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Integrated signatures define mutational processes in prostate cancer.

Prostate cancer follows a long and heterogeneous disease course with incompletely understood aetiology1. Here we dissect the mutational processes shaping the genomes of 959 donors from the Pan Prostate Cancer Group and assess their clinical relevance. By integrating de novo extracted single-base substitution, insertion-deletion and copy-number signatures with six novel complex structural variant signatures, we identify eight integrated mutational footprints (IMFs) that collectively explain the mutational processes in 85% of primary prostate cancer genomes. IMFs were strongly influenced by regional biases in the genome, most prevalently androgen receptor-mediated mutagenesis and replication stress. Four IMFs, present in 37% of primary tumours, were significantly associated with shorter time to metastasis. These included reactive oxygen-species-driven mutagenesis and both canonical and non-canonical homologous recombination deficiency, the latter being enriched in patients of African ancestry. Extending to the metastatic setting, we found that IMFs predicted sensitivity to androgen receptor pathway inhibitors. Taken together, our study delineates the aetiologies and mutational processes that drive the genomic and clinical heterogeneity of prostate cancer, introduces IMFs as a unifying framework, and highlights their potential to improve both risk stratification and biomarker-guided treatment selection.

Journal Article

Bipolar Androgen Therapy as a Potential Mechanistic Bridge to Enhance PARP Inhibitor Efficacy in Prostate Cancer.

Prostate cancer remains a leading cause of cancer-related mortality, largely driven by progression to metastatic castration-resistant prostate cancer (mCRPC). Although poly(ADP-ribose) polymerase inhibitors (PARPis) have improved outcomes in patients with homologous recombination repair (HRR) alterations, particularly in BRCA2-mutated disease, their clinical benefit is limited by restricted patient selection, modest efficacy in non-BRCA HRR alterations, and the frequent emergence of resistance. These limitations highlight an unmet need for strategies that can both expand the therapeutic population and overcome PARPi resistance. Bipolar androgen therapy (BAT), which alternates between supraphysiological and near-castrate androgen exposure, has emerged as a paradoxical yet clinically active approach in mCRPC. Unlike conventional androgen deprivation strategies, preclinical evidence suggests that BAT induces acute androgen receptor-mediated DNA damage while simultaneously suppressing HRR gene expression. This dual effect may generate a transcription-coupled homologous recombination-deficient state that is independent of canonical baseline genomic HRR alterations, thereby potentially sensitizing tumors to PARP inhibition. Current clinical trials of BAT combined with PARP inhibitors suggest activity in both HRR-deficient and HRR-proficient disease. Collectively, these findings suggest a preliminary, hypothesis-generating conceptual framework in which BAT may expand the therapeutic scope of PARPis beyond genomically defined HRR-mutated tumors and may help counteract mechanisms of PARPi resistance in mCRPC.

PARP inhibitor

Subclonal Complete Loss of CDKN1B as a Common Genomic Alteration in Prostate Cancer: Associations With Race and Prostate Cancer Outcomes.

Homozygous biallelic inactivation of CDKN1B is thought to be rare in cancer, including prostate cancer. In the present study, we report that the prevalence of subclonal genomic loss of CDKN1B, especially among self-reported African-American or Black (AA) individuals, has likely been underestimated in primary prostate cancer. Using immunohistochemistry (IHC) for p27 protein and a large cohort of whole tissue sections from radical prostatectomy (N = 412) from AA and European American (EA) individuals, we discovered an unexpectedly high frequency of regions of intratumoral complete p27 protein loss (IPPL) within larger tumor nodules that otherwise showed intact p27 staining that was more prevalent among prostate cancer in AA individuals (18.1%) than EA individuals (12.2%). Regions of IPPL were tightly associated with loss of CDKN1B messenger RNA by in situ hybridization. Furthermore, these focal regions of IPPL were closely linked to CDKN1B genomic loss as detected by next-generation sequencing panel sequencing of laser-captured regions. The detection of IPPL by IHC was associated with ≥pT3 pathologic stage (extraprostatic extension and seminal vesicle involvement) and pN1 (local lymph node involvement) disease; however, when stratified by race, these associations were only significant among AA participants. IPPL was further associated in both univariate and multivariate analyses with the development of biochemical recurrence and metastasis after primary treatment, specifically in AA individuals. The prevalence of p27 genomic alterations in metastatic disease is higher than that of primary prostate cancer in publicly available data sets as well as in our analysis of autopsy specimens via IHC. Overall, subclonal biallelic loss of CDKN1B resulting in complete p27 protein loss is one of the most commonly occurring biallelic tumor suppressor genomic alterations in primary prostate cancer and could contribute to worse prostate cancer outcomes, specifically in AA individuals. Our findings warrant further exploration into the clinical utility of using IHC for p27 loss as a prognostic biomarker.

CDKN1B cancer disparities

Evaluation of plasma hormone concentrations in relation to clinical staging in patients with prostatic cancer. British Prostate Study Group.

Plasma concentrations of testosterone, oestradiol-17 beta, luteinising hormone (LH), follicle stimulating hormone (FSH), prolactin and growth hormone (GH) were measured in patients with histologically proven prostatic cancer, before any form of therapy was given for this disease. Patients were categorised according to UICC classification. No systemic change in the group means of any of these hormones was associated with the progression of the disease from the T0 to the T4 stage. When multivariate analysis was applied to the combined intraprostatic (T0 + T1 + T2) and extraprostatic (T3 + T4) tumour category in patients without clinically evident metastases (M0) a discrimination was observed, GH substantially contributing to the separation of the 2 groups. When plasma hormone data from patients classified as M0 (without metastases) were compared with M1 patients (with metastases), mean GH values were significantly larger (P less than 0.02) in patients with metastases. GH was also a major contributory factor to the discrimination between the M0 and M1 groups, using multivariate analysis. Testosterone group means for M0 versus M1 were also significantly different (P less than 0.02).

Age Factors

Subclonal Complete Loss of CDKN1B as a Common Genomic Alteration in Prostate Cancer: Associations with Race and Prostate Cancer Outcomes.

BACKGROUND: Homozygous biallelic inactivation of CDKN1B is thought to be rare in cancer. Herein we evaluate the prevalence of intratumoral (subclonal) complete p27 protein loss (IPPL) in primary prostate cancer. EXPERIMENTAL DESIGN: We used immunohistochemistry (IHC) for p27 in a large cohort of whole tissue sections from radical prostatectomy (n=412) and metastases from self-identified African American (AA) and European American (EA) individuals. IPPL was evaluated alongside CDKN1B mRNA in-situ hybridization and next generation sequencing of laser captured cancer regions. Cox proportional hazards analyses assessed the association of IPPL with biochemical recurrence and development of metastases after radical prostatectomy. RESULTS: IPPL was detected in 18.1% of AA versus 12.2% of EA cases and was tightly correlated with CDKN1B mRNA loss and biallelic genomic loss. IPPL was associated with ≥pT3 pathologic stage and pN1 disease, however these associations were only significant among AA participants. IPPL was further associated in both univariate and multivariate analyses with the development of biochemical recurrence and metastasis after primary treatment, specifically in AA individuals. The prevalence of p27 genomic alterations in metastatic disease is higher than that of primary prostate cancer in publicly available datasets as well as our analysis of autopsy cases via IHC, indicating that complete p27 loss may be selected for in metastatic disease. CONCLUSIONS: Subclonal biallelic loss of CDKN1B resulting in complete p27 protein loss is one of the most commonly occurring biallelic tumor suppressor genomic alterations in primary prostate cancer, and could contribute to worse prostate cancer outcomes, specifically in AA males.

Journal Article

Ubiquitination-Androgen Receptor Coupling in Prostate Cancer Therapeutics.

Prostate cancer is one of the most frequently diagnosed malignancies in men and a leading cause of cancer-related mortality worldwide. The androgen receptor (AR) remains the principal driver of prostate cancer progression and castration-resistant prostate cancer (CRPC), with its stability, localization, and transcriptional activity being tightly regulated by the ubiquitin-proteasome system (UPS). E3 ubiquitin ligases and deubiquitinases (DUBs) critically govern AR turnover and signalling output, thereby influencing tumour growth, therapeutic resistance, and disease progression. Emerging evidence further highlights a complex interplay between ubiquitination, DNA damage response (DDR) pathways, and ADP-ribosylation (ADPr) signalling, collectively shaping genomic stability and treatment responsiveness in prostate cancer. This review is organized into four major themes: (i) ubiquitin-mediated regulation of AR signalling, (ii) ubiquitination and DNA damage response in AR-driven prostate cancer, (iii) crosstalk between ubiquitination, ADPr, and AR-associated signalling pathways, and (iv) therapeutic strategies targeting the UPS and AR axis. This study also discusses recent advances in targeted protein degradation, modulation of E3 ligases, inhibition of deubiquitinases, and PARP-based therapeutic approaches. These emerging insights into the interconnected regulation of ubiquitination, AR signalling, DDR pathways, and ADP-ribosylation may facilitate the development of next-generation therapeutic approaches for advanced prostate cancer.

