Identification of a prognostic biomarker predicting biochemical recurrence and construction of a novel nomogram for prostate cancer.

ABSTRACT:

Background

Biochemical recurrence (BCR) is common in prostate cancer (PCa), but its prediction is based predominantly on clinicopathological characteristics with low accuracy. We intend to identify a potential prognostic biomarker related to the BCR and construct a nomogram for improving the risk stratification of PCa patients.

Methods

The transcriptome and clinical data of PCa patients were obtained from TCGA and GEO databases. Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were used to screen out differentially expressed genes (DEGs) related to the BCR of PCa. Cox regression analysis was further applied to screen out DEGs related to BCR-free survival (BFS). Time-dependent receiver operating curve (ROC) analysis and Kaplan-Meier (K

SUBMITTER: Yu Z 

PROVIDER: S-EPMC10106702 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature