Increasing Stemness Drives Prostate Cancer Progression, Plasticity, Therapy Resistance and Poor Patient Survival

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Prostate cancer progression, plasticity, therapy resistance, and poor survival are driven by increasing stemness, as investigated in this study.

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This paper analyzed 87,192 transcriptomic samples from 27 datasets spanning the prostate cancer continuum, using a transcriptome-derived mRNAsi Stemness Index and a 12-gene prostate cancer–stem signature, alongside canonical and castration-reprogrammed androgen receptor activity scores and RB1-loss/PTEN-loss/MYC activity signatures. It found that although canonical AR activity rose in early tumorigenesis, it declined with increasing Gleason grade while stemness continued to increase, reaching highest stemness and lowest canonical AR activity in metastatic castration-resistant prostate cancer, a pattern also seen in Pten/Rb1/Trp53-deficient mouse models. Global stemness and the prostate cancer–stem signature were enriched in aggressive subtypes and predicted poor survival, and depletion of representative stem genes (HMMR, PBK, AURKB) reduced proliferation, invasion, and organoid formation in androgen-independent cells; a key mechanistic linkage implicated MYC activity and RB1-loss with castration-reprogrammed AR activity in driving increasing stemness during progression. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Background Cancer progression is often accompanied by dedifferentiation and acquisition of stem cell-like properties (stemness). In prostate cancer (PCa), lineage plasticity and therapy resistance remain major clinical challenges, yet a unified quantitative transcriptomic framework connecting stemness, androgen receptor (AR) signaling, castration resistance, and disease progression across the PCa continuum is lacking. Methods We performed an integrative analysis of 87,192 transcriptomic data from 27 preclinical and clinical datasets spanning the PCa continuum—from normal prostate and treatment-naïve primary PCa (Pri-PCa) to PCa treated with neoadjuvant ADT (nADT) and metastatic castration-resistant PCa (mCRPC). Tumor stemness was quantified using a transcriptome-derived mRNAsi Stemness Index (Stemness for short), and a 12-gene PCa-Stem signature was developed to capture PCa-specific stemness. Canonical AR activity (c_AR-A) and castration-reprogrammed AR activity (cr_AR-A), RB1 -loss, PTEN -loss, and MYC activity signature scores were analyzed across cohorts, with survival assessed in multiple datasets. Functional validations included MYC knockdown RNA-seq data analysis in LNCaP cells and siRNA-mediated depletion of representative PCa-Stem genes in androgen-independent LAPC4 (LAPC4-AI) cells. Results The Stemness score and c_AR-A increased concordantly during early prostate tumorigenesis but diverged with PCa progression: as Gleason grade increased, c_AR-A declined while Stemness continually increased. mCRPC exhibited the highest Stemness and lowest c_AR-A, a pattern recapitulated in Pten / Rb1 / Trp53 -deficient mouse models. Both global Stemness score and the PCa-Stem signature were enriched in aggressive PAM50-LumB and PCS1 subtypes, associated with the proliferative and lineage plasticity programs, and predicted poor survival. Depletion of representative PCa-Stem genes ( HMMR , PBK , AURKB ) suppressed proliferation, invasion and organoid formation in LAPC4-AI cells. Mechanistically, MYC activity, cr_AR-A and RB1 -loss transcriptomic signature were consistently associated with and drove pervasively increasing Stemness during PCa progression. Shared mitotic regulators linked cr_AR-A, RB1 -loss, MYC activity, and PCa-Stem to mitotic control and therapy-resistant proliferation. Conclusions The Stemness scores reported herein quantitatively capture PCa aggressiveness, plasticity, treatment resistance and progression, and prognosticates poor patient survival. Therapy-reprogrammed AR activity (cr_AR-A), RB1 loss, and MYC activation together reinforce the high-Stemness state and therapy resistance in mCRPC. Collectively, our work establishes a trajectory-integrated and scalable transcriptomic framework that defines cancer Stemness as a quantifiable clinical determinant of PCa progression, plasticity, progression, therapy resistance and patient survival.
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Abstract

Background Cancer progression is often accompanied by dedifferentiation and acquisition of stem cell-like properties (stemness). In prostate cancer (PCa), lineage plasticity and therapy resistance remain major clinical challenges, yet a unified quantitative transcriptomic framework connecting stemness, androgen receptor (AR) signaling, castration resistance, and disease progression across the PCa continuum is lacking.