ADP-ribosylation (ADPr)

Prostate cancer: normal prostate from human and hamster.

"Prostatic acid phosphatase" is a term that has been used widely and ambiguously to refer to acid phosphatase, which 1) is elevated in the sera of patients with various diseases of the prostate, 2) is inhibited by one or more specific inhibitors, 3) attacks one or more specific substrates, 4) has certain unique antigenic properties, 5) is extracted from homogenates of prostate, and 6) is obtained from prostate secretions, etc. Most of the data adduced to justify this term is indirect. We have purified specific kinds of cells from prostates and other tissues. These purified cells have served as sources of enzymes known to be derived from particular kinds of cells. We studied several substrates and one inhibitor that have been claimed useful for the measurement of prostatic acid phosphatase. None of the substrates or inhibitors studied appeared to offer much "specificity," which would allow us to distinguish acid phosphatase activity from prostatic epithelial cells from acid phosphatase activities from several other kinds of purified cells.

Acid Phosphatase

The histochemical behaviour, electrophoretic mobility and distribution in cell fractions of acid phosphatase isozymes in prostatic cancer and benign prostate hyperplasia.

Acid phosphatase isozymes were investigated in cancerous prostatic tissue (4 cases) and benign prostatic hyperplasia (6 cases). Electron-microscopic histochemical examination of cancer tissue revealed irregular acid beta-glycerophosphatase staining in various cell organelles, including the plasma membrane, which was not seen in non-malignant tissue. Cancerous tissue homogenates also contained isozymic acid phosphatase species with high electrophoretic mobility, which was not detectable in benign tissue unless treated with detergent. Fractionation by differential centrifugation confirmed that much of the acid phosphatase activity in cancer tissue was extra-lysosomal. The detection of these isozyme properties may provide an opportunity, by means of tissue investigations, to define tumour stages earlier than on the basis of increased levels of serum acid phosphatase activity indicative of stage IV (D) prostatic cancer.

Acid Phosphatase

Lifestyle, anthropometric factors and clinically significant prostate cancer diagnosis in men with suspected prostate cancer.

OBJECTIVE: Lifestyle and anthropometric factors may influence prostate cancer (PCa) risk, yet evidence remains inconclusive. This study reports the associations between lifestyle and anthropometric factors and clinically significant PCa (csPCa; ISUP grade > 1) among men with clinical suspicion of PCa. MATERIALS AND METHODS: In this registered (NCT06116851), single-institution, prospective cohort trial, men referred for PCa diagnostics due to elevated prostate-specific antigen or abnormal digital rectal examination were included. Subjects underwent prostate diagnostics and completed detailed surveys of lifestyle, medical and family history. Physical activity was measured using a triaxial accelerometer. Anthropometric assessments included body mass index, waist circumference and magnetic resonance imaging-based body composition analyses. RESULTS: Among 298 included men, 143 (48%) were diagnosed with csPCa. In multivariate logistic regression, higher physical activity, measured by step count (odds ratio [OR]: 0.91, 95% confidence interval [CI]: 0.82-0.99) and active smoking compared to never-smokers (OR: 0.38, 95% CI: 0.14-0.96) were inversely associated with detection of csPCa. Higher prostate-specific antigen density was associated with increased risk (OR: 1.78, 95% CI: 1.39-2.35). Body composition was not associated with csPCa. Study strengths include comprehensive data collection. Primary limitation is partial reliance on self-reported data. CONCLUSIONS: Higher measured physical activity was inversely associated with detection of csPCa in men with suspicion of PCa. Active smoking also showed an inverse association. Both findings merit further investigation.

