Discovery of Vanoxerine Dihydrochloride as a CDK2 / 4 / 6 Triple-Inhibitor for the Treatment of Human Hepatocellular Carcinoma

Discovery of Vanoxerine Dihydrochloride as a CDK2 / 4 / 6 Triple-Inhibitor for the Treatment of Human Hepatocellular Carcinoma | 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 Research article Discovery of Vanoxerine Dihydrochloride as a CDK2 / 4 / 6 Triple-Inhibitor for the Treatment of Human Hepatocellular Carcinoma Ying Zhu, Kun-Bin Ke, Zhong-Kun Xia, Hong-Jian Li, Rong Su, Chao Dong, and 14 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-29276/v3 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 12 Feb, 2021 Read the published version in Molecular Medicine → Version 3 posted 4 You are reading this latest preprint version Show more versions Abstract Background: Cyclin-dependent kinases 2/4/6 (CDK2/4/6) play critical roles in cell cycle progression, and their deregulations are hallmarks of hepatocellular carcinoma (HCC). Methods: We used the combination of computational and experimental approaches to discover a CDK2/4/6 triple-inhibitor from FDA approved small-molecule drugs for the treatment of HCC. Results: We identified vanoxerine dihydrochloride as a new CDK2/4/6 inhibitor, and a strong cytotoxic drug in human HCC QGY7703 and Huh7 cells (IC50: 3.79μM for QGY7703and 4.04μM for Huh7 cells). In QGY7703 and Huh7 cells, vanoxerine dihydrochloride treatment caused G1‑arrest, induced apoptosis, and reduced the expressions of CDK2/4/6, cyclin D/E, retinoblastoma protein (Rb), as well as the phosphorylation of CDK2/4/6 and Rb. Drug combination study indicated that vanoxerine dihydrochloride and 5-Fu produced synergistic cytotoxicity in vitro in Huh7 cells. Finally, in vivo study in BALB/C nude mice subcutaneously xenografted with Huh7 cells, vanoxerine dihydrochloride (40mg/kg, i.p.) injection for 21 days produced significant anti‑tumor activity (p<0.05), which was comparable to that achieved by 5-Fu (10mg/kg, i.p.), with the combination treatment resulted in synergistic effect. Immunohistochemistry staining of the tumor tissues also revealed significantly reduced expressions of Rb and CDK2/4/6in vanoxerine dihydrochloride treatment group. Conclusions: The present study is the first report identifying a new CDK2/4/6 triple inhibitor vanoxerine dihydrochloride, and demonstrated that this drug represents a novel therapeutic strategy for HCC treatment. Molecular Genetics Cyclin-dependent kinases 2/4/6 hepatocellular carcinoma vanoxerine dihydrochloride triple inhibitor drug combination Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Introduction Hepatocellular carcinoma (HCC), the most common type of liver cancer, is the second [ 1 ] cause of cancer-related death world-wide. Surgical resection is the first line treatment, followed by liver transplantation and percutaneous ablation. There is a high frequency of tumor recurrence after surgical resection, and most HCCs are resistant to conventional chemotherapy and radiotherapy [ 2 ]. Emerging targeted therapies have provided new treatment options [ 3 ], with sorafenib, a multitarget tyrosine kinase inhibitor (TKI) approved by FDA for the treatment of unresectable HCC. However, rapid development of drug resistance limited the uses. There is urgent need for the development of more effective drugs targeting different mechanisms. Cyclin-dependent kinases (CDKs) are important targets for cancer therapy, as they play critical roles in cell cycle and cell growth/differentiations [ 4 , 5 ]. There are two categories of CDKs. The first category, includes CDK1, CDK2, CDK4 and CDK6, regulates cell cycle progression from G0 phase to G1, and S phases [ 6 , 7 ]. The second category, includes CDK7-11 and CDK14-20, regulates gene transcription [ 8 , 9 ] and Wnt signaling [ 10 ]. CDK inhibitors have long been evaluated as cancer therapeutics [ 5 , 11-13 ].Currently, the third generation CDK4/6 dual inhibitors palbociclib, ribociclib, and abemaciclib have been approved by FDA for the treatment of breast cancer [ 14 ]. Unfortunately, they have only limited benefits for the treatment of HCC or other cancers, suggesting the need for the development of more effective CDK inhibitors. It has been demonstrated that the dysregulation of any one of the CDK2/4/6 is sufficient to cause HCC. For example, transgenic mice overexpressing either CDK2 or CDK4 or CDK6, all led to the development of liver cancer [ 15 ]. Furthermore, significantly elevated expressions of CDK2, CDK4, and CDK6 are well documented in HCC and many other cancers [ 16-19 ], and they are the causal factors for the development and progression of cancer. Therefore, a CDK2/4/6 triple-inhibitor appears to be a logical strategy for the treatment of HCC and many other cancers. We have previously reported the identification of two CDK2 inhibitors, adapaline and fluspirilene and one CDK4/6 dual inhibitor rafoxanide [ 20-22 ] by the combination of computer-aided strategies and the experimental validations. In this study, we extended these strategies to screen for CDK2/4/6 triple inhibitors from FDA approved drugs, and discovered vanoxerine dihydrochloride as a new CDK2/4/6 triple inhibitor for the treatment of HCC. Results from this study demonstrated that vanoxerine dihydrochloride exhibited strong cytotoxic effect in human HCC QGY7703 and Huh7 cells. It caused G1‑arrest, induced apoptosis, and reduced the expressions of CDK2/4/6, cyclin D/E, retinoblastoma protein (Rb). We also validated its efficacy in vivo in BALB/C nude mice xenografted subcutaneously with Huh7 cells. The anti‑tumor activity of vanoxerine dihydrochloride was comparable to that achieved by 5-Fu. Furthermore, combined administration of vanoxerine dihydrochloride and 5-Fuproduced synergistic effect. To our knowledge, this is the first report identifying a CDK2/4/6 triple inhibitor. As a FDA approved drug, the potential use of vanoxerine dihydrochloride for the treatment of HCC warrants further investigations. Materials And Methods Computer-aided structure-based virtual screening for CDK2/4/6 triple inhibitors The chemical structures of a total of 3167 US Food and Drug Administration (FDA) approved drugs were gathered from the ZINC database [ 25 , 26 ]. The X‑ray crystallographic protein structures used in the studies were obtained from the Protein Data Bank (PDB) [ 23 , 24 ]. We selected 5 structures of CDK4 and 8 structures of CDK6, and first screened for CDK4/6 inhibitors as described in our previous studies [21, 22]. The co‑crystallized ligands and water molecules were manually removed. The free and open‑source docking docking software idock v2.2.1 developed by our group [ 27 , 28 ] was used to dock all of the compounds onto all of the ATP binding pocket of all of the CDK4/6 structures using an ensemble docking strategy, to predict their binding conformations and binding affinities as described in previous study [22]. For each compound, idock outputted nine predicted conformations, and the conformation with the best idock score was selected. The 3167 compounds were sorted in the ascending order of their predicted binding free energy averaged across the 13 CDK4/6 structures, and the top-scoring 50 candidate CDK4/6 inhibitors were visually examined using iview. We also collected 14 structures of CDK2 from the 44 CDK2 structures we examined in the previous studies [20,21]. These top 50 candidate inhibitors were then docked onto all of the ATP binding pocket of CDK2 structures. The high-scoring drugs were manually examined based on molecular weight and other drug-like properties. Nine top ranking commercially available compounds were purchased and evaluated. Chemicals Monatepil, Fluazuron, Temafloxacin, Ketanserin, Talniflumate, Altanserin, Dutasteride, Mizolastine, Vanoxerine dihydrochloride, 5-Fu were purchased from Sigma‑Aldrich. Cell lines, cell culture, and experimental conditions The human HCC cell lines QGY7703 and Huh7 were obtained from Cell bank of Chinese Academy of Sciences (Shanghai, China), and cultured in D-MEM/F-12 medium (GIBCO, USA) containing 8% FBS (Hyclone, Mexico ) at 37˚C in 5% CO2 and 95% humidified air. Cells were plated in 96‑, 24‑plates (NEST, China) with medium containing 8% FBS and the test compounds at indicated concentrations (1, 3, 10 and 30μM), and incubated for indicated times (6, 12, 24, 48 or 72 h). Cell viability MTT and CCK-8 assays MTT assay were conducted as described in previous studies [ 20-22 ].QGY7703 and Huh7 cells were plated at an initial density of 9x10 3 cells/well in 96‑well plates, incubated with MTT (Sigma) reagents and the absorbance measured at 570 nm with a microplate reader (Multiskan Spectrum, Thermo Scientific Microplate Reader , USA). CCK-8 assay was performed as described in the CCK-8 Kit (Dojindo Laboratories). Cells were seeded in 96-well plate, treated with various drugs for indicated time prior to the addition of CCK-8 solution and OD values were measured at 450 nm using a microplate reader. Cell cycle analysis The cell cycle profile was determined by Flow cytometry analysis, as described previously [ 20-22 ]. Briefly, QGY7703 and Huh7 cells (4x10 4 ) were seeded in 24‑well plates in D-MEM/F-12 medium. After 24 h culture, medium were replaced with D-MEM/F-12 containing 8% FBS and vanoxerine dihydrochloride (1, 3, 10 or 30μM) and incubated at 37 0 C for indicated times (6, 12 or 24 h). At the end of experiment, cells were fixed in ice‑cold ethanol, and stained in Coulter DNA‑Prep Reagents (Beyotime Coulter, Beyotime Institute of Biotechnology, Beijing). The cellular DNA content was determined by EPICS xL4 flow cytometer (BD FACSCalibu, USA), and cell cycle distribution determined by BD FACStation software (USA). Cell apoptosis QGY7703 and Huh7 cells were seeded in 6-well platein D-MEM/F-12 medium. After 48hours culture, the medium were replaced with D-MEM/F-12 containing 8% FBS and various concentrations of vanoxerine dihydrochloride (1, 3, 10 or 30μM), and incubated at 37 0 C for indicated times (6, 12 or 24 h). Apoptosis was measured by annexinV and propidium iodide (PI) staining (Beyotime Institute of Biotechnology, Beijing) as described in previous studies [ 20-22 ]. Western blot analysis Cells were lysed and Western blotting analysis were performed as described previously [ 20-22 ].QHY7703 and Huh7 cells were plated at 6-well plates, cultured in serum starved media (0.125% FBS) at 37 0 C for 24 hours, and then with 10%FBS medium containing various concentrations (3, 10, 30μM) of vanoxerine dihydrochloride. Cells were harvested after 6 hours incubation and proteins analyzed by Western blotting. Primary antibodies were purchased from Cell Signaling Technology, Inc. Danvers, MA, USA). They include anti‑cyclin D1 (no. 2978), anti‑cyclinE (no. 4129), anti‑CDK2/4/6 (no. 2546), anti‑Rb (no. 9313), anti‑phospho‑CDK4, anti‑phospho‑CDK2/4/6 (no. 2561), anti‑Rb (no. 9301), and anti‑GAPDH (no. 5174). As positive controls, three siRNAs targeting each of the CDK2/4/6were designed as described previously [ 22 ], and used to inhibit the expressions of each of the CDK2/4/6proteins in QGY7703 and Huh7 cells. The proteins were measured using enhanced chemiluminescence detection system (Thermo Fisher scientific, USA). Synergy quantitation of the drug combination study Synergy quantitation of the drug combination studies were performed according to the Chou--Talalay method. Huh7 cells were plated at an initial density of 5x10 3 cells/well in 96‑well plates, and cells were treated with various concentrations of vanoxerine dihydrochloride and 5-Fu. After 72 hours treatment, cell viability was determined by CCK-8 assay and the absorbance values were measured at 450 nm using microplate reader. The combined effect was analyzed by CompuSyn software ( www.combosyn . com), which performs multiple drug dose-effect calculations using the Median Effects methods described by Chou and Talalay to determine the combination index (CI). The drug combinations quantitative definitions of CI are (1) CI=1 represents additive effect, (2) CI 1 represents antagonism. The formula of the combined index of the two drugs is: CI =(D)1/(Dx)1+(D)2/(Dx)2 , Single dose (D), combined dose (Dx) ) [ 29 ]. Ethic statement and the in vivo nude mice xenografted study The animal studies were approved by the Kunming Medical University’s laboratory animal ethics committee. Female BALB/C nude mice (4‑5 weeks old, weighing 15 g; Vital River Laboratory Technology Co. Ltd., Beijing, China), were housed and cared under standard conditions (pathogen‑free, 12 h light/dark cycle, 50‑80% humidity, and15‑27˚C) in accordance with guidelines from animal ethics committee in Kunming Medical University. To establish the xenografted model in nude mice (n=20), Huh7 cells (1x10 6 in 0.2 ml PBS) were subcuta­neously injected into the right flank, and tumor size measured daily. At seven days after inoculation (tumor volume 80‑100 m 3 ), mice were divided randomly to four groups (5 mice/group) and given daily intraperitoneal injection of (1) vanoxerine dihydrochloride (40mg/kg), (2) 5-Fu (10mg/kg), (3) vanoxerine dihydrochloride (40mg/kg) plus 5-Fu (10mg/kg), (4) control PBS, for 21 days. At the end of experiments, mice were sacrificed by cervical dislocation, tumors excised, weighed, images captured, and immunohistochemistry analysis performed. The tumor volume was calculated by V=ab2/2 (a=longest axis; b=shortest axis). Immunohistochemistry Tumor tissues were fixed in 10% formalin and embedded in paraffin, sliced into 4 μm sections, deparaffinized, dehydrated, antigen retrieved, blocked with 5% goat serum, and incubated in the primary antibodies: anti-RB1 (1: 500; CST), anti-CDK2 (1:50; Abcam), anti-CDK4 (1: 500; CST), anti-CDK6 (1: 100 Abcam). The slides were washed and incubated with biotinylated anti-mouse or anti-rabbit secondary antibodies. The peroxidase reaction was visualized using 3,3'-diaminobenzidine tetrahydrochloride (DAB) and counterstained with hematoxylin. To quantitate the staining intensity, 5 random fields were chosen, and the numbers of total cells and positive cells were counted in each section under a microscope at 400x magnification. The percentage of positive cell populations from the 5 random fields was analyzed for statistics. Statistical Analysis Data were obtained from the triplicates of three different experiments. Values are expressed as the mean ± standard deviation. The dates were analyzed by SPSS software (version 16.0). P<0.05wasconsideredtoindicatestatistically significant difference between values. Results Discovery of CDK2/4/6 triple-inhibitors via computer-aided structure-based virtual screening The chemical structures of a total of 3167 US Food and Drug Administration (FDA) approved drugs were gathered from the ZINC database, first docked onto the CDK4 and CDK6 structures, and then sorted in the ascending order of their predicted binding free energy. The top 50 ranking candidate CDK4/6 inhibitors were then docked onto CDK2 structures to screen for CDK2/4/6 triple inhibitors. We manually examined the high-scoring compounds based on in silico estimations of binding strength, appropriate molecular weight and other drug-like properties, and complementary matching of molecular shape. The highest-scoring compounds were identified and nine commercially available compounds (Table 1) were selected for subsequent validations [ 30-38 ] Table 1 The nineteen top-scoring compounds purchased and tested in vitro compounds name ZINC ID average idock score(kcal/mol) MW(g/Mol) clinic usage Ref. Monatepil 1851142 -9.57 475.62 Ca2+ channel antagonist [30] Fluazuron 2570819 -10.05 506.21 insecticides [31] Temafloxacin 9133461 -9.58 417.38 difluoro quinolone antimicrobial agent [32] Ketanserin 537877 -9.36 545.51 a selective 5-HT2 receptor antagonist [ 33 ] Talniflumate 1844627 -10.08 414.33 inhibitor of humancalcium-activated chloride channels [34] Altanserin 26174383 -9.58 411.49 The selective 5-hydroxytryptamine2 (5-HT2) receptor antagonist [35] Dutasteride 3932831 -9.58 528.53 Selective inhibition of type 2 5alpha-reductase [36] Mizolastine 13831810 -9.48 432.49 selective H1-receptor blocker [37] Vanoxerine dihydrochloride 22034135 -8.83 523.49 inhibitor of uptake of dopamine and norepinephrine [38] An idock score is the estimated binding free energy (kcal/mol units). Negative value implies a high predicted binding affinity . The cytotoxicity of candidate drugs on human HCC QGY7703 and Huh7 cells We first evaluated the effects of these nine compounds (monatepil、fluazuron、temafloxacin、KETANSERIN、talniflumate、altanserin、dutasteride、mizolastine、vanoxerine dihydrochloride) on reducing cell viability, as determined by MTT assay. These compounds caused reduced cell viability in QGY7703 (Fig.1A) and Huh7 cells (Fig. 1B), with vanoxerine dihydrochloride most effective. Furthermore, the inhibitory effect of vanoxerine dihydrochloride was dose‑ and time‑dependent (Fig. 1C, 1D), with the IC50 values calculated (using GraphPad Prism5) to be3.79μM for QGY7703 and 4.04μM for Huh7 cells. Vanoxerine dihydrochloride treatment caused cell cycle arrest and apoptosis in QGY7703 and Huh7 cells To demonstrate that vanoxerine dihydrochloride is a CDK2/4/6 triple inhibitor, we treated QGY7703 and Huh7 cells with vanoxerine dihydrochloride (3, 10 or 30μM) for 6, 12 or 24 h, and determined its effects on the cell cycle profiles, using flow cytometry ananlysis. As shown in Fig. 2, vanoxerine dihydrochloride treatment significantly (p<0.05) caused the G1‑phase arrest in a dose‑and time‑dependent manner in QGY7703 (Fig. 2A) and Huh7 (Fig. 2B) cells. Significantly decreased cell populations in the S-phase and G2-M phase were also observed in QGY7703 (Fig. 2C) and Huh7 (Fig. 2D) cells at 24 h after treatment. In addition, we also showed that vanoxerine dihydrochloride treatment significantly promoted cell apoptosis, as determined by flowcytometry analysis using the annexinV and propidium iodide staining. Vanoxerine dihydrochloride treatment (at 3, 10, 30μM for 6, 12, 24h) significantly increased the percentage of apoptotic cells in a dose-and time-dependent manner in QGY7703 (Fig. 3A) and Huh7 (Fig. 3 B) cells. Vanoxerine dihydrochloride decreased the expressions and phosphorylations of CDK2 /4/6 Western blotting analysis was used to measure the effects of vanoxerine dihydrochloride treatment on the expressions and phosphorylations of CDK2/4/6, the downstream target protein Rb, and their binding partners cyclinD/E, in QGY7703 and Huh7 cells. As expected of a CDK2/4/6 triple inhibitor, vanoxerine dihydrochloride significantly and dose-dependently decreased the expressions of CDK2/4/6, the pho‑CDK2/4/6, the binding partners cyclinE and cyclinD, as well as the down-stream target proteins Rb and pho‑Rb in QGY7703 (Fig.4A, 4C) and Huh7 (Fig.4B, 4D) cells. In summary, we proposed the molecular mechanisms of vanoxerine dihydrochloride (Fig. 5), in which vanoxerine dihydrochloride inhibited CDK4/6 phosphorylation, which reduced the complex of cyclinD and CDK4/6. As a CDK2 inhibitor, it also inhibited CDK2 phosphorylation, which reduced the complex of cyclinE-CDK2. Together, they caused the subsequent reduction of Rb phosphorylation as well as the activation of E2F, to inhibit G1-S transition and produce G1 arrest. In addition, it is also expected to suppress the activation of cyclinA-CDK2 complex to decrease DNA replication and cell cycle S to G2-M phase transitions, which is consistent with what we observed from the cell cycle profiles analysis. The predicted conformation s of vanoxerine dihydrochloride and CDK2/4/6 The predicted two-dimensional chemical structure of vanoxerine dihydrochloride is shown in Fig. 6A. Based on the results from computer docking, we predicted that vanoxerine dihydrochloride interacts with CDK2 and resides in the ATP-binding site of CDK2 with hydrophobic binding with ILE10, LYS33, VAL64, PHE80, ALA144, and a salt bridge with ASP145, and a halogen bond with GLU81 (Fig. 6B). It interacts with CDK4 ATP-binding site through two salt bridges with ASP104, a π interaction with LYS40, and a halogen bond with PHE98 (Fig. 6C), and interacts with CDK6 ATP binding site through a hydrogen bond with ILE19, a salt bridge with ASP104 and a π interaction with PHE98 (Fig. 6D). Results from western blotting indicated that vanoxerine dihydrochloride inhibited the activities of CDK2/4/6 with similar efficacy, suggesting that it has comparable binding affinity to all three CDKs. Vanoxerine dihydrochloride and 5-FU produced synergistic cytotoxic effects in vitro in Huh7 cells To test the potential synergistic effect of combination therapy, Huh7 cells were seeded in 96-well plates and treated with combinations of various concentrations of vanoxerine dihydrochloride (3 μM, 10 μM,30 μM) and 5-Fu (1 μM , 3 μM, 10 μM, 30 μM, 100 μM). Cell viability was determined by CCK8 assay at 72 hours after treatment (Fig. 7A-7B). The drug combination effect and the combination index (CI) were analyzed by CompuSyn software to calculate the multiple drug dose-effect using the Median Effects methods described by Chou and Talalay. The quantitative definition of drug combinations is CI = 1 for additive effect, CI 1 for antagonism. The combination of vanoxerine hydrochloride 10 μM, and 5-Fu 1 μM, 3 μM, 30 μM, 100 μM, all showed combined synergistic effect(CI﹤1). CI were also used in the combined action point diagram (Fig. 7C) to quantitatively describe the synergism and antagonism of combined drugs at a given dose-effect level. Vanoxerine dihydrochloride administration reduced the growth of xenograftedHuh7 tumors in vivo in nude mice Huh7 cells (1x10 6 cells in 0.2 ml PBS) were subcuta­neously injected into the right flank of BALB/C nude mice. When the tumors grew to 80-100 m 3 (7 days after inoculation), mice were divided randomly into 4 groups (5 mice/group), and treated daily for 21 days by i.p. injection of (1) control PBS, (2) vanoxerine dihydrochloride (40mg/kg), (3) 5-Fu (10mg/kg), (4) vanoxerine dihydrochloride (40mg/kg) plus 5-Fu (10mg/kg), and the tumor volume and body weight were recorded daily. At the end of experiments, mice were sacrificed by cervical dislocation. The tumor tissues were excised, weighed, images captured (supplement figure 3), and immunohistochemistry analysis performed. Vanoxerine dihydrochloride and 5-FU treatments both significantly reduced tumor weight (Fig. 8A) and tumor volume (Fig. 8B), with comparable efficacy, and the combination of vanoxerine dihydrochloride and 5-FU produced the strongest therapeutic effect. As shown in Fig. 8C, all treatments had no obvious effect on body weight. Immunohistochemistry staining of the tumor tissues showed significantly reduced expressions of Rb (Fig. 8D), CDK2 (Fig. 8E), CDK4 (Fig. 8F), and CDK6 (Fig. 8G) in vanoxerine dihydrochloride treatment group, as compared to control PBS treatment group. In contrast, 5-Fu did not show significant effect. Furthermore, the combination of vanoxerine dihydrochloride and 5-FU appeared to further decrease the expressions of these proteins. Discussions In recent years, a large number of CDK inhibitors have been reported. The first generation inhibitors flavopiridol, (R)-roscovitine, and olomoucine, had low individual CDK specificity, low therapeutic efficacy and high toxicity [ 39 , 40 ]. The second generation of CDK inhibitors including dinaciclib, AT7519, milciclib, TG02, CYC065 and RGB-286638 demonstrated little clinical activity [ 41-45 ]. In 2015, a selective CDK 4/6 inhibitor palbociclib was approved by FDA as the first CDK inhibitor the treatment of breast cancer [ 15 ]. However, so far, no CDK inhibitor has been approved for the treatment of HCC or other cancers, suggesting the need to find more effective drugs, and a CDK2/4/6 triple inhibitor may be a potential candidate. In this study, we used computer-aided strategy to screen for CDK2/4/6 triple inhibitors, and successfully discovered vanoxerine dihydrochloride. We propose that a CDK2/4/6 triple-inhibitor may offer some advantages over CDK4/6 dual-inhibitor in providing broader patient selection, higher efficacy, and broader types of cancers for treatment. Firstly, CDK2, CDK4, and CDK6, these three CDKs are often all elevated in clinical patient samples of many cancers. In HCC, CDK2, CDK4, and CDK6 have been shown to be elevated in 84% [ 16 ], 66.7% [ 17 ], and 46% [ 18 ] of clinical patient samples, respectively. In lung cancers, CDK2 levels were over-expressed in more than 90% [ 46 ], and CDK4/6 in more than 23% of the patient samples [ 47 , 48 ] Therefore, a CDK 2/4/6 triple inhibitor will likely be more effective than CDK4/6 dual inhibitor in these cancers. In addition, CDK2 has different and broader functions than CDK4/6. The CDK4/6 promote cell cycle G1-S phase transition through activation of cyclinD-CDK4/6 complexes[ 5 , 49 ], hyper-phosphorylation of Rb on serine and threonine residues.