A Novel Predictor Tool of Biochemical Recurrence after Radical Prostatectomy Based on a Five-MicroRNA Tissue Signature

摘要: Within five to ten years after radical prostatectomy (RP), approximately 15–34% of prostate cancer (PCa) patients experience biochemical recurrence (BCR), which is defined as serum levels prostate-specific antigen >0.2 µg/L, indicating probable recurrence. Models using clinicopathological variables for predicting this risk lack accuracy. There hope that new molecular biomarkers, like microRNAs (miRNAs), could be potential candidates improve prediction. Therefore, we evaluated the BCR prognostic capability 20 miRNAs, were selected by a systematic literature review. MiRNA expressions measured in formalin-fixed, paraffin-embedded (FFPE) tissue RP samples 206 PCa RT-qPCR. Univariate and multivariate Cox regression analyses performed, assess independent miRNAs. Internal validation was bootstrapping split-sample method. Five miRNAs (miR-30c-5p/31-5p/141-3p/148a-3p/miR-221-3p) finally validated biomarkers. Their ability accuracy C-statistics obtained indices regression, time-dependent receiver-operating characteristics, decision curve analyses. combined with relevant factors, built. The five-miRNA-panel outperformed clinically established scoring systems, while their combination significantly improved predictive power, based on factors alone. We conclude miRNA-based-predictor panel will worth including future studies.