Aged

Exploring the clinical and biological significance of the cell cycle-related gene CHMP4C in prostate cancer.

BACKGROUND: Prostate cancer (PCa) stands as the second most prevalent malignancy impacting male health, and the disease's evolutionary course presents formidable challenges in the context of patient treatment and prognostic management. Charged multivesicular body protein 4 C (CHMP4C) participates in the development of several cancers by regulating cell cycle functions. However, the role of CHMP4C in prostate cancer remains unclear. METHODS: In terms of bioinformatics, multiple PCa datasets were employed to scrutinize the expression of CHMP4C. Survival analysis coupled with a nomogram approach was employed to probe into the prognostic significance of CHMP4C. Gene set enrichment analysis (GSEA) was conducted to interrogate the functional implications of CHMP4C. In terms of cellular experimentation, the verification of RNA and protein expression levels was executed through the utilization of qRT-PCR and Western blotting. Upon the establishment of a cell line featuring stable CHMP4C knockdown, a battery of assays, including Cell Counting Kit-8 (CCK-8), wound healing, Transwell, and flow cytometry, were employed to discern the impact of CHMP4C on the proliferation, migration, invasion, and cell cycle function of PCa cells. RESULTS: The expression of CHMP4C exhibited upregulation in both PCa cells and tissues, and patients demonstrating elevated CHMP4C expression levels experienced a notably inferior prognosis. The nomogram, constructed using CHMP4C along with clinicopathological features, demonstrated a commendable capacity for prognostic prediction. CHMP4C knockdown significantly inhibited the proliferation, migration, and invasion of PCa cells (LNcaP and PC3). CHMP4C could impact the advancement of the PCa cell cycle, and its expression might be regulated by berberine. Divergent CHMP4C expression among PCa patients could induce alterations in immune cell infiltration and gene mutation frequency. CONCLUSIONS: Our findings suggest that CHMP4C might be a prognostic biomarker in PCa, potentially offering novel perspectives for the advancement of precision therapy for PCa.

Humans

The RNA helicase DDX17 enhances androgen receptor stability by interacting with the E3 ubiquitin ligase SPOP in prostate cancer.

BACKGROUND: Prostate cancer (PCa) is a common malignancy in men, closely associated with androgen receptor (AR) signaling, and often diagnosed with elevated prostate-specific antigen (PSA). While androgen deprivation therapy (ADT) is effective, resistance develops due to reactivation of AR signaling, driving disease progression. We aimed to explore the role of DDX17 in the progression of PCa through its interaction with SPOP. We hypothesized that DDX17 can stabilize the AR by inhibiting SPOP-mediated ubiquitination, thereby maintaining AR signaling which supports tumor growth and survival. METHODS: We collected gene expression data and clinical information from PCa patients from The Cancer Genome Atlas and Gene Expression Omnibus databases. Messenger RNA (mRNA) and protein levels were quantified using quantitative real-time polymerase chain reaction (PCR) and western blotting, respectively. Cell viability and invasion capabilities were assessed using cell counting kit-8 (CCK-8) and transwell invasion assays. The interactions between DDX17 and SPOP were examined through coimmunoprecipitation assays. RESULTS: DDX17 exhibited high expression in both PCa tissues and cells. Silencing DDX17 led to reduced proliferation and invasion of PCa cells. Mechanistic investigations revealed that DDX17 directly interacted with SPOP, sustaining AR stability by preventing AR ubiquitination. These findings suggest a role of DDX17 in promoting the progression of PCa by binding and blocking SPOP ubiquitination of AR. CONCLUSIONS: This study elucidated a novel mechanism through which the RNA helicase DDX17 can promote PCa progression through its interaction with SPOP, thereby enhancing AR stability by inhibiting AR ubiquitination.

DDX17

Descriptive epidemiology of testicular and prostatic cancer in Los Angeles.

Data from the Los Angeles County Cancer Surveillance Program (CSP) from 1972 to 1975 were used to study the descriptive epidemiology of testicular cancer and prostatic cancer. The very high black/white ratio and late age peak of cancer of the prostate contrasted sharply with the very low ratio and early age peak of testicular cancer. However, both sites had higher rates among upper occupational and social class groupings. Avalable descriptive and analytical research suggests that the etiology of prostatic cancer is most probably related to hormonal influences rather than to a horizontally transmitted agent, while the etiology of testicular cancer is most probably related to endogenous or exogenous hormonal influences in utero or in infancy, or to in utero exposure to other exogenous agents.