Methods

We performed an integrative analysis of 87,192 transcriptomic data from 27 preclinical and clinical datasets spanning the PCa continuum—from normal prostate and treatment-naïve primary PCa (Pri-PCa) to PCa treated with neoadjuvant ADT (nADT) and metastatic castration-resistant PCa (mCRPC). Tumor stemness was quantified using a transcriptome-derived mRNAsi Stemness Index (Stemness for short), and a 12-gene PCa-Stem signature was developed to capture PCa-specific stemness. Canonical AR activity (c_AR-A) and castration-reprogrammed AR activity (cr_AR-A), RB1-loss, PTEN-loss, and MYC activity signature scores were analyzed across cohorts, with survival assessed in multiple datasets. Functional validations included MYC knockdown RNA-seq data analysis in LNCaP cells and siRNA-mediated depletion of representative PCa-Stem genes in androgen-independent LAPC4 (LAPC4-AI) cells.

Results

The Stemness score and c_AR-A increased concordantly during early prostate tumorigenesis but diverged with PCa progression: as Gleason grade increased, c_AR-A declined while Stemness continually increased. mCRPC exhibited the highest Stemness and lowest c_AR-A, a pattern recapitulated in Pten/Rb1/Trp53-deficient mouse models. Both global Stemness score and the PCa-Stem signature were enriched in aggressive PAM50-LumB and PCS1 subtypes, associated with the proliferative and lineage plasticity programs, and predicted poor survival. Depletion of representative PCa-Stem genes (HMMR, PBK, AURKB) suppressed proliferation, invasion and organoid formation in LAPC4-AI cells. Mechanistically, MYC activity, cr_AR-A and RB1-loss transcriptomic signature were consistently associated with and drove pervasively increasing Stemness during PCa progression. Shared mitotic regulators linked cr_AR-A, RB1-loss, MYC activity, and PCa-Stem to mitotic control and therapy-resistant proliferation.

Conclusions

The Stemness scores reported herein quantitatively capture PCa aggressiveness, plasticity, treatment resistance and progression, and prognosticates poor patient survival. Therapy-reprogrammed AR activity (cr_AR-A), RB1 loss, and MYC activation together reinforce the high-Stemness state and therapy resistance in mCRPC. Collectively, our work establishes a trajectory-integrated and scalable transcriptomic framework that defines cancer Stemness as a quantifiable clinical determinant of PCa progression, plasticity, progression, therapy resistance and patient survival. Competing Interest Statement The authors have declared no competing interest. Footnotes ↵† We dedicate this work to the memory of Dr. Felix Y. Feng, whose contributions to this project and the field of prostate cancer research are immeasurable. ↵# Lead contact Figures updated: added new Fig. 8 and revised Fig. 6; Supplemental files updated: added new Fig. S11 and S12, added new Table S6, and revised Fig. S7 to S10; two new authors added. This revised version substantially strengthens the mechanistic depth and experimental validation of the study and expands the integrative transcriptomic framework. We increased the total number of samples analyzed from 87,183 across 26 datasets to 87,192 across 27 datasets. Importantly, we extended the mechanistic analysis to include canonical AR activity and castration reprogrammed AR activity signature scores, together with RB1 loss, PTEN loss, and MYC activity signatures across cohorts. These additions provide a more comprehensive systems level integration of AR signaling reprogramming, tumor suppressor loss, MYC activation, and progressive elevation of prostate cancer Stemness across disease evolution. We also incorporated new functional validation experiments, including MYC knockdown RNA sequencing analysis in LNCaP cells and siRNA mediated depletion of representative PCa Stem genes in androgen independent LAPC4 cells. These data directly support the causal role of MYC activity and PCa Stem regulators in sustaining proliferation, invasion, organoid formation, and therapy resistant growth. To reflect these major additions, we introduced a new main Figure 8, new Supplementary Figures S11 and S12, and a new Supplementary Table S6. Kevin Lin and Yue Lu from the University of Texas MD Anderson Cancer Center were added as co authors for their contributions to ChIP seq analysis and mechanistic integration.

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