnalysis and interpretation of data (e.g., statistical analysis, bioinformatics analysis, computational analysis):\\u0026nbsp;\\u003c/strong\\u003eX. Wang, J. Li, W. Min, J. Ding, F. Huang, P. Yang.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eWriting-review and editing:\\u0026nbsp;\\u003c/strong\\u003eX. Wang, J. Li, P. Yang, H. Hao, Y. Xiao.\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eAdministrative, technical, or material support:\\u0026nbsp;\\u003c/strong\\u003eX. Wang, P. Yang, H. Hao, Y. Xiao, L. Wang.\\u003c/p\\u003e\"},{\"header\":\"References\",\"content\":\"\\u003col\\u003e\\u003cli\\u003e\\u003cspan\\u003eIslami F, Siegel RL, Jemal A. The changing landscape of cancer in the USA - opportunities for advancing prevention and treatment. Nat Rev Clin Oncol 2020;17:631\\u0026ndash;49.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eCronin R, Brooke GN, Prischi F. The role of the p90 ribosomal S6 kinase family in prostate cancer progression and therapy resistance. Oncogene 2021;40:3775\\u0026ndash;85.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eConnor MJ, Shah TT, Horan G, Bevan CL, Winkler M, Ahmed HU. Cytoreductive treatment strategies for de novo metastatic prostate cancer. Nat Rev Clin Oncol 2020;17:168\\u0026ndash;82.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eQian B, Yao Y, Liu C, Zhang J, Chen H, Li H. SU6668 modulates prostate cancer progression by downregulating MTDH/AKT signaling pathway. Int J Oncol 2017;50:1601\\u0026ndash;11.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eFournier PG, Juarez P, Jiang G, Clines GA, Niewolna M, Kim HS, et al. The TGF-β signaling regulator PMEPA1 suppresses prostate cancer metastases to bone. Cancer Cell 2015;27:809\\u0026ndash;21.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eWatson PA, Arora VK, Sawyers CL. Emerging mechanisms of resistance to androgen receptor inhibitors in prostate cancer. Nat Rev Cancer 2015;15:701\\u0026ndash;11.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eSpratt DE, Zumsteg ZS, Feng FY, Tomlins SA. Translational and clinical implications of the genetic landscape of prostate cancer. Nat Rev Clin Oncol 2016;13:597\\u0026ndash;610.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eBrighi N, Conteduca V, Lolli C, Gurioli G, Schepisi G, Palleschi M, et al. The cyclin-dependent kinases pathway as a target for prostate cancer treatment: rationale and future perspectives. Crit Rev Oncol Hematol. 2021;157:103199.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eArriaga JM, Panja S, Alshalalfa M, Zhao J, Zou M, Giacobbe A, et al. A MYC and RAS co-activation signature in localized prostate cancer drives bone metastasis and castration resistance. Nat Cancer 2020;1:1082\\u0026ndash;96.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eWelti J, Sharp A, Brooks N, Yuan W, McNair C, Chand SN, et al. Targeting the p300/CBP axis in lethal prostate cancer. Cancer Discov 2021;11:1118\\u0026ndash;37.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eRasool RU, Natesan R, Asangani IA. Toppling the HAT to treat lethal prostate cancer. Cancer Discov 2021;11:1011\\u0026ndash;3.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eGaleano F, Tomaselli S, Locatelli F, Gallo A. A-to-I RNA editing: The \\u0026ldquo;ADAR\\u0026rdquo; side of human cancer. Semin Cell Dev Biol 2012;23:244\\u0026ndash;50.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eTeoh PJ, An O, Chung TH, Chooi JY, Toh SHM, Fan S, et al. Aberrant hyperediting of the myeloma transcriptome by ADAR1 confers oncogenicity and is a marker of poor prognosis. Blood 2018;132:1304\\u0026ndash;17.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eGagnidze K, Rayon-Estrada V, Harroch S, Bulloch K, Papavasiliou FN. A new chapter in genetic medicine: RNA editing and its role in disease pathogenesis. Trends Mol Med 2018;24:294\\u0026ndash;303.