Adolescent

PGC1α expression using targeted redox-responsive nanogels protects against prostate cancer in vivo.

Prostate cancer is among the most frequently diagnosed cancers in men in the UK and US. Increasing evidence implicates metabolic dysregulation as a critical driver of disease progression. Central to this process is peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC1α) that promotes oxidative metabolism and mitochondrial biogenesis while inhibiting metastatic programs. This work investigated the therapeutic potential of PGC1α overexpression via mRNA delivery. Here, we report a prostate-specific, targeted disulphide-crosslinked nanogel system for intracellular delivery of mRNA encoding the N-terminal isoform of PGC1α (NT-PGC1α). Functionalization of the NGs with a peptide targeting prostate-specific membrane antigen (PSMA) enabled selective delivery of NT-PGC1α mRNA in PCa cells and 3D spheroid models. We confirmed sustained PGC1α expression, and increased mitochondrial protein content, indicative of enhanced mitochondrial biogenesis. These nanogels, which were prepared in situ using a nanopolymerization technique, exhibited high mRNA loading capacity, low cytotoxicity, and redox-responsive cargo release, enabling controlled cytosolic delivery following intracellular glutathione-mediated degradation. In vivo, systemic administration of the PSMA-targeted NT-PGC1α mRNA-loaded nanogels resulted in tumor-preferential accumulation and significant suppression of xenograft growth (by 73.4% relative to untreated control), with minimal systemic toxicity. This study presents the first example of a prostate-targeted, disulfide-crosslinked nanogel system for mRNA-mediated metabolic reprogramming in prostate cancer, and highlights its promise as a platform for future RNA-based targeted and precision stimuli-responsive cancer therapies.

Male

Detection of prostatic cancer by solid-phase radioimmunoassay of serum prostatic acid phosphatase.

We compared our radioimmunoassay with the standard enzyme assay for prostatic acid phosphatase in the diagnosis of prostatic cancer. Serum samples from 50 controls, 113 patients with prostatic cancer, 36 with benign prostatic hyperplasia, 83 with other cancers, 20 with gastrointestinal disorders and 28 with total prostatectomies were randomized and studied by radioimmunoassay and enzyme assay. When the upper limit was set at 8.0 ng per milliliter (mean + 4 S.D.) the radioimmunoassay diagnosed prostatic cancer in 33, 79, 71 and 92 per cent of the patients with Stage I, II, III and IV disease. In contrast, the enzyme assay detected elevations of enzyme in the serum of 12, 15, 29, and 60 per cent respectively. No false-positive results were detected by either assay in normal controls but the radioimmunoassay test was positive in two patients with benign prostatic hyperplasia, in one patient after total prostatectomy, in nine with other cancers and in one of the group with gastrointestinal disorders. In contrast to the enzyme assay, the radioimmunoassay distinguished over half the cases of intracapsular prostatic cancer.

Acid Phosphatase

Targeting the Fatty Acid Binding Protein 5-Specificity Protein 1 Axis Restores Enzalutamide Sensitivity by Suppressing Androgen Receptor/Androgen Receptor Splice Variant 7 Signaling: Implications for Prostate Cancer Therapy.

BACKGROUND: Castration-resistant prostate cancer (CRPC) remains a major clinical challenge driven by persistent androgen receptor (AR) signaling and constitutively active splice variants such as androgen receptor splice variant 7 (AR-V7), which confer resistance to therapies including enzalutamide. Although metabolic reprogramming contributes to disease progression, the integration of metabolic and transcriptional regulators sustaining therapeutic resistance remains incompletely understood. METHODS: We integrated clinical transcriptomic analysis of The Cancer Genome Atlas Prostate Adenocarcinoma (TCGA-PRAD) cohort with mechanistic and functional validation in 22RV1 CRPC cells to investigate the role of the fatty acid binding protein 5-specificity protein 1 (FABP5-Sp1) regulatory axis. RESULTS: Transcriptomic analysis revealed that FABP5 is significantly upregulated in prostate tumors compared with normal tissue and increases with higher Gleason score. In contrast, AR and Sp1 exhibited heterogeneous expression patterns. Mechanistically, genetic ablation of FABP5 markedly reduced AR-V7 expression and restored sensitivity to enzalutamide, leading to suppression of AR signaling. Conversely, FABP5 overexpression increased Sp1 protein levels. Pharmacological inhibition of Sp1 using mithramycin A resulted in coordinated downregulation of FABP5, AR, and AR-V7, along with suppression of peroxisome proliferator-activated receptor gamma (PPARγ) signaling and downstream vascular endothelial growth factor A (VEGFA) expression. Functionally, Sp1 inhibition significantly reduced anchorage-independent growth and invasion. CONCLUSION: These findings define a FABP5-Sp1-AR/AR-V7 transcriptional-metabolic axis driving enzalutamide resistance in CRPC. Targeting FABP5 restores therapeutic sensitivity and represents a promising biomarker and therapeutic strategy in advanced prostate cancer.

