Prediction of Biochemical Recurrence-Free Survival of Prostate Cancer Patients Leveraging Multiple Gene Expression Profiles in Tumor Microenvironment

Tumor-adjacent normal (TAN) tissues, which constitute tumor microenvironment and are different from healthy provide critical information at molecular levels that can be used to differentiate aggressive tumors indolent tumors. In this study, we analyzed 52 TAN samples the Cancer Genome Atlas (TCGA) prostate cancer patients developed a 10-gene prognostic model accurately predict biochemical recurrence-free survival based on profiles of these genes in tissues. The predictive ability was validated using an independent cohort. These 10 detected indicating distinct progression-related mechanisms two tissue types. Bioinformatics analysis showed were significantly enriched by p53 signaling pathway, may represent crosstalk tunnels between its pathways involving cell-to-cell contact paracrine/endocrine signaling. insight acquired study has advanced our knowledge potential role progression.