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eKurkowiak M, Arcimowicz L, Chrusciel E, Urban-Wojciuk Z, Papak I, Keegan L, et al. The effects of RNA editing in cancer tissue at different stages in carcinogenesis. RNA Biol 2021;AHEAD-OF-PRINT:1\\u0026ndash;16.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eKawahara Y, Zinshteyn B, Sethupathy P, Iizasa H, Hatzigeorgiou AG, Nishikura K. Redirection of silencing targets by adenosine-to-inosine editing of miRNAs. Science 2007;315:1137\\u0026ndash;40.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eTomaselli S, Galeano F, Alon S, Raho S, Galardi S, Polito VA, et al. Modulation of microRNA editing, expression and processing by ADAR2 deaminase in glioblastoma. Genome Biol 2015;16:5.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eZhang Y, Qian H, Xu J, Gao W. ADAR, the carcinogenesis mechanisms of ADAR and related clinical applications. Ann Transl Med 2019;7:686.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eFritzell K, Xu LD, Lagergren J, Ohman M. ADARs and editing: The role of A-to-I RNA modification in cancer progression. Semin Cell Dev Biol 2018;79:123\\u0026ndash;30.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eTeoh PJ, Koh MY, Chng WJ. ADARs, RNA editing and more in hematological malignancies. Leukemia 2021;35:346\\u0026ndash;59.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eWang C, Zou J, Ma X, Wang E, Peng G. Mechanisms and implications of ADAR-mediated RNA editing in cancer. Cancer Lett 2017;411:27\\u0026ndash;34.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eNakano M, Nakajima M. Significance of A-to-I RNA editing of transcripts modulating pharmacokinetics and pharmacodynamics. Pharmacol Ther 2018;181:13\\u0026ndash;21.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eMannion N, Arieti F, Gallo A, Keegan LP, O'Connell MA. New insights into the biological role of mammalian ADARs; the RNA editing proteins. Biomolecules 2015;5:2338\\u0026ndash;62.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eQuin J, Sedmik J, Vukic D, Khan A, Keegan LP, O'Connell MA. ADAR RNA modifications, the epitranscriptome and innate immunity. Trends Biochem Sci 2021;Online ahead of print.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eFumagalli D, Gacquer D, Rothe F, Lefort A, Libert F, Brown D, et al. Principles governing A-to-I RNA editing in the breast cancer transcriptome. Cell Rep 2015;13:277\\u0026ndash;89.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eRoth SH, Danan-Gotthold M, Ben-Izhak M, Rechavi G, Cohen CJ, Louzoun Y, et al. Increased RNA editing may provide a source for autoantigens in systemic lupus erythematosus. Cell Rep 2018;23:50\\u0026ndash;7.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eXu LD, Ohman M. ADAR1 editing and its role in cancer. Genes (Basel) 2018;10:12.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eHan L, Diao L, Yu S, Xu X, Li J, Zhang R, et al. The genomic landscape and clinical relevance of A-to-I RNA editing in human cancers. Cancer Cell 2015;28:515\\u0026ndash;28.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eTan MH, Li Q, Shanmugam R, Piskol R, Kohler J, Young AN, et al. Dynamic landscape and regulation of RNA editing in mammals. Nature 2017;550:249\\u0026ndash;54.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003ePaz-Yaacov N, Bazak L, Buchumenski I, Porath HT, Danan-Gotthold M, Knisbacher BA, et al. Elevated RNA editing activity is a major contributor to transcriptomic diversity in tumors. Cell Rep 2015;13:267\\u0026ndash;76.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eRoth SH, Levanon EY, Eisenberg E. Genome-wide quantification of ADAR adenosine-to-inosine RNA editing activity. Nat Methods 2019;16:1131\\u0026ndash;8.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eMartinez HD, Jasavala RJ, Hinkson I, Fitzgerald LD, Trimmer JS, Kung HJ, et al. RNA editing of androgen receptor gene transcripts in prostate cancer cells. J Biol Chem 2008;283:29938\\u0026ndash;49.