[ 50 ], and stimulation of the release of E2F transcription factor, which facilitates the transcription of genes required for G1‑to‑S transition and S‑phase progression. CDK2 works differently. It promotes G1-S phase transition through activation of cyclin E-CDK2 to maintain Rb phosphorylation. It also activates cyclinA-CDK2 complexes, to initiate DNA synthesis and the S phase cell cycle, and cyclin A1 has been reported to be over-expressed with highest expression at the preneoplastic stage in human HCC. HBV and HCV are two major risk factors for liver cirrhosis and HCC. Computational analysis in the protein-protein interaction network of HBV proteins has identified not only CDK4/ 6 but also CDK2 as HCC-related genes [51], and interaction network of HCV proteins has identified CDKN2A (cyclin-dependent kinase inhibitor 2A) as one of the HCC related overlapped genes [52]. Emerging evidence has strongly suggested that CDK2/4/6, in particular the CDK2, are involved in RNA modifications. As m6A RNA methylation participates in the pathogenesis of multiple diseases including cancer, the potential roles of CDK2/4/6 in m6A RNA modification in human HCC require further investigations [53]. Furthermore, CDK2 has been reported to phosphorylate the p27 KIP1 and RB proteins in cell cycle progression, the replication factors A and C in DNA replication, the NPAT in histone synthesis, and the nucleophosmin (NPM) in centrosome duplication [54]. Taken together these studies strongly suggested an important role of CDK2 in human HCC, and a CDK2/4/6 triple inhibitor, vanoxerine dihydrochloride, may have additional advantages and broader anti-cancer activities than CDK4/6 dual inhibitors for the treatment of human HCC. We compare vanoxerine dihydrochloride with two CDK2 inhibitors, Adapaline [20] and Fluspirilene [21], and one CDK4/6 dual inhibitor Rafoxanide [22] we identified from FDA approved drugs by similar strategies. Vanoxerine dihydrochloride has similar anti-cancer activities in inhibiting cell growth, with IC50 equal to 3.79μM in QGY7703 and 4.04μM in Huh7 cells. The other three compounds also have similar IC50 values (IC50 for fluspirilene is 4.01 μM in HepG2 and 3.46 μM in Huh7 cells; for adapalene is 4.43 µM in DLD1 and 7.135 µM in LoVo cells, and for rafoxanide in skin cancer is 1.09 µM in A375 cells and 1.31 µM in A431 cells). As CDK inhibitors, they all have the abilities to inhibit cell cycle progression, and induce apoptosis in cell culture models. They all are capable of reducing tumor growth in vivo in nude mice xenograted preclinical animal models. However, as a CDK2/4/6 triple inhibitor, vanoxerine dihydrochloride may have broader activity and will be effective to a larger number of cancers than CDK2 or CDK4/6 inhibitors. In addition, these compounds are different in their physical and chemical properties. Therefore, they require different drug delivery systems, suitable for the treatment of different type of cancers, and also have different side effects. We also compared vanoxerine dihydrochloride with Palbociclib [56] in terms of efficacy, cell toxicity, and animal toxicity for the treatment of HCC. In the in vivo nude mice xenografted preclinical HCC animal models, vanoxerine dihydrochloride (i.p. 40 mg/kg per day for 21 days) and Palbociclib (orally 150mg/kg every three days for 18days) both reduced tumor growth significantly. Vanoxerine dihydrochloride treatment did not caused significant change in body weight, while Palbociclib treatment produced a slight loss of body weight. In the in vitro cell culture studies, vanoxerine dihydrochloride had similar or higher cell cytotoxicity than Palbociclib in the HCC cells tested. For examples, the calculated IC50 for vanoxerine dihydrochloride was 3.79 μM in QGY7703 and 4.04 μM in Huh7 cells, while the reported IC50 for Palbociclib was 5 μM in Hep3B，10-15μMin Huh7 and >25μM in PLC5 cells. These results suggested that Palbociclib and vanoxerine dihydrochloride have comparable efficacy and toxicity for HCC treatment. Furthermore, we demonstrated the synergic effect of combining vanoxerine dihydrochloride with chemotherapy drug 5-Fu both in vitro in cell lines and in vivo in preclinical animal models. The combination therapies have already been shown to be beneficial for CDK4/6 dual inhibitors. For examples, FDA has approved the use of palbociclib in combination with fulvestrant for the treatment of hormone receptor-positive, HER2-negative metastatic breast cancer [55]. The potential additive or synergistic effect of combination therapy of vanoxerine dihydrochloride with other targeted therapies, chemotherapies, radiotherapy or immunotherapies warrant further investigations. Vanoxerine was originally developed as a dopamine transporter antagonist for the treatment of depression and Parkinson’s disease, but later failed to demonstrate significant benefit for these diseases [57-62]. The safety of vanoxerine dihydrochloride in animals have been reported by Nagase and coworkers [63]. They showed that oral administration of vanoxerine (50-250mg/kg) to male rats produced a transient increase in dopamine content of the caudate nucleus and hypothalamus, and a slight decrease of norepinephrine levels in the hypothalamus and frontal cortex. In addition, administration (20mg/kg, i.p.) of vanoxerine caused marked increase in locomotor activity [64]. In MES test (a model for generalized tonic-clonic seizures), intraperitoneal administration of vanoxerine at 80 mg/kg and above, produced toxicity with an inability to grasp a rotorod, muscle spasms, minimal motor impairment in mice [65]. The calculated TD50 (i.p.) for vanoxerine was 77.5 mg/kg in mice and 74 mg/kg in rats. In preclinical studies in nonhuman primates, the reported LD50 (oral) is 500 mg/kg [ 38 , 60 ], and no obvious toxic effects were reported following intraperitoneal (i.p.) injection at 20 mg/kg [60]. In the present study we did not observe any significant changes in the body weight of the BALB/C nude mice administered (i.p.) with vanoxerine dihydrochloride (40 mg/kg) over 21 days. Vanoxerine was later found to have desirable cardiac antiarrhythmic properties [66]. Patch clamp studies showed that it potently blocked IKr (hERG), L-type calcium and sodium channels [67]. In a phase II dose-ranging COR-ART study, vanoxerine was highly effective in converting atrial fibrillation and atrial flutter (AF/AFL) to sinus rhythm without evidence of proarrhythmia [68]. However, this drug was eventually terminated from development due to occurrence of cardiac arrhythmias including torsade de pointes (TdP) in patients with structural heart disease [69]. To the best of our knowledge, the present study was the first to report that vanoxerine dihydrochloride is a CDK2/4/6 triple inhibitor, and that vanoxerine dihydrochloride exhibited significant in vivo anti‑cancer efficacy. As a FDA approved drug, the use of vanoxerine dihydrochloride for the treatment of HCC and other cancers warrant further investigations. Conclusion In this study, we reported the discovery of a new CDK2/4/6 triple inhibitor, vanoxerine dihydrochloride. Due to the important roles of CDK2 in HCC, a CDK2/4/6 triple inhibitor may have additional advantages and broader anti-cancer activities than CDK4/6 dual inhibitors for the treatment of human HCC and other cancers. Abbreviations CDK: Cyclin-dependent kinases HCC: hepatocellular carcinoma FDA: food and drugs administration Rb: retinoblastoma protein TKI: tyrosine kinase inhibitor 5-Fu: 5-fluorouracil CDKN2A: cyclin-dependent kinase inhibitor 2A IC50: half maximal inhibitory concentration TD50: median toxic dose LD50: median lethal dose Declarations Ethical Approval and Consent to participate The animal studies were approved by the Kunming Medical University’s laboratory animal ethics committee. All authors have consented to participate. Consent for publication All authors have consented for publication. Availability of supporting data ALL of the data generated or analysed during this study are included in this published article. Competing interests The authors declare that they have no competing interests. Funding This study was supported by the Yunnan Applied Basic Res of Combined Foundation of Yunnan Province Science &Technology Dept. and Kunming Medical University (2017FE467(-186), 2018FE001(-069), 2019FE001-064), Yunnan Applied Basic Res. of Combined Foundation of Yunnan Province Science & Technology Dept, Yunnan Univ. of Chinese Medicine (2018FF001(-026), 2019FF002(-050,-040)), GuiZhou Science & Technology Department [NO. QKHJC (2017)1171], Top young talents of ten thousand talents plan in Yunnan Province（2019), the Scientific Research Foundation of Yunnan Education Department (2018JS208, 2018JS226), and General Research Projects in Yunnan Province (2019FB113), the National Natural Science Foundation of China (No.81803197, No.81903174). Authors' contributions MCL, XNS, YZ, KBK, and JGQ conceived and designed the study. YZ, KBK, ZKX, HJL, RS, CD, FMZ, LW, RC, SGW, HZ, PG, and GL performed the experiments, analyzed the data, and prepared the manuscript. KSL, MHW, JYZ, and BHJ critically reviewed the article for important intellectual content. All authors read and approved the manuscript and agree to be accountable for all aspects of the research in ensuring that the accuracy or integrity of any part of the work are appropriately investigated and resolved. Acknowledgements All the authors are thankful to the support from Biomedical Engineering Research Center of Kunming Medical University and Academy of Medical Science of Zhengzhou University. Authors' information (optional) Biomedical Engineering Research Center, Kunming Medical University, Kunming, Yunnan, China. Department of cadre medical branch, The 3rd Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China. YZ Department of Urology, The 1st Affiliated Hospital of Kunming Medical University, Kunming, China KBK Department of Pathology, Yunnan University of Chinese Medicine, Kunming, Yunnan, China. Department of Medicine, Southwest Guizhou Vocational and Technical College for Nationalities, Xingyi, Guizhou, China. XNS Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan, China MCML, ZKX, FMZ, LW, JYZ, BHJ and JGQ. References Mazzanti R, Arena U, Tassi R: Hepatocellular carcinoma: Where are we? World journal of experimental medicine 2016, 6(1):21-36. 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Shi","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA5ElEQVRIiWNgGAWjYDACZuYGICnBwAbifDCwsSNCCyNCC+OMgrRkIqwBa4Fq5/lwCImLAxgcZ2z8XFBjkdjHfvbwaxuDA8wM7IePbsCnRbKZsVl6xjEJYzaevDTrHIM7fAw8aWk38GnhB/pFmrdBQo6NIcfMOMfgGTODBI8ZXi1szIzNv4FaeNj435gZWxgcZmwgpAVoSxvEFokc48cMxGgB+qXNmgfkF4k3Zow9BmnJbIT8YnD+8OHbPDV1ifP7c4w//PhjY8fPfvgYXi0o/pIAk8QqBwHmD6SoHgWjYBSMgpEDANdPPtiY9kS3AAAAAElFTkSuQmCC","orcid":"","institution":"","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Xi-Nan","middleName":"","lastName":"Shi","suffix":""},{"id":7021629,"identity":"fada113f-8e7f-434c-ac08-7e0fe600c3c7","order_by":19,"name":"Marie Chia-mi Lin","email":"","orcid":"","institution":"Zhengzhou University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Marie","middleName":"Chia-mi","lastName":"Lin","suffix":""}],"badges":[],"createdAt":"2020-05-14 21:46:02","currentVersionCode":3,"declarations":"","doi":"10.21203/rs.3.rs-29276/v3","doiUrl":"https://doi.org/10.21203/rs.3.rs-29276/v3","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s10020-021-00269-4","type":"published","date":"2021-02-12T15:00:32+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":4758146,"identity":"9c5ec550-016b-4025-a10b-213e665755cc","added_by":"auto","created_at":"2021-01-06 18:34:04","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":353649,"visible":true,"origin":"","legend":"The effect of nine candidate CDK4/6 inhibitors on the viability of QGY7703 and Huh7 cells.\nThe effect of nine candidate compounds on the cell viability of (A) QGY7703 and (B) Huh7 cell lines as determined by MTT assay. Vanoxerine dihydrochloride exhibited the highest cyto-toxicity in both cell lines. Vanoxerine dihydrochloride reduced cell viability dose- and time-dependently in(C) QGY7703 and (D) Huh7 cell lines. IC50 values was calculated to be 3.79μM for QGY7703 and 4.04μM for Huh7. *p\u003c0.05, significantly different from the control PBS treatment group.\n","description":"","filename":"Fig1.png","url":"https://assets-eu.researchsquare.com/files/rs-29276/v3/3e816a1be6bab55098ee8380.png"},{"id":4758126,"identity":"61666456-7081-4712-bbd2-f824ba1f9db1","added_by":"auto","created_at":"2021-01-06 18:31:04","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":376072,"visible":true,"origin":"","legend":"Effect of vanoxerine dihydrochloride treatment on cell cycle distribution in QGY7703 and Huh7 cells.\n(A) QGY7703 and (B) Huh7 cells were treated with different concentrations (3, 10 and 30μM) of vanoxerine dihydrochloride for 6, 12, 24hours. Cell cycle distributions were measured by flowcytometry. Vanoxerine dihydrochloride dose- and time-dependently increased the % of cells in G1 phase, as compared to PBS control. (B) The cell cycle distributions at 24 hours after 10μM vanoxerine dihydrochloride treatment. The bar graph indicated the percentage of the G1, S and G2-M phases. *p\u003c0.05, significantly different from the control PBS treatment group.\n","description":"","filename":"Fig2.png","url":"https://assets-eu.researchsquare.com/files/rs-29276/v3/618eef3b098a68b6e630a829.png"},{"id":4758212,"identity":"aa98870a-7b4d-4c1c-a9a1-414f8ba2a2b8","added_by":"auto","created_at":"2021-01-06 18:40:04","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":209538,"visible":true,"origin":"","legend":"Vanoxerine dihydrochloride treatment induced cell apoptosis\nVanoxerine dihydrochloride treatment at at 3, 10, 30μMconcentration for 6, 12, 24h significantly increased the percentage of apoptosis in (A) QGY7703 and (B) Huh7 cell lines in a dose-and time-dependent manner. *p\u003c0.05, significantly different from the control PBS treatment group.