Identifying prognostic targets in metastatic prostate cancer beyond AR

Genome-wide screens using CRISPR/RNAi can identify new therapeutic vulnerabilities in prostate cancer. In this study, we combine DepMap functional screen data with a large gene expression database (N = 1012) and clinical outcomes to identify potentially druggable targets. Eight genes (CYC, CYP51A1, DHFR, EBP, KIF15, PPM1D, SQLE, and UMPS) demonstrated strong dependency in cell lines and were also associated with worse prognosis clinically, representing potential therapeutic targets in metastatic prostate cancer. Four of these (DHFR, EBP, KIF15, and PPM1D) demonstrated higher expression in neuroendocrine prostate cancer. Furthermore, all but one (KIF15) were not significantly decreased from pretreatment to posttreatment, suggesting that they may remain targetable postabiraterone therapy. All eight genes showed evidence of protein expression in prostate cancers or cell lines. These potentially druggable targets associated with prostate cancer cell line dependency and worse clinical outcomes have also demonstrated literature support as potential targets, supporting further research into their potential clinical relevance as therapeutic targets in prostate cancer.