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eSalameh A, Lee AK, Cardo-Vila M, Nunes DN, Efstathiou E, Staquicini FI, et al. PRUNE2 is a human prostate cancer suppressor regulated by the intronic long noncoding RNA PCA3. Proc Natl Acad Sci U S A 2015;112:8403\\u0026ndash;8.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eMorel KL, Sheahan AV, Burkhart DL, Baca SC, Boufaied N, Liu Y, et al. EZH2 inhibition activates a dsRNA-STING-interferon stress axis that potentiates response to PD-1 checkpoint blockade in prostate cancer. Nat Cancer 2021;2:444\\u0026ndash;56.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eMehdipour P, Marhon SA, Ettayebi I, Chakravarthy A, Hosseini A, Wang Y, et al. Epigenetic therapy induces transcription of inverted SINEs and ADAR1 dependency. Nature 2020;588:169\\u0026ndash;73.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eIshizuka JJ, Manguso RT, Cheruiyot CK, Bi K, Panda A, Iracheta-Vellve A, et al. Loss of ADAR1 in tumours overcomes resistance to immune checkpoint blockade. Nature 2019;565:43\\u0026ndash;8.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eZipeto MA, Court AC, Sadarangani A, Delos Santos NP, Balaian L, Chun HJ, et al. ADAR1 activation drives leukemia stem cell self-renewal by impairing Let-7 biogenesis. Cell Stem Cell 2016;19:177\\u0026ndash;91.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eShimokawa T, Rahman MF, Tostar U, Sonkoly E, Stahle M, Pivarcsi A, et al. RNA editing of the GLI1 transcription factor modulates the output of Hedgehog signaling. RNA Biol 2013;10:321\\u0026ndash;33.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eAmin EM, Liu Y, Deng S, Tan KS, Chudgar N, Mayo MW, et al. The RNA-editing enzyme ADAR promotes lung adenocarcinoma migration and invasion by stabilizing \\u003cem\\u003eFAK\\u003c/em\\u003e. Sci Signal 2017;10: eaah3941.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eQin Y, Qiao J, Chan T, Zhu Y, Li F, Liu H, et al. Adenosine-to-Inosine RNA Editing Mediated by ADARs in Esophageal Squamous Cell Carcinoma. Cancer Res 2014;74(3):840\\u0026ndash;851.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eSun Y, Fan J, Wang B, Meng Z, Ren D, Zhao J, et al. The aberrant expression of ADAR1 promotes resistance to BET inhibitors in pancreatic cancer by stabilizing c-Myc. Am J Cancer Res 2020;10:148\\u0026ndash;63.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eDhiman G, Srivastava N, Goyal M, Rakha E, Lothion-Roy J, Mongan NP, et al. Metadherin: A therapeutic target in multiple cancers. Front Oncol 2019;9:349.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eShen M, Xie S, Rowicki M, Michel S, Wei Y, Hang X, et al. Therapeutic targeting of metadherin suppresses colorectal and lung cancer progression and metastasis. Cancer Res 2021;81:1014\\u0026ndash;25.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eChung H, Calis JJA, Wu X, Sun T, Yu Y, Sarbanes SL, et al. Human ADAR1 prevents endogenous RNA from triggering translational shutdown. Cell 2018;172:811\\u0026ndash;24.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eGannon HS, Zou T, Kiessling MK, Gao GF, Cai D, Choi PS, et al. Identification of ADAR1 adenosine deaminase dependency in a subset of cancer cells. Nat Commun 2018;9:5450.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eKung CP, Cottrell KA, Ryu S, Bramel ER, Kladney RD, Bao EA, et al. Evaluating the therapeutic potential of ADAR1 inhibition for triple-negative breast cancer. Oncogene 2021;40:189\\u0026ndash;202.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eVeliz EA, Easterwood LM, Beal PA. Substrate analogues for an RNA-editing adenosine deaminase: Mechanistic investigation and inhibitor design. J Am Chem Soc 2003;125:10867\\u0026ndash;76.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003ePark S, Doherty EE, Xie Y, Padyana AK, Fang F, Zhang Y, et al. High-throughput mutagenesis reveals unique structural features of human ADAR1. Nat Commun 2020;11:5130.