\n","description":"","filename":"Fig3.png","url":"https://assets-eu.researchsquare.com/files/rs-29276/v3/45e52dcade89ffc30a368494.png"},{"id":4758183,"identity":"6b704b2d-b474-4e60-9938-50d660feebe2","added_by":"auto","created_at":"2021-01-06 18:37:04","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":572756,"visible":true,"origin":"","legend":"Effects of Vanoxerine dihydrochloride treatment on the expressions of proteins that play key roles in cell cycle progressions. \n(A) QHY7703 and (B) Huh7 cells were plated at 6-well plates with 0.125% FBS medium for 24 hours and then with 10%FBS medium containing various concentrations (3, 10, 30μM) of vanoxerine dihydrochloride. Cells were harvested after 6 hours incubation and proteins analyzed by Western blotting. Western blotting results showed that vanoxerine dihydrochloride treatment significantly reduced the expressions of CDK2/4/6, Rb, pho-CDK2/4/6, pho-Rb and cyclin D/E in QGY7703 and Huh7 cells. As positive controls, three siRNAs targeting each of the CDK2/4/6were designed as described previously[22], and used to inhibit the expressions of each of the CDK2/4/6proteins. *p\u003c0.05, significantly different from the control PBS treatment group.\n","description":"","filename":"Fig4.png","url":"https://assets-eu.researchsquare.com/files/rs-29276/v3/46fb0e5249b99c582d00e6d5.png"},{"id":4758130,"identity":"7e55fc45-930f-4c65-af26-5e998845e04d","added_by":"auto","created_at":"2021-01-06 18:31:04","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":209152,"visible":true,"origin":"","legend":"Mechanisms of vanoxerine dihydrochloride.\nVanoxerine dihydrochloride inhibited CDK4/6 phosphorylation and the complex with cyclinD. It also inhibited CDK2 phosphorylation and the complex with cyclinE. Together, they suppress the hyperphosphorylation of RB, and the releases of pRB from its association with transcription factor E2F. As a result, it inhibits the cell cycle to proceed from G1 to S-phase. In addition, vanoxerine dihydrochloride also reduced cyclinA-CDK2 complex, and inhibited DNA replication and decrease S and G2-M phases.\n","description":"","filename":"Fig5.png","url":"https://assets-eu.researchsquare.com/files/rs-29276/v3/62739a7945cdc0875b81a41f.png"},{"id":4758148,"identity":"5a96a66f-20a7-40d6-b560-0f87c464ef59","added_by":"auto","created_at":"2021-01-06 18:34:04","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":489060,"visible":true,"origin":"","legend":"Structural analysis of the predicted conformation of vanoxerine dihydrochloride in CDK2/4/6 revealed critical binding interactions\n(A) The depicted two-dimensional structure of vanoxerine dihydrochloride. The predicted binding conformation in complex with (B) CDK2, (C) CDK4, and (D) CDK6. According to the docking result, vanoxerine dihydrochloride binds to CDK2 through hydrophobic contacts with ILE10, LYS33, VAL64, PHE80 and ALA144, a salt bridge with ASP145 and a halogen bond with GLU81. It interacts with CDK4 through two salt bridges with ASP104, a π interaction with LYS40, and a halogen bond with PHE98. It binds to CDK6 through a hydrogen bond with ILE19, a salt bridge with ASP104 and a π interaction with PHE98.\n","description":"","filename":"Fig6.png","url":"https://assets-eu.researchsquare.com/files/rs-29276/v3/09ee41203494ce70cd16c1c4.png"},{"id":4758184,"identity":"74966c47-3ff5-4156-a22b-db3fcb779e1a","added_by":"auto","created_at":"2021-01-06 18:37:04","extension":"png","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":189478,"visible":true,"origin":"","legend":"Combination of vanoxerine dihydrochloride and 5-FU produced synergistic cytotoxic effects in Huh7 cells.\nHuh7 cells were seeded in 96-well plates, and treated with indicated concentrations of vanoxerine dihydrochloride and 5-Fu. (A) Cell viability was detected by CCK8 after 72 hours treatment. (B) The combined effect was analyzed by CompuSyn software analysis of the Combination Index (CI) of the combined action. (C) A dot plot of the combined action of vanoxerine dihydrochloride and 5-Fu. \n","description":"","filename":"Fig7.png","url":"https://assets-eu.researchsquare.com/files/rs-29276/v3/d09460833bb806bd382acbe5.png"},{"id":4758131,"identity":"58999c8d-81f5-4be3-aa46-76bd48782715","added_by":"auto","created_at":"2021-01-06 18:31:04","extension":"png","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":1530804,"visible":true,"origin":"","legend":"Vanoxerine dihydrochloride and 5-FU treatments reduced tumor growth in vivo in nude mice xenografted with Huh7 cells\nBALB/C nude mice xenografted with Huh7 cells were treated with vanoxerine dihydrochloride (40mg/kg), 5-Fu (10mg/kg), vanoxerine dihydrochloride (40mg/kg) plus 5-Fu (10mg/kg), and PBS for 21 days by daily i.p. injections. (A) Tumor volumes. (B) Tumor weight as compared to control at day 21 after treatment. (C) Body weight. (D-G) The representative pictures of immunohistochemistry staining of the xenografted tumor tissues for (D) Rb, (E) CDK2, (F) CDK4, and (G) CDK6 expressions. **p＜0.01, significantly different from the control PBS treatment group.\n","description":"","filename":"Fig8.png","url":"https://assets-eu.researchsquare.com/files/rs-29276/v3/7528144c2af5e3d2efdc7e09.png"},{"id":13643876,"identity":"6cafffe9-4ea7-4e2f-a7c7-055ea1b4ff7d","added_by":"auto","created_at":"2021-09-17 09:13:30","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3679913,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-29276/v3/42a21b3e-bdce-43a0-b980-334367974739.pdf"}],"financialInterests":"","formattedTitle":"Discovery of Vanoxerine Dihydrochloride as a CDK2 / 4 / 6 Triple-Inhibitor for the Treatment of Human Hepatocellular Carcinoma","fulltext":[{"header":"Introduction","content":"\u003cp\u003eHepatocellular carcinoma (HCC), the most common type of liver cancer, is the second [\u003ca href=\"#_ENREF_1\"\u003e1\u003c/a\u003e] cause of cancer-related death world-wide. Surgical resection is the first line treatment, followed by liver transplantation and percutaneous ablation. There is a high frequency of tumor recurrence after surgical resection, and most HCCs are resistant to conventional chemotherapy and radiotherapy [\u003ca href=\"#_ENREF_2\"\u003e2\u003c/a\u003e]. Emerging targeted therapies have provided new treatment options [\u003ca href=\"#_ENREF_3\"\u003e3\u003c/a\u003e], with sorafenib, a multitarget tyrosine kinase inhibitor (TKI) approved by FDA for the treatment of unresectable HCC. However, rapid development of drug resistance limited the uses. There is urgent need for the development of more effective drugs targeting different mechanisms.\u003c/p\u003e\n\u003cp\u003eCyclin-dependent kinases (CDKs) are important targets for cancer therapy, as they play critical roles in cell cycle and cell growth/differentiations [\u003ca href=\"#_ENREF_4\"\u003e4\u003c/a\u003e, \u003ca href=\"#_ENREF_5\"\u003e5\u003c/a\u003e]. There are two categories of CDKs. The first category, includes CDK1, CDK2, CDK4 and CDK6, regulates cell cycle progression from G0 phase to G1, and S phases [\u003ca href=\"#_ENREF_6\"\u003e6\u003c/a\u003e, \u003ca href=\"#_ENREF_7\"\u003e7\u003c/a\u003e]. The second category, includes CDK7-11 and CDK14-20, regulates gene transcription [\u003ca href=\"#_ENREF_8\"\u003e8\u003c/a\u003e, \u003ca href=\"#_ENREF_9\"\u003e9\u003c/a\u003e] and Wnt signaling [\u003ca href=\"#_ENREF_10\"\u003e10\u003c/a\u003e]. CDK inhibitors have long been evaluated as cancer therapeutics [\u003ca href=\"#_ENREF_5\"\u003e5\u003c/a\u003e, \u003ca href=\"#_ENREF_11\"\u003e11-13\u003c/a\u003e].Currently, the third generation CDK4/6 dual inhibitors palbociclib, ribociclib, and abemaciclib have been approved by FDA for the treatment of breast cancer [\u003ca href=\"#_ENREF_14\"\u003e14\u003c/a\u003e]. Unfortunately, they have only limited benefits for the treatment of HCC or other cancers, suggesting the need for the development of more effective CDK inhibitors.\u003c/p\u003e\n\u003cp\u003eIt has been demonstrated that the dysregulation of any one of the CDK2/4/6 is sufficient to cause HCC. For example, transgenic mice overexpressing either CDK2 or CDK4 or CDK6, all led to the development of liver cancer [\u003ca href=\"#_ENREF_15\"\u003e15\u003c/a\u003e]. Furthermore, significantly elevated expressions of CDK2, CDK4, and CDK6 are well documented in HCC and many other cancers [\u003ca href=\"#_ENREF_16\"\u003e16-19\u003c/a\u003e], and they are the causal factors for the development and progression of cancer. Therefore, a CDK2/4/6 triple-inhibitor appears to be a logical strategy for the treatment of HCC and many other cancers.\u003c/p\u003e\n\u003cp\u003eWe have previously reported the identification of two CDK2 inhibitors, adapaline and fluspirilene and one CDK4/6 dual inhibitor rafoxanide [\u003ca href=\"#_ENREF_20\"\u003e20-22\u003c/a\u003e] by the combination of computer-aided strategies and the experimental validations. In this study, we extended these strategies to screen for CDK2/4/6 triple inhibitors from FDA approved drugs, and discovered vanoxerine dihydrochloride as a new CDK2/4/6 triple inhibitor for the treatment of HCC. Results from this study demonstrated that vanoxerine dihydrochloride exhibited strong cytotoxic effect in human HCC QGY7703 and Huh7 cells. It caused G1‑arrest, induced apoptosis, and reduced the expressions of CDK2/4/6, cyclin D/E, retinoblastoma protein (Rb). We also validated its efficacy \u003cem\u003ein vivo \u003c/em\u003ein BALB/C nude mice xenografted subcutaneously with Huh7 cells. The anti‑tumor activity of vanoxerine dihydrochloride was comparable to that achieved by 5-Fu. Furthermore, combined administration of vanoxerine dihydrochloride and 5-Fuproduced synergistic effect.\u003c/p\u003e\n\u003cp\u003eTo our knowledge, this is the first report identifying a CDK2/4/6 triple inhibitor. As a FDA approved drug, the potential use of vanoxerine dihydrochloride for the treatment of HCC warrants further investigations.\u003c/p\u003e"},{"header":"Materials And Methods","content":"\u003cp\u003e\u003cstrong\u003eComputer-aided structure-based virtual screening for CDK2/4/6 triple inhibitors\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe chemical structures of a total of 3167 US Food and Drug Administration (FDA) approved drugs were gathered from the ZINC database [\u003ca href=\"#_ENREF_25\"\u003e25\u003c/a\u003e, \u003ca href=\"#_ENREF_26\"\u003e26\u003c/a\u003e]. The X‑ray crystallographic protein structures used in the studies were obtained from the Protein Data Bank (PDB) [\u003ca href=\"#_ENREF_23\"\u003e23\u003c/a\u003e, \u003ca href=\"#_ENREF_24\"\u003e24\u003c/a\u003e]. We selected 5 structures of CDK4 and 8 structures of CDK6, and first screened for CDK4/6 inhibitors as described in our previous studies [21, 22]. The co‑crystallized ligands and water molecules were manually removed. The free and open‑source docking docking software idock v2.2.1 developed by our group [\u003ca href=\"#_ENREF_27\"\u003e27\u003c/a\u003e, \u003ca href=\"#_ENREF_28\"\u003e28\u003c/a\u003e] was used to dock all of the compounds onto all of the ATP binding pocket of all of the CDK4/6 structures using an ensemble docking strategy, to predict their binding conformations and binding affinities as described in previous study [22]. For each compound, idock outputted nine predicted conformations, and the conformation with the best idock score was selected. The 3167 compounds were sorted in the ascending order of their predicted binding free energy averaged across the 13 CDK4/6 structures, and the top-scoring 50 candidate CDK4/6 inhibitors were visually examined using iview. We also collected 14 structures of CDK2 from the 44 CDK2 structures we examined in the previous studies [20,21]. These top 50 candidate inhibitors were then docked onto all of the ATP binding pocket of CDK2 structures. The high-scoring drugs were manually examined based on molecular weight and other drug-like properties. Nine top ranking commercially available compounds were purchased and evaluated.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eChemicals\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMonatepil, Fluazuron, Temafloxacin, Ketanserin, Talniflumate, Altanserin, Dutasteride, Mizolastine, Vanoxerine dihydrochloride, 5-Fu were purchased from Sigma‑Aldrich.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCell lines, cell culture, and experimental conditions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe human HCC cell lines QGY7703 and Huh7 were obtained from Cell bank of \u003ca href=\"https://cn.bing.com/dict/search?q=Chinese\u0026amp;FORM=BDVSP6\u0026amp;mkt=zh-cn\"\u003eChinese\u003c/a\u003e \u003ca href=\"https://cn.bing.com/dict/search?q=Academy\u0026amp;FORM=BDVSP6\u0026amp;mkt=zh-cn\"\u003eAcademy\u003c/a\u003e \u003ca href=\"https://cn.bing.com/dict/search?q=of\u0026amp;FORM=BDVSP6\u0026amp;mkt=zh-cn\"\u003eof\u003c/a\u003e \u003ca href=\"https://cn.bing.com/dict/search?q=Sciences\u0026amp;FORM=BDVSP6\u0026amp;mkt=zh-cn\"\u003eSciences\u003c/a\u003e (Shanghai, China), and cultured in D-MEM/F-12 medium (GIBCO, USA) containing 8% FBS (Hyclone, \u003ca href=\"https://cn.bing.com/dict/search?q=Mexico\u0026amp;FORM=BDVSP6\u0026amp;mkt=zh-cn\"\u003eMexico\u003c/a\u003e) at 37˚C in 5% CO2 and 95% humidified air. Cells were plated in 96‑, 24‑plates (NEST, China) with medium containing 8% FBS and the test compounds at indicated concentrations (1, 3, 10 and 30\u0026mu;M), and incubated for indicated times (6, 12, 24, 48 or 72 h).