Senescence-related gene signature predicts prostate cancer progression and identifies PCNA as a therapeutic target via multi-omics machine learning integration

We developed the SRGS that effectively predicts prostate cancer prognosis and progression. Moreover, our findings highlight PCNA as a promising therapeutic target in PCa. Integrated analysis of multi-cohort transcriptomic data developed an SRGS enabling accurate prognostication and identification of high-risk patients. Results highlight SRGS's clinical utility and nominate PCNA as a promising therapeutic target in high-risk and castration-resistant prostate cancer (CRPC).