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eCrews LA, Jiang Q, Zipeto MA, Lazzari E, Court AC, Ali S, et al. An RNA editing fingerprint of cancer stem cell reprogramming. J Transl Med 2015;13:52.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eDou N, Yu S, Ye X, Yang D, Li Y, Gao Y. Aberrant overexpression of ADAR1 promotes gastric cancer progression by activating mTOR/p70S6K signaling. Oncotarget 2016;7:86161\\u0026ndash;73.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eChen L, Li Y, Lin CH, Chan TH, Chow RK, Song Y, et al. Recoding RNA editing of AZIN1 predisposes to hepatocellular carcinoma. Nat Med 2013;19:209\\u0026ndash;16.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eSiegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J Clin. 2020;70:7\\u0026ndash;30.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eHe MX, Cuoco MS, Crowdis J, Bosma-Moody A, Zhang Z, Bi K, et al. Transcriptional mediators of treatment resistance in lethal prostate cancer. Nat Med 2021;27:426\\u0026ndash;33.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eWang H, Chen S, Wei J, Song G, Zhao Y. A-to-I RNA editing in cancer: From evaluating the editing level to exploring the editing effects. Front Oncol 2020;10:632187.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eChan TW, Fu T, Bahn JH, Jun HI, Lee JH, Quinones-Valdez G, et al. RNA editing in cancer impacts mRNA abundance in immune response pathways. Genome Biol 2020;21:268.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eKhan M, Sarkar D. The scope of astrocyte elevated gene-1/metadherin (AEG-1/MTDH) in cancer clinicopathology: A review. Genes (Basel). 2021;12:308.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eQi L, Song Y, Chan THM, Yang H, Lin CH, Tay DJT, et al. An RNA editing/dsRNA binding-independent gene regulatory mechanism of adars and its clinical implication in cancer. Nucleic Acids Res 2017;45:10436\\u0026ndash;51.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eSagredo EA, Blanco A, Sagredo AI, Perez P, Sepulveda-Hermosilla G, Morales F, et al. ADAR1-mediated RNA-editing of 3\\u0026prime;UTRs in breast cancer. Biol Res 2018;51:36.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eYang CC, Chen YT, Chang YF, Liu H, Kuo YP, Shih CT, et al. ADAR1-mediated 3\\u0026prime; UTR editing and expression control of antiapoptosis genes fine-tunes cellular apoptosis response. Cell Death Dis 2017;8:e2833.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eLicht K, Hartl M, Amman F, Anrather D, Janisiw MP, Jantsch MF. Inosine induces context-dependent recoding and translational stalling. Nucleic Acids Res 2019;47:3\\u0026ndash;14.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eLi L, Qian G, Zuo Y, Yuan Y, Cheng Q, Guo T, et al. Ubiquitin-dependent turnover of adenosine deaminase acting on RNA 1 (ADAR1) is required for efficient antiviral activity of type I interferon. J Biol Chem 2016;291:24974\\u0026ndash;85.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eTassinari V, Cesarini V, Tomaselli S, Ianniello Z, Silvestris DA, Ginistrelli LC, et al. ADAR1 is a new target of METTL3 and plays a pro-oncogenic role in glioblastoma by an editing-independent mechanism. Genome Biol 2021;22:51.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eYuan K, Min W, Wang X, Li J, Kuang W, Zhang F, et al. Discovery of novel and selective CDK4/6 inhibitors by pharmacophore and structure-based virtual screening. Future Medicinal Chemistry 2020;12:1121\\u0026ndash;36.\\u003c/span\\u003e\\u003c/li\\u003e \\u003cli\\u003e\\u003cspan\\u003eHuang Y, Su R, Sheng Y, Dong L, Dong Z, Xu H, et al. Small-molecule targeting of oncogenic FTO demethylase in acute myeloid leukemia. Cancer Cell 2019;35:677\\u0026ndash;91.