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCell viability MTT and CCK-8 assays\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMTT assay were conducted as described in previous studies [\u003ca href=\"#_ENREF_20\"\u003e20-22\u003c/a\u003e].QGY7703 and Huh7 cells were plated at an initial density of 9x10\u003csup\u003e3\u003c/sup\u003ecells/well in 96‑well plates, incubated with MTT (Sigma) reagents and the absorbance measured at 570 nm with a microplate reader (Multiskan Spectrum, Thermo Scientific \u003cem\u003eMicroplate Reader\u003c/em\u003e, USA). CCK-8 assay was performed as described in the CCK-8 Kit (Dojindo Laboratories). Cells were seeded in 96-well plate, treated with various drugs for indicated time prior to the addition of CCK-8 solution and OD values were measured at 450 nm using a microplate reader.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCell cycle analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe cell cycle profile was determined by Flow cytometry analysis, as described previously [\u003ca href=\"#_ENREF_20\"\u003e20-22\u003c/a\u003e]. Briefly, QGY7703 and Huh7 cells (4x10\u003csup\u003e4\u003c/sup\u003e) were seeded in 24‑well plates in D-MEM/F-12 medium. After 24 h culture, medium were replaced with D-MEM/F-12 containing 8% FBS and vanoxerine dihydrochloride (1, 3, 10 or 30\u0026mu;M) and incubated at 37\u003csup\u003e0\u003c/sup\u003eC for indicated times (6, 12 or 24 h). At the end of experiment, cells were fixed in ice‑cold ethanol, and stained in Coulter DNA‑Prep Reagents (Beyotime Coulter, Beyotime Institute of Biotechnology, Beijing). The cellular DNA content was determined by EPICS xL4 flow cytometer (BD FACSCalibu, USA), and cell cycle distribution determined by BD FACStation software (USA).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCell apoptosis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eQGY7703 and Huh7 cells were seeded in 6-well platein D-MEM/F-12 medium. After 48hours culture, the medium were replaced with D-MEM/F-12 containing 8% FBS and various concentrations of vanoxerine dihydrochloride (1, 3, 10 or 30\u0026mu;M), and incubated at 37\u003csup\u003e0\u003c/sup\u003eC for indicated times (6, 12 or 24 h). Apoptosis was measured by annexinV and propidium iodide (PI) staining (Beyotime Institute of Biotechnology, Beijing) as described in previous studies [\u003ca href=\"#_ENREF_20\"\u003e20-22\u003c/a\u003e].\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eWestern blot analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eCells were lysed and Western blotting analysis were performed as described previously [\u003ca href=\"#_ENREF_20\"\u003e20-22\u003c/a\u003e].QHY7703 and Huh7 cells were plated at 6-well plates, cultured in serum starved media (0.125% FBS) at 37\u003csup\u003e0\u003c/sup\u003eC for 24 hours, and then with 10%FBS medium containing various concentrations (3, 10, 30\u0026mu;M) of vanoxerine dihydrochloride. Cells were harvested after 6 hours incubation and proteins analyzed by Western blotting. Primary antibodies were purchased from Cell Signaling Technology, Inc. Danvers, MA, USA). They include anti‑cyclin D1 (no. 2978), anti‑cyclinE (no. 4129), anti‑CDK2/4/6 (no. 2546), anti‑Rb (no. 9313), anti‑phospho‑CDK4, anti‑phospho‑CDK2/4/6 (no. 2561), anti‑Rb (no. 9301), and anti‑GAPDH (no. 5174). As positive controls, three siRNAs targeting each of the CDK2/4/6were designed as described previously [\u003ca href=\"#_ENREF_22\"\u003e22\u003c/a\u003e], and used to inhibit the expressions of each of the CDK2/4/6proteins in QGY7703 and Huh7 cells. The proteins were measured using enhanced chemiluminescence detection system (Thermo Fisher scientific, USA).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSynergy quantitation of the drug combination study\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eSynergy quantitation of the drug combination studies were performed according to the Chou--Talalay method. Huh7 cells were plated at an initial density of 5x10\u003csup\u003e3\u003c/sup\u003ecells/well in 96‑well plates, and cells were treated with various concentrations of vanoxerine dihydrochloride and 5-Fu. After 72 hours treatment, cell viability was determined by CCK-8 assay and the absorbance values were measured at 450 nm using microplate reader. The combined effect was analyzed by CompuSyn software (\u003ca href=\"http://www.combosyn\"\u003ewww.combosyn\u003c/a\u003e. com), which performs multiple drug dose-effect calculations using the Median Effects methods described by Chou and Talalay to determine the combination index (CI). The drug combinations quantitative definitions of CI are (1) CI=1 represents additive effect, (2) CI \u0026lt; 1represents synergistic effect, and (3) CI \u0026gt; 1 represents antagonism. The formula of the combined index of the two drugs is: CI =(D)1/(Dx)1+(D)2/(Dx)2 , Single dose (D), combined dose (Dx) ) [\u003ca href=\"#_ENREF_29\"\u003e29\u003c/a\u003e].\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthic statement and the \u003c/strong\u003e\u003cstrong\u003e\u003cem\u003ein vivo \u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003enude mice xenografted study\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe animal studies were approved by the Kunming Medical University\u0026rsquo;s laboratory animal ethics committee. Female BALB/C nude mice (4‑5 weeks old, weighing 15 g; Vital River Laboratory Technology Co. Ltd., Beijing, China), were housed and cared under standard conditions (pathogen‑free, 12 h light/dark cycle, 50‑80% humidity, and15‑27˚C) in accordance with guidelines from animal ethics committee in Kunming Medical University. To establish the xenografted model in nude mice (n=20), Huh7 cells (1x10\u003csup\u003e6\u003c/sup\u003ein 0.2 ml PBS) were subcuta\u0026shy;neously injected into the right flank, and tumor size measured daily. At seven days after inoculation (tumor volume 80‑100 m\u003csup\u003e3\u003c/sup\u003e), mice were divided randomly to four groups (5 mice/group) and given daily intraperitoneal injection of (1) vanoxerine dihydrochloride (40mg/kg), (2) 5-Fu (10mg/kg), (3) vanoxerine dihydrochloride (40mg/kg) plus 5-Fu (10mg/kg), (4) control PBS, for 21 days. At the end of experiments, mice were sacrificed by cervical dislocation, tumors excised, weighed, images captured, and immunohistochemistry analysis performed. The tumor volume was calculated by V=ab2/2 (a=longest axis; b=shortest axis).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eImmunohistochemistry\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTumor tissues were fixed in 10% formalin and embedded in paraffin, sliced into 4 \u0026mu;m sections, deparaffinized, dehydrated, antigen retrieved, blocked with 5% goat serum, and incubated in the primary antibodies: anti-RB1 (1: 500; CST), anti-CDK2 (1:50; Abcam), anti-CDK4 (1: 500; CST), anti-CDK6 (1: 100 Abcam). The slides were washed and incubated with biotinylated anti-mouse or anti-rabbit secondary antibodies. The peroxidase reaction was visualized using 3,3'-diaminobenzidine tetrahydrochloride (DAB) and counterstained with hematoxylin. To quantitate the staining intensity, 5 random fields were chosen, and the numbers of total cells and positive cells were counted in each section under a microscope at 400x magnification. The percentage of positive cell populations from the 5 random fields was analyzed for statistics.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStatistical Analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eData were obtained from the triplicates of three different experiments. Values are expressed as the mean \u0026plusmn; standard deviation. The dates were analyzed by SPSS software (version 16.0). P\u0026lt;0.05wasconsideredtoindicatestatistically significant difference between values.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003e\u003cstrong\u003eDiscovery of CDK2/4/6 triple-inhibitors via computer-aided structure-based virtual screening\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe chemical structures of a total of 3167 US Food and Drug Administration (FDA) approved drugs were gathered from the ZINC database, first docked onto the CDK4 and CDK6 structures, and then sorted in the ascending order of their predicted binding free energy. The top 50 ranking candidate CDK4/6 inhibitors were then docked onto CDK2 structures to screen for CDK2/4/6 triple inhibitors. We manually examined the high-scoring compounds based on \u003cem\u003ein silico \u003c/em\u003eestimations of binding strength, appropriate molecular weight and other drug-like properties, and complementary matching of molecular shape. The highest-scoring compounds were identified and nine commercially available compounds (Table 1) were selected for subsequent validations [\u003ca href=\"#_ENREF_30\"\u003e30-38\u003c/a\u003e]\u003c/p\u003e\u003ctable style=\"width: 4.3e+2pt;border: none;border-collapse:collapse;\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" style=\"width:426.1pt;padding:0in 5.4pt 0in 5.4pt;height:16.5pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;text-indent:24.1pt;line-height: 150%;\"\u003e\u003cstrong\u003e\u003cspan style='font-family:\"Calibri\",sans-serif;color:black;'\u003eTable 1 The nineteen top-scoring compounds purchased and tested \u003cem\u003ein vitro\u003c/em\u003e\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:81.35pt;border-top:solid windowtext 1.0pt;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:none;padding:0in 5.4pt 0in 5.4pt;height:24.75pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003ecompounds name\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:43.85pt;border-top:solid windowtext 1.0pt;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:none;padding:0in 5.4pt 0in 5.4pt;height:24.75pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:10px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003eZINC ID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:58.25pt;border-top:solid windowtext 1.0pt;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:none;padding:0in 5.4pt 0in 5.4pt;height:24.75pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:10px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003eaverage idock score(kcal/mol)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:44.0pt;border-top:solid windowtext 1.0pt;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:none;padding:0in 5.4pt 0in 5.4pt;height:24.75pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003eMW(g/Mol)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 149.25pt;border-top: 1pt solid windowtext;border-left: none;border-bottom: 1pt solid windowtext;border-right: none;padding: 0in 5.4pt;height: 24.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:10px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003eclinic usage\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 37.6pt;border-top: 1pt solid windowtext;border-left: none;border-bottom: 1pt solid windowtext;border-right: none;padding: 0in 5.4pt;height: 24.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003eRef.