Identification and validation of a six immune-related gene signature for prediction of biochemical recurrence in localized prostate cancer following radical prostatectomy

摘要: Background Prostate cancer (PCa) is the second lethal heterogeneous among males worldwide, and approximately 20% of PCa patients following radical prostatectomy (RP) will undergo biochemical recurrence (BCR). This study aimed to identify immune-related gene signature that can predict BCR in localized RP. Methods Expression profile genes together with clinical parameters from The Cancer Genome Atlas (TCGA) Gene Omnibus database (GEO) Molecular Signatures Database v4.0 were applied construct validate signature. Cox regression analyses conducted candidate establish To estimate prognostic power risk score, time-dependent receiver operating characteristic (ROC) analysis Harrell's index concordance (C-index) utilized. We also established a nomogram forecast probability patients' survival. Results A total 268 TCGA 77 GSE70770 six (SCIN, THY1, TBX1, NOTCH4, MAL, BNIP3L) eventually selected. Kaplan-Meier demonstrated low-risk group had significantly longer recurrence-free survival (RFS) compared those high-risk group. In multivariate model, was identified as an independent factor, which associated RFS (TCGA: HR =5.232, 95% CI: 1.762-15.538, P=0.003; GSE70770: =2.158, 1.051-4.432, P=0.036). Moreover, C-index got improved after incorporating score into original clinicopathological parameters. addition, novel constructed better 1-, 3- 5-year RFS. Conclusions could serve factor for BCR. Incorporation our traditional classification might further stratify different prognosis, assist practitioners developing decision-making.