\\u003c/span\\u003e\\u003c/li\\u003e\\u003c/ol\\u003e\"}],\"fulltextSource\":\"\",\"fullText\":\"\",\"funders\":[],\"hasAdminPriorityOnWorkflow\":false,\"hasManuscriptDocX\":true,\"hasOptedInToPreprint\":true,\"hasPassedJournalQc\":\"\",\"hasAnyPriority\":true,\"hideJournal\":true,\"highlight\":\"\",\"institution\":\"\",\"isAcceptedByJournal\":false,\"isAuthorSuppliedPdf\":false,\"isDeskRejected\":\"\",\"isHiddenFromSearch\":false,\"isInQc\":false,\"isInWorkflow\":false,\"isPdf\":false,\"isPdfUpToDate\":true,\"isWithdrawnOrRetracted\":false,\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"identity\":\"researchsquare\",\"isNatureJournal\":false,\"hasQc\":true,\"allowDirectSubmit\":true,\"externalIdentity\":\"\",\"sideBox\":\"\",\"snPcode\":\"\",\"submissionUrl\":\"/submission\",\"title\":\"Research Square\",\"twitterHandle\":\"researchsquare\",\"acdcEnabled\":true,\"dfaEnabled\":false,\"editorialSystem\":\"\",\"reportingPortfolio\":\"\",\"inReviewEnabled\":false,\"inReviewRevisionsEnabled\":true},\"keywords\":\"ADAR1, prostate cancer, small-molecule inhibitor\",\"lastPublishedDoi\":\"10.21203/rs.3.rs-879741/v1\",\"lastPublishedDoiUrl\":\"https://doi.org/10.21203/rs.3.rs-879741/v1\",\"license\":{\"name\":\"CC BY 4.0\",\"url\":\"https://creativecommons.org/licenses/by/4.0/\"},\"manuscriptAbstract\":\"\\u003cp\\u003eDespite initial response to androgen signaling therapy, most prostate cancer (PCa) patients eventually relapse and remain incurable. ADAR1-mediated A-to-G editing plays oncogenic roles in various tumors. However, the specific function of ADAR1 and the global RNA edited targets governing PCa progression remain underexplored. Here, we demonstrate that highly expressed ADAR1 as a crucial oncogenic target in PCa, and develop a novel small-molecule ADAR1 inhibitor ZYS-1 with significant anti-tumor efficacy and favorable safety profile. Either depletion or pharmacological inhibition of ADAR1 dramatically suppress PCa growth, inhibit metastasis, and potentiate immune response. We further reveal that the translation of MTDH is repressed by ADAR1 in an editing-dependent manner, which drives cell proliferation and invasion in PCa. Collectively, these results shed light on ADAR1 as a novel druggable target in PCa therapy and highlight the widespread applicability of ADAR1 inhibitors for a broad spectrum of malignancies.\\u003c/p\\u003e\",\"manuscriptTitle\":\"Targeting ADAR1 with a Novel Small-Molecule for the Treatment of Prostate Cancer\",\"msid\":\"\",\"msnumber\":\"\",\"nonDraftVersions\":[{\"code\":1,\"date\":\"2021-09-21 18:13:44\",\"doi\":\"10.21203/rs.3.rs-879741/v1\",\"editorialEvents\":[{\"type\":\"communityComments\",\"content\":3}],\"status\":\"published\",\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"identity\":\"researchsquare\",\"isNatureJournal\":false,\"hasQc\":true,\"allowDirectSubmit\":true,\"externalIdentity\":\"\",\"sideBox\":\"\",\"snPcode\":\"\",\"submissionUrl\":\"/submission\",\"title\":\"Research Square\",\"twitterHandle\":\"researchsquare\",\"acdcEnabled\":true,\"dfaEnabled\":false,\"editorialSystem\":\"\",\"reportingPortfolio\":\"\",\"inReviewEnabled\":false,\"inReviewRevisionsEnabled\":true}}],\"origin\":\"\",\"ownerIdentity\":\"8eaa4124-7f7a-4882-ab81-4389993b593e\",\"owner\":[],\"postedDate\":\"September 21st, 2021\",\"published\":true,\"recentEditorialEvents\":[],\"rejectedJournal\":[],\"revision\":\"\",\"amendment\":\"\",\"status\":\"posted\",\"subjectAreas\":[{\"id\":7349490,\"name\":\"Drug Discovery, Design, \\u0026 Development\"},{\"id\":7349491,\"name\":\"Cancer Biology\"}],\"tags\":[],\"updatedAt\":\"2021-11-19T19:10:39+00:00\",\"versionOfRecord\":[],\"versionCreatedAt\":\"2021-09-21 18:13:44\",\"video\":\"\",\"vorDoi\":\"\",\"vorDoiUrl\":\"\",\"workflowStages\":[]},\"version\":\"v1\",\"identity\":\"rs-879741\",\"journalConfig\":\"researchsquare\"},\"__N_SSP\":true},\"page\":\"/article/[identity]/[[...version]]\",\"query\":{\"redirect\":\"/article/rs-879741\",\"identity\":\"rs-879741\",\"version\":[\"v1\"]},\"buildId\":\"FbvkV6FR0MCFSLy54lSbu\",\"isFallback\":false,\"isExperimentalCompile\":false,\"dynamicIds\":[84888],\"gssp\":true,\"scriptLoader\":[]}","source_license":"CC-BY-4.0","license_restricted":false}