\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"border:none;padding:0in 0in 0in 0in;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;\"\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:81.35pt;padding:0in 5.4pt 0in 5.4pt;height:21.0pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003eMonatepil\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:43.85pt;padding:0in 5.4pt 0in 5.4pt;height:21.0pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:10px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e1851142\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:58.25pt;padding:0in 5.4pt 0in 5.4pt;height:21.0pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e-9.57\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:44.0pt;padding:0in 5.4pt 0in 5.4pt;height:21.0pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e475.62\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:149.25pt;padding:0in 5.4pt 0in 5.4pt;height:21.0pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:10px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003eCa2+ channel antagonist\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:37.6pt;padding:0in 5.4pt 0in 5.4pt;height:21.0pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003csup\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e[30]\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"border:none;padding:0in 0in 0in 0in;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;\"\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:81.35pt;padding:0in 5.4pt 0in 5.4pt;height:21.0pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003eFluazuron\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:43.85pt;padding:0in 5.4pt 0in 5.4pt;height:21.0pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:10px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e2570819\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:58.25pt;padding:0in 5.4pt 0in 5.4pt;height:21.0pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e-10.05\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:44.0pt;padding:0in 5.4pt 0in 5.4pt;height:21.0pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e506.21\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:149.25pt;padding:0in 5.4pt 0in 5.4pt;height:21.0pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:10px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003einsecticides\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:37.6pt;padding:0in 5.4pt 0in 5.4pt;height:21.0pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003csup\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e[31]\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"border:none;padding:0in 0in 0in 0in;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;\"\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:81.35pt;padding:0in 5.4pt 0in 5.4pt;height:.25in;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003eTemafloxacin\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:43.85pt;padding:0in 5.4pt 0in 5.4pt;height:.25in;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:10px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e9133461\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:58.25pt;padding:0in 5.4pt 0in 5.4pt;height:.25in;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e-9.58\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:44.0pt;padding:0in 5.4pt 0in 5.4pt;height:.25in;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e417.38\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:149.25pt;padding:0in 5.4pt 0in 5.4pt;height:.25in;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:10px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003edifluoro quinolone antimicrobial agent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:37.6pt;padding:0in 5.4pt 0in 5.4pt;height:.25in;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003csup\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e[32]\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"border:none;padding:0in 0in 0in 0in;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;\"\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:81.35pt;padding:0in 5.4pt 0in 5.4pt;height:24.0pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003eKetanserin\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:43.85pt;padding:0in 5.4pt 0in 5.4pt;height:24.0pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:10px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e537877\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:58.25pt;padding:0in 5.4pt 0in 5.4pt;height:24.0pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e-9.36\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:44.0pt;padding:0in 5.4pt 0in 5.4pt;height:24.0pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e545.51\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:149.25pt;padding:0in 5.4pt 0in 5.4pt;height:24.0pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:10px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003ea selective 5-HT2 receptor antagonist\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:37.6pt;padding:0in 5.4pt 0in 5.4pt;height:24.0pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003csup\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e[\u003c/span\u003e\u003c/sup\u003e\u003csup\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e33\u003c/span\u003e\u003c/sup\u003e\u003csup\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e]\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"border:none;padding:0in 0in 0in 0in;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;\"\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:81.35pt;padding:0in 5.4pt 0in 5.4pt;height:20.25pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003eTalniflumate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:43.85pt;padding:0in 5.4pt 0in 5.4pt;height:20.25pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:10px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e1844627\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:58.25pt;padding:0in 5.4pt 0in 5.4pt;height:20.25pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e-10.08\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:44.0pt;padding:0in 5.4pt 0in 5.4pt;height:20.25pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e414.33\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:149.25pt;padding:0in 5.4pt 0in 5.4pt;height:20.25pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:10px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003einhibitor\u0026nbsp;of\u0026nbsp;humancalcium-activated chloride channels\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:37.6pt;padding:0in 5.4pt 0in 5.4pt;height:20.25pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003csup\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e[34]\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"border:none;padding:0in 0in 0in 0in;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;\"\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:81.35pt;padding:0in 5.4pt 0in 5.4pt;height:21.0pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003eAltanserin\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:43.85pt;padding:0in 5.4pt 0in 5.4pt;height:21.0pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:10px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e26174383\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:58.25pt;padding:0in 5.4pt 0in 5.4pt;height:21.0pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e-9.58\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:44.0pt;padding:0in 5.4pt 0in 5.4pt;height:21.0pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e411.49\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:149.25pt;padding:0in 5.4pt 0in 5.4pt;height:21.0pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:10px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003eThe selective 5-hydroxytryptamine2 (5-HT2) receptor antagonist\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:37.6pt;padding:0in 5.4pt 0in 5.4pt;height:21.0pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003csup\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e[35]\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"border:none;padding:0in 0in 0in 0in;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;\"\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:81.35pt;padding:0in 5.4pt 0in 5.4pt;height:25.5pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003eDutasteride\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:43.85pt;padding:0in 5.4pt 0in 5.4pt;height:25.5pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:10px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e3932831\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:58.25pt;padding:0in 5.4pt 0in 5.4pt;height:25.5pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e-9.58\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:44.0pt;padding:0in 5.4pt 0in 5.4pt;height:25.5pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e528.53\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:149.25pt;padding:0in 5.4pt 0in 5.4pt;height:25.5pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:10px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003eSelective inhibition of type 2 5alpha-reductase\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:37.6pt;padding:0in 5.4pt 0in 5.4pt;height:25.5pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003csup\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e[36]\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"border:none;padding:0in 0in 0in 0in;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;\"\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:81.35pt;padding:0in 5.4pt 0in 5.4pt;height:18.75pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003eMizolastine\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:43.85pt;padding:0in 5.4pt 0in 5.4pt;height:18.75pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:10px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e13831810\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:58.25pt;padding:0in 5.4pt 0in 5.4pt;height:18.75pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e-9.48\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:44.0pt;padding:0in 5.4pt 0in 5.4pt;height:18.75pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e432.49\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:149.25pt;padding:0in 5.4pt 0in 5.4pt;height:18.75pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:10px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003eselective H1-receptor blocker\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:37.6pt;padding:0in 5.4pt 0in 5.4pt;height:18.75pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003csup\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e[37]\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"border:none;padding:0in 0in 0in 0in;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;\"\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:81.35pt;padding:0in 5.4pt 0in 5.4pt;height:35.25pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003eVanoxerine dihydrochloride\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:43.85pt;padding:0in 5.4pt 0in 5.4pt;height:35.25pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:10px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e22034135\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:58.25pt;padding:0in 5.4pt 0in 5.4pt;height:35.25pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e-8.83\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:44.0pt;padding:0in 5.4pt 0in 5.4pt;height:35.25pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e523.49\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:149.25pt;padding:0in 5.4pt 0in 5.4pt;height:35.25pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003cspan style='font-size:10px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003einhibitor of uptake of dopamine and norepinephrine\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:37.6pt;padding:0in 5.4pt 0in 5.4pt;height:35.25pt;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;text-align:justify;line-height:150%;\"\u003e\u003csup\u003e\u003cspan style='font-size:12px;line-height:150%;font-family:\"Calibri\",sans-serif;color:black;'\u003e[38]\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"border:none;padding:0in 0in 0in 0in;\"\u003e\n \u003cp style=\"margin:0in;font-size:16px;font-family:SimSun;\"\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan style='font-size:16px;font-family:\"Calibri\",sans-serif;color:black;'\u003eAn idock score is the estimated binding free energy (kcal/mol units). Negative value implies a high predicted binding affinity\u003c/span\u003e\u003c/strong\u003e\u003cspan style='font-size:16px;font-family:\"Calibri\",sans-serif;color:black;'\u003e.\u003c/span\u003e\u003c/p\u003e\n\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eThe cytotoxicity of candidate drugs on human HCC QGY7703 and Huh7 cells\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe first evaluated the effects of these nine compounds (monatepil、fluazuron、temafloxacin、KETANSERIN、talniflumate、altanserin、dutasteride、mizolastine、vanoxerine dihydrochloride) on reducing cell viability, as determined by MTT assay. These compounds caused reduced cell viability in QGY7703 (Fig.1A) and Huh7 cells (Fig. 1B), with vanoxerine dihydrochloride most effective. Furthermore, the inhibitory effect of vanoxerine dihydrochloride was dose‑ and time‑dependent (Fig. 1C, 1D), with the IC50 values calculated (using GraphPad Prism5) to be3.79\u0026mu;M for QGY7703 and 4.04\u0026mu;M for Huh7 cells.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eVanoxerine dihydrochloride treatment caused cell cycle arrest and apoptosis in QGY7703 and Huh7 cells\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTo demonstrate that vanoxerine dihydrochloride is a CDK2/4/6 triple inhibitor, we treated QGY7703 and Huh7 cells with vanoxerine dihydrochloride (3, 10 or 30\u0026mu;M) for 6, 12 or 24 h, and determined its effects on the cell cycle profiles, using flow cytometry ananlysis. As shown in Fig. 2, vanoxerine dihydrochloride treatment significantly (p\u0026lt;0.05) caused the G1‑phase arrest in a dose‑and time‑dependent manner in QGY7703 (Fig. 2A) and Huh7 (Fig. 2B) cells. Significantly decreased cell populations in the S-phase and G2-M phase were also observed in QGY7703 (Fig. 2C) and Huh7 (Fig. 2D) cells at 24 h after treatment. In addition, we also showed that vanoxerine dihydrochloride treatment significantly promoted cell apoptosis, as determined by flowcytometry analysis using the annexinV and propidium iodide staining. Vanoxerine dihydrochloride treatment (at 3, 10, 30\u0026mu;M for 6, 12, 24h) significantly increased the percentage of apoptotic cells in a dose-and time-dependent manner in QGY7703 (Fig. 3A) and Huh7 (Fig. 3 B) cells.