AR-V7

CCNA2 orchestrates the PI3K/AKT signaling axis to propel prostate cancer metastasis.

BACKGROUND: Prostate cancer (PCa) remains one of the most common malignancies in men, posing a persistent global burden in terms of both public health and socioeconomic costs. Although early detection is essential for improving patient outcomes, existing clinical tools, including prostate-specific antigen (PSA) screening, digital rectal examination, and transrectal ultrasound-guided biopsy, are hampered by suboptimal specificity and positive predictive value, resulting in frequent overdiagnosis and overtreatment of indolent lesions while missing a subset of aggressive tumors at an early stage. In this context, the rapid advancement of high-throughput omics technologies, coupled with sophisticated machine learning (ML) algorithms, provides a powerful computational framework to dissect high-dimensional genomic data, uncover latent gene expression signatures, and identify candidate biomarkers with superior discriminative performance over conventional clinicopathological parameters. Therefore, in this study, we sought to screen for crucial ML-based biomarkers associated with PCa, with a particular focus on systematically assessing the diagnostic and prognostic value of CCNA2. Leveraging large-scale transcriptomic cohorts from public repositories, we employed an ensemble of ML approaches to prioritize candidate genes and subsequently evaluated the diagnostic performance of CCNA2 through receiver operating characteristic curve analysis, as well as its prognostic utility via Kaplan-Meier survival estimation and multivariate Cox proportional hazards modeling. Our findings are anticipated to elucidate the molecular landscape of PCa and offer a promising biomarker candidate for early detection and risk stratification. METHODS: This study integrated single-cell RNA sequencing, bulk transcriptomic data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) repositories, immunofluorescence, and multiple ML algorithms with in vitro functional assays to evaluate CCNA2 expression, clinical relevance, and biological behavior in PCa. RESULTS: CCNA2 was linked to metastasis and poor prognosis. High CCNA2 expression significantly correlated with adverse survival outcomes, and knockdown of CCNA2 suppressed proliferation, migration, and invasion in PCa cell lines. Mechanistically, CCNA2 modulated the PI3K/AKT signaling pathway. An ML-based diagnostic model incorporating CCNA2 demonstrated high predictive accuracy across multiple validation cohorts. CONCLUSIONS: CCNA2 serves as a promising prognostic biomarker and therapeutic target in prostate adenocarcinoma, driving tumor progression potentially via the PI3K/AKT axis.

CCNA2

Systems biology successes and areas for opportunity in prostate cancer.

Systems biology approaches have been applied to prostate cancer to model how individual cellular and molecular components interact to influence cancer development, progression, and treatment responses. The integration of multi-omic experimental data with computational models has provided insights into the molecular characteristics of prostate cancer and emerging treatment strategies that have the potential to improve patient outcomes. Here, we highlight recent advancements that have emerged from systems modeling in prostate cancer. These include descriptions of the molecular landscape of prostate cancer and how genomic alterations inform computational models of disease progression, how evolutionary processes give rise to mechanisms of therapeutic resistance, and the development of innovative treatment strategies such as adaptive therapy. We also highlight current challenges in prostate cancer that can be addressed through systems biology approaches. These include tumor heterogeneity, poor immunotherapy response, a paucity of experimental model systems, and the ongoing translation of computational models for clinical decision making. Leveraging systems biology approaches has the potential to lead to a better understanding of the disease and better patient outcomes in the treatment of prostate cancer.

Humans