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eVanoxerine dihydrochloride decreased the expressions and phosphorylations of CDK2\u003c/strong\u003e\u003cstrong\u003e/4/6\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWestern blotting analysis was used to measure the effects of vanoxerine dihydrochloride treatment on the expressions and phosphorylations of CDK2/4/6, the downstream target protein Rb, and their binding partners cyclinD/E, in QGY7703 and Huh7 cells. As expected of a CDK2/4/6 triple inhibitor, vanoxerine dihydrochloride significantly and dose-dependently decreased the expressions of CDK2/4/6, the pho‑CDK2/4/6, the binding partners cyclinE and cyclinD, as well as the down-stream target proteins Rb and pho‑Rb in QGY7703 (Fig.4A, 4C) and Huh7 (Fig.4B, 4D) cells. In summary, we proposed the molecular mechanisms of vanoxerine dihydrochloride (Fig. 5), in which vanoxerine dihydrochloride inhibited CDK4/6 phosphorylation, which reduced the complex of cyclinD and CDK4/6. As a CDK2 inhibitor, it also inhibited CDK2 phosphorylation, which reduced the complex of cyclinE-CDK2. Together, they caused the subsequent reduction of Rb phosphorylation as well as the activation of E2F, to inhibit G1-S transition and produce G1 arrest. In addition, it is also expected to suppress the activation of cyclinA-CDK2 complex to decrease DNA replication and cell cycle S to G2-M phase transitions, which is consistent with what we observed from the cell cycle profiles analysis.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eThe \u003c/strong\u003e\u003cstrong\u003epredicted conformation\u003c/strong\u003e\u003cstrong\u003es\u003c/strong\u003e\u003cstrong\u003e of vanoxerine dihydrochloride\u003c/strong\u003e\u003cstrong\u003e and\u003c/strong\u003e\u003cstrong\u003e CDK2/4/6\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe predicted two-dimensional chemical structure of vanoxerine dihydrochloride is shown in Fig. 6A. Based on the results from computer docking, we predicted that vanoxerine dihydrochloride interacts with CDK2 and resides in the ATP-binding site of CDK2 with hydrophobic binding with ILE10, LYS33, VAL64, PHE80, ALA144, and a salt bridge with ASP145, and a halogen bond with GLU81 (Fig. 6B).\u0026nbsp; It interacts with CDK4 ATP-binding site through two salt bridges with ASP104, a \u0026pi; interaction with LYS40, and a halogen bond with PHE98 (Fig. 6C), and interacts with CDK6 ATP binding site through a hydrogen bond with ILE19, a salt bridge with ASP104 and a \u0026pi; interaction with PHE98 (Fig. 6D).\u0026nbsp; Results from western blotting indicated that vanoxerine dihydrochloride inhibited the activities of CDK2/4/6 with similar efficacy, suggesting that it has comparable binding affinity to all three CDKs.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eVanoxerine dihydrochloride and 5-FU \u003c/strong\u003e\u003cstrong\u003eproduced synergistic cytotoxic effects \u003cem\u003ein vitro\u003c/em\u003e in Huh7 cells\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTo test the potential synergistic effect of combination therapy, Huh7 cells were seeded in 96-well plates and treated with combinations of various concentrations of vanoxerine dihydrochloride (3 \u0026mu;M, 10 \u0026mu;M,30 \u0026mu;M) and 5-Fu (1 \u0026mu;M , 3 \u0026mu;M, 10 \u0026mu;M, 30 \u0026mu;M, 100 \u0026mu;M). Cell viability was determined by CCK8 assay at 72 hours after treatment (Fig. 7A-7B). The drug combination effect and the combination index (CI) were analyzed by CompuSyn software to calculate the multiple drug dose-effect using the Median Effects methods described by Chou and Talalay. The quantitative definition of drug combinations is CI = 1 for additive effect, CI \u0026lt; 1 for synergism, and CI \u0026gt; 1 for antagonism. The combination of vanoxerine hydrochloride 10 \u0026mu;M, and 5-Fu 1 \u0026mu;M, 3 \u0026mu;M, 30 \u0026mu;M, 100 \u0026mu;M, all showed combined synergistic effect(CI﹤1). CI were also used in the combined action point diagram (Fig. 7C) to quantitatively describe the synergism and antagonism of combined drugs at a given dose-effect level.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eVanoxerine dihydrochloride administration reduced the growth of xenograftedHuh7 tumors \u003c/strong\u003e\u003cstrong\u003e\u003cem\u003ein vivo\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e in nude mice\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eHuh7 cells (1x10\u003csup\u003e6\u003c/sup\u003ecells in 0.2 ml PBS) were subcuta\u0026shy;neously injected into the right flank of BALB/C nude mice. When the tumors grew to 80-100 m\u003csup\u003e3\u003c/sup\u003e (7 days after inoculation), mice were divided randomly into 4 groups (5 mice/group), and treated daily for 21 days by i.p. injection of (1) control PBS, (2) vanoxerine dihydrochloride (40mg/kg), (3) 5-Fu (10mg/kg), (4) vanoxerine dihydrochloride (40mg/kg) plus 5-Fu (10mg/kg), and the tumor volume and body weight were recorded daily. At the end of experiments, mice were sacrificed by cervical dislocation. The tumor tissues were excised, weighed, images captured (supplement figure 3), and immunohistochemistry analysis performed. Vanoxerine dihydrochloride and 5-FU treatments both significantly reduced tumor weight (Fig. 8A) and tumor volume (Fig. 8B), with comparable efficacy, and the combination of vanoxerine dihydrochloride and 5-FU produced the strongest therapeutic effect. As shown in Fig. 8C, all treatments had no obvious effect on body weight. Immunohistochemistry staining of the tumor tissues showed significantly reduced expressions of Rb (Fig. 8D), CDK2 (Fig. 8E), CDK4 (Fig. 8F), and CDK6 (Fig. 8G) in vanoxerine dihydrochloride treatment group, as compared to control PBS treatment group. In contrast, 5-Fu did not show significant effect. Furthermore, the combination of vanoxerine dihydrochloride and 5-FU appeared to further decrease the expressions of these proteins.\u003c/p\u003e"},{"header":"Discussions","content":"\u003cp\u003eIn recent years, a large number of CDK inhibitors have been reported. The first generation inhibitors flavopiridol, (R)-roscovitine, and olomoucine, had low individual CDK specificity, low therapeutic efficacy and high toxicity [\u003ca href=\"#_ENREF_39\"\u003e39\u003c/a\u003e, \u003ca href=\"#_ENREF_40\"\u003e40\u003c/a\u003e].\u0026nbsp; The second generation of CDK inhibitors including dinaciclib, AT7519, milciclib, TG02, CYC065 and RGB-286638 demonstrated little clinical activity [\u003ca href=\"#_ENREF_41\"\u003e41-45\u003c/a\u003e]. In 2015, a selective CDK 4/6 inhibitor palbociclib was approved by FDA as the first CDK inhibitor the treatment of breast cancer [\u003ca href=\"#_ENREF_15\"\u003e15\u003c/a\u003e]. However, so far, no CDK inhibitor has been approved for the treatment of HCC or other cancers, suggesting the need to find more effective drugs, and a CDK2/4/6 triple inhibitor may be a potential candidate.\u003c/p\u003e\n\u003cp\u003eIn this study, we used computer-aided strategy to screen for CDK2/4/6 triple inhibitors, and successfully discovered vanoxerine dihydrochloride. We propose that a CDK2/4/6 triple-inhibitor may offer some advantages over CDK4/6 dual-inhibitor in providing broader patient selection, higher efficacy, and broader types of cancers for treatment. Firstly, CDK2, CDK4, and CDK6, these three CDKs are often all elevated in clinical patient samples of many cancers. In HCC, CDK2, CDK4, and CDK6 have been shown to be elevated in 84% [\u003ca href=\"#_ENREF_16\"\u003e16\u003c/a\u003e], 66.7% [\u003ca href=\"#_ENREF_17\"\u003e17\u003c/a\u003e], and 46% [\u003ca href=\"#_ENREF_18\"\u003e18\u003c/a\u003e] of clinical patient samples, respectively. In lung cancers, CDK2 levels were over-expressed in more than 90% [\u003ca href=\"#_ENREF_46\"\u003e46\u003c/a\u003e], and CDK4/6 in more than 23% of the patient samples [\u003ca href=\"#_ENREF_47\"\u003e47\u003c/a\u003e, \u003ca href=\"#_ENREF_48\"\u003e48\u003c/a\u003e] Therefore, a CDK 2/4/6 triple inhibitor will likely be more effective than CDK4/6 dual inhibitor in these cancers.\u003c/p\u003e\n\u003cp\u003eIn addition, CDK2 has different and broader functions than CDK4/6. The CDK4/6 promote cell cycle G1-S phase transition through activation of cyclinD-CDK4/6 complexes[\u003ca href=\"#_ENREF_5\"\u003e5\u003c/a\u003e, \u003ca href=\"#_ENREF_49\"\u003e49\u003c/a\u003e], hyper-phosphorylation of Rb on serine and threonine residues.[\u003ca href=\"#_ENREF_50\"\u003e50\u003c/a\u003e], and stimulation of the release of E2F transcription factor, which facilitates the transcription of genes required for G1‑to‑S transition and S‑phase progression. CDK2 works differently. It promotes G1-S phase transition through activation of cyclin E-CDK2 to maintain Rb phosphorylation. It also activates cyclinA-CDK2 complexes, to initiate DNA synthesis and the S phase cell cycle, and cyclin A1 has been reported to be over-expressed with highest expression at the preneoplastic stage in human HCC. HBV and HCV are two major risk factors for liver cirrhosis and HCC. Computational analysis in the protein-protein interaction network of HBV proteins has identified not only CDK4/ 6 but also CDK2 as HCC-related genes [51], and interaction network of HCV proteins has identified CDKN2A (cyclin-dependent kinase inhibitor 2A) as one of the HCC related overlapped genes [52]. Emerging evidence has strongly suggested that CDK2/4/6, in particular the CDK2, are involved in RNA modifications. As m6A RNA methylation participates in the pathogenesis of multiple diseases including cancer, the potential roles of CDK2/4/6 in m6A RNA modification in human HCC require further investigations [53]. Furthermore, CDK2 has been reported to phosphorylate the p27\u003csup\u003eKIP1\u003c/sup\u003e and RB proteins in cell cycle progression, the replication factors A and C in DNA replication, the NPAT in histone synthesis, and the nucleophosmin (NPM) in centrosome duplication [54]. Taken together these studies strongly suggested an important role of CDK2 in human HCC, and a CDK2/4/6 triple inhibitor, vanoxerine dihydrochloride, may have additional advantages and broader anti-cancer activities than CDK4/6 dual inhibitors for the treatment of human HCC.\u003c/p\u003e\n\u003cp\u003eWe compare vanoxerine dihydrochloride with two CDK2 inhibitors, Adapaline [20] and Fluspirilene [21], and one CDK4/6 dual inhibitor Rafoxanide [22] we identified from FDA approved drugs by similar strategies. Vanoxerine dihydrochloride has similar anti-cancer activities in inhibiting cell growth, with IC50 equal to 3.79\u0026mu;M in QGY7703 and 4.04\u0026mu;M in Huh7 cells. The other three compounds also have similar IC50 values (IC50 for fluspirilene is 4.01 \u0026mu;M in HepG2 and 3.46 \u0026mu;M in Huh7 cells; for adapalene is 4.43 \u0026micro;M in DLD1 and 7.135 \u0026micro;M in LoVo cells, and for rafoxanide in skin cancer is 1.09 \u0026micro;M in A375 cells and 1.31 \u0026micro;M in A431 cells). As CDK inhibitors, they all have the abilities to inhibit cell cycle progression, and induce apoptosis in cell culture models. They all are capable of reducing tumor growth \u003cem\u003ein vivo\u003c/em\u003e in nude mice xenograted preclinical animal models. However, as a CDK2/4/6 triple inhibitor, vanoxerine dihydrochloride may have broader activity and will be effective to a larger number of cancers than CDK2 or CDK4/6 inhibitors. In addition, these compounds are different in their physical and chemical properties. Therefore, they require different drug delivery systems, suitable for the treatment of different type of cancers, and also have different side effects.\u003c/p\u003e\n\u003cp\u003eWe also compared vanoxerine dihydrochloride with Palbociclib [56] in terms of efficacy, cell toxicity, and animal toxicity for the treatment of HCC. In the \u003cem\u003ein vivo\u003c/em\u003e nude mice xenografted preclinical HCC animal models, vanoxerine dihydrochloride (i.p. 40 mg/kg per day for 21 days) and Palbociclib (orally 150mg/kg every three days for 18days) both reduced tumor growth significantly. Vanoxerine dihydrochloride treatment did not caused significant change in body weight, while Palbociclib treatment produced a slight loss of body weight. In the \u003cem\u003ein vitro\u003c/em\u003e cell culture studies, vanoxerine dihydrochloride had similar or higher cell cytotoxicity than Palbociclib in the HCC cells tested. For examples, the calculated IC50 for vanoxerine dihydrochloride was 3.79 \u0026mu;M in QGY7703 and 4.04 \u0026mu;M in Huh7 cells, while the reported IC50 for Palbociclib was 5 \u0026mu;M in Hep3B，10-15\u0026mu;Min Huh7 and \u0026gt;25\u0026mu;M in PLC5 cells. These results suggested that Palbociclib and vanoxerine dihydrochloride have comparable efficacy and toxicity for HCC treatment.\u003c/p\u003e\n\u003cp\u003eFurthermore, we demonstrated the synergic effect of combining vanoxerine dihydrochloride with chemotherapy drug 5-Fu both \u003cem\u003ein vitro\u003c/em\u003e in cell lines and \u003cem\u003ein vivo\u003c/em\u003e in preclinical animal models. The combination therapies have already been shown to be beneficial for CDK4/6 dual inhibitors. For examples, FDA has approved the use of palbociclib in combination with fulvestrant for the treatment of hormone receptor-positive, HER2-negative metastatic breast cancer [55]. The potential additive or synergistic effect of combination therapy of vanoxerine dihydrochloride with other targeted therapies, chemotherapies, radiotherapy or immunotherapies warrant further investigations.\u003c/p\u003e\n\u003cp\u003eVanoxerine was originally developed as a dopamine transporter antagonist for the treatment of depression and Parkinson\u0026rsquo;s disease, but later failed to demonstrate significant benefit for these diseases [57-62]. The safety of vanoxerine dihydrochloride in animals have been reported by Nagase and coworkers [63]. They showed that oral administration of vanoxerine (50-250mg/kg) to male rats produced a transient increase in dopamine content of the caudate nucleus and hypothalamus, and a slight decrease of norepinephrine levels in the hypothalamus and frontal cortex. In addition, administration (20mg/kg, i.p.) of vanoxerine caused marked increase in locomotor activity [64]. In MES test (a model for generalized tonic-clonic seizures), intraperitoneal administration of vanoxerine at 80 mg/kg and above, produced toxicity with an inability to grasp a rotorod, muscle spasms, minimal motor impairment in mice [65]. The calculated TD50 (i.p.) for vanoxerine was 77.5 mg/kg in mice and 74 mg/kg in rats. In preclinical studies in nonhuman primates, the reported LD50 (oral) is 500 mg/kg [\u003ca href=\"#_ENREF_38\"\u003e38\u003c/a\u003e, \u003ca href=\"#_ENREF_57\"\u003e60\u003c/a\u003e], and no obvious toxic effects were reported following intraperitoneal (i.p.) injection at 20 mg/kg [60]. In the present study we did not observe any significant changes in the body weight of the BALB/C nude mice administered (i.p.) with vanoxerine dihydrochloride (40 mg/kg) over 21 days.\u003c/p\u003e\n\u003cp\u003eVanoxerine was later found to have desirable cardiac antiarrhythmic properties [66]. Patch clamp studies showed that it potently blocked IKr (hERG), L-type calcium and sodium channels [67]. In a phase II dose-ranging COR-ART study, vanoxerine was highly effective in converting atrial fibrillation and atrial flutter (AF/AFL) to sinus rhythm without evidence of proarrhythmia [68]. However, this drug was eventually terminated from development due to occurrence of cardiac arrhythmias including torsade de pointes (TdP) in patients with structural heart disease [69].\u003c/p\u003e\n\u003cp\u003eTo the best of our knowledge, the present study was the first to report that vanoxerine dihydrochloride is a CDK2/4/6 triple inhibitor, and that vanoxerine dihydrochloride exhibited significant \u003cem\u003ein vivo\u003c/em\u003e anti‑cancer efficacy. As a FDA approved drug, the use of vanoxerine dihydrochloride for the treatment of HCC and other cancers warrant further investigations.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eIn this study, we reported the discovery of a new CDK2/4/6 triple inhibitor, vanoxerine dihydrochloride. Due to the important roles of CDK2 in HCC, a CDK2/4/6 triple inhibitor may have additional advantages and broader anti-cancer activities than CDK4/6 dual inhibitors for the treatment of human HCC and other cancers.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eCDK: Cyclin-dependent kinases\u003c/p\u003e\n\u003cp\u003eHCC: hepatocellular carcinoma\u003c/p\u003e\n\u003cp\u003eFDA: food and drugs administration\u003c/p\u003e\n\u003cp\u003eRb: retinoblastoma protein\u003c/p\u003e\n\u003cp\u003eTKI: tyrosine kinase inhibitor\u003c/p\u003e\n\u003cp\u003e5-Fu: 5-fluorouracil\u003c/p\u003e\n\u003cp\u003eCDKN2A: cyclin-dependent kinase inhibitor 2A\u003c/p\u003e\n\u003cp\u003eIC50: half maximal inhibitory concentration\u003c/p\u003e\n\u003cp\u003eTD50: median toxic dose\u003c/p\u003e\n\u003cp\u003eLD50: median lethal dose\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthical Approval and Consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe animal studies were approved by the Kunming Medical University\u0026rsquo;s laboratory animal ethics committee. All authors have consented to participate.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll authors have consented for publication.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of supporting data\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eALL of the data generated or analysed during this study are included in this published article.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was supported by the Yunnan Applied Basic Res of Combined Foundation of Yunnan Province Science \u0026amp;Technology Dept. and Kunming Medical University (2017FE467(-186), 2018FE001(-069), 2019FE001-064), Yunnan Applied Basic Res. of Combined Foundation of Yunnan Province Science \u0026amp; Technology Dept, Yunnan Univ. of Chinese Medicine (2018FF001(-026), 2019FF002(-050,-040)), GuiZhou Science \u0026amp; Technology Department [NO. QKHJC (2017)1171], Top young talents of ten thousand talents plan in Yunnan Province（2019), the Scientific Research Foundation of Yunnan Education Department (2018JS208, 2018JS226), and General Research Projects in Yunnan Province (2019FB113), the National Natural Science Foundation of China (No.81803197, No.81903174).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors' contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMCL, XNS, YZ, KBK, and JGQ conceived and designed the study. YZ, KBK, ZKX, HJL, RS, CD, FMZ, LW, RC, SGW, HZ, PG, and GL performed the experiments, analyzed the data, and prepared the manuscript. KSL, MHW, JYZ, and BHJ critically reviewed the article for important intellectual content. All authors read and approved the manuscript and agree to be accountable for all aspects of the research in ensuring that the accuracy or integrity of any part of the work are appropriately investigated and resolved.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll the authors are thankful to the support from Biomedical Engineering Research Center of Kunming Medical University and Academy of Medical Science of Zhengzhou University.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors' information (optional)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eBiomedical Engineering Research Center, Kunming Medical University, Kunming, Yunnan, China. Department of cadre medical branch, The 3rd Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.\u003c/p\u003e\n\u003cp\u003eYZ\u003c/p\u003e\n\u003cp\u003eDepartment of Urology, The 1st Affiliated Hospital of Kunming Medical University, Kunming, China\u003c/p\u003e\n\u003cp\u003eKBK\u003c/p\u003e\n\u003cp\u003eDepartment of Pathology, Yunnan University of Chinese Medicine, Kunming, Yunnan, China. Department of Medicine, Southwest Guizhou Vocational and Technical College for Nationalities, Xingyi, Guizhou, China.\u003c/p\u003e\n\u003cp\u003eXNS\u003c/p\u003e\n\u003cp\u003eAcademy of Medical Science, Zhengzhou University, Zhengzhou, Henan, China\u003c/p\u003e\n\u003cp\u003eMCML, ZKX, FMZ, LW, JYZ, BHJ and JGQ.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eMazzanti R, Arena U, Tassi R: Hepatocellular carcinoma: Where are we?\u003cem\u003eWorld journal of experimental medicine \u003c/em\u003e2016, 6(1):21-36.\u003c/li\u003e\n\u003cli\u003eLlovet JM, Villanueva A, Lachenmayer A, Finn RS: Advances in targeted therapies for hepatocellular carcinoma in the genomic era. \u003cem\u003eNature reviews Clinical oncology \u003c/em\u003e2015, 12(7):408-424.\u003c/li\u003e\n\u003cli\u003eJindal A, Thadi A, Shailubhai K: Hepatocellular Carcinoma: Etiology and Current and Future Drugs. \u003cem\u003eJournal of clinical and experimental hepatology \u003c/em\u003e2019, 9(2):221-232.\u003c/li\u003e\n\u003cli\u003eLim S, Kaldis P: Cdks, cyclins and CKIs: roles beyond cell cycle regulation. \u003cem\u003eDevelopment \u003c/em\u003e2013, 140(15):3079-3093.\u003c/li\u003e\n\u003cli\u003eAsghar U, Witkiewicz AK, Turner NC, Knudsen ES: The history and future of targeting cyclin-dependent kinases in cancer therapy. \u003cem\u003eNature reviews Drug discovery \u003c/em\u003e2015, 14(2):130-146.\u003c/li\u003e\n\u003cli\u003eHinz M, Krappmann D, Eichten A, Heder A, Scheidereit C, Strauss M: NF-kappaB function in growth control: regulation of cyclin D1 expression and G0/G1-to-S-phase transition. \u003cem\u003eMolecular and cellular biology \u003c/em\u003e1999, 19(4):2690-2698.\u003c/li\u003e\n\u003cli\u003eLukas J, Bartkova J, Bartek J: Convergence of mitogenic signalling cascades from diverse classes of receptors at the cyclin D-cyclin-dependent kinase-pRb-controlled G1 checkpoint. \u003cem\u003eMolecular and cellular biology \u003c/em\u003e1996, 16(12):6917-6925.\u003c/li\u003e\n\u003cli\u003ePeng J, Marshall NF, Price DH: Identification of a cyclin subunit required for the function of Drosophila P-TEFb. \u003cem\u003eThe Journal of biological chemistry \u003c/em\u003e1998, 273(22):13855-13860.\u003c/li\u003e\n\u003cli\u003eNemet J, Jelicic B, Rubelj I, Sopta M: The two faces of Cdk8, a positive/negative regulator of transcription. \u003cem\u003eBiochimie \u003c/em\u003e2014, 97:22-27.\u003c/li\u003e\n\u003cli\u003eSun T, Co NN, Wong N: PFTK1 interacts with cyclin Y to activate non-canonical Wnt signaling in hepatocellular carcinoma. \u003cem\u003eBiochemical and biophysical research communications \u003c/em\u003e2014, 449(1):163-168.\u003c/li\u003e\n\u003cli\u003eCanavese M, Santo L, Raje N: Cyclin dependent kinases in cancer: potential for therapeutic intervention. \u003cem\u003eCancer biology \u0026amp; 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Heart Rhythm, 2016.13(9):1777-1783.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"molecular-medicine","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"mome","sideBox":"Learn more about [Molecular Medicine](https://molmed.biomedcentral.com)","snPcode":"10020","submissionUrl":"https://submission.springernature.com/new-submission/10020/3","title":"Molecular Medicine","twitterHandle":"@MolecularMedic1","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Cyclin-dependent kinases 2/4/6, hepatocellular carcinoma, vanoxerine dihydrochloride, triple inhibitor, drug combination","lastPublishedDoi":"10.21203/rs.3.rs-29276/v3","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-29276/v3","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground: \u003c/strong\u003eCyclin-dependent kinases 2/4/6 (CDK2/4/6) play critical roles in cell cycle progression, and their deregulations are hallmarks of hepatocellular carcinoma (HCC). \u003c/p\u003e\u003cp\u003e\u003cstrong\u003eMethods: \u003c/strong\u003eWe used the combination of computational and experimental approaches to discover a CDK2/4/6 triple-inhibitor from FDA approved small-molecule drugs for the treatment of HCC.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eResults:\u003c/strong\u003e We identified vanoxerine dihydrochloride as a new CDK2/4/6 inhibitor, and a strong cytotoxic drug in human HCC QGY7703 and Huh7 cells (IC50: 3.79μM for QGY7703and 4.04μM for Huh7 cells). In QGY7703 and Huh7 cells, vanoxerine dihydrochloride treatment caused G1‑arrest, induced apoptosis, and reduced the expressions of CDK2/4/6, cyclin D/E, retinoblastoma protein (Rb), as well as the phosphorylation of CDK2/4/6 and Rb. Drug combination study indicated that vanoxerine dihydrochloride and 5-Fu produced synergistic cytotoxicity \u003cem\u003ein vitro\u003c/em\u003e in Huh7 cells. Finally, \u003cem\u003ein vivo\u003c/em\u003e study in BALB/C nude mice subcutaneously xenografted with Huh7 cells, vanoxerine dihydrochloride (40mg/kg, i.p.) injection for 21 days produced significant anti‑tumor activity (p\u0026lt;0.05), which was comparable to that achieved by 5-Fu (10mg/kg, i.p.), with the combination treatment resulted in synergistic effect. Immunohistochemistry staining of the tumor tissues also revealed significantly reduced expressions of Rb and CDK2/4/6in vanoxerine dihydrochloride treatment group.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eConclusions:\u003c/strong\u003e The present study is the first report identifying a new CDK2/4/6 triple inhibitor vanoxerine dihydrochloride, and demonstrated that this drug represents a novel therapeutic strategy for HCC treatment.\u003c/p\u003e","manuscriptTitle":"Discovery of Vanoxerine Dihydrochloride as a CDK2 / 4 / 6 Triple-Inhibitor for the Treatment of Human Hepatocellular Carcinoma","msid":"","msnumber":"","nonDraftVersions":[{"code":3,"date":"2021-01-06 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