Gene signatures predict biochemical recurrence-free survival in primary prostate cancer patients after radical therapy.

ABSTRACT:

Background

This study evaluated the predictive value of gene signatures for biochemical recurrence (BCR) in primary prostate cancer (PCa) patients.

Methods

Clinical features and gene expression profiles of PCa patients were attained from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) datasets, which were further classified into a training set (n = 419), a validation set (n = 403). The least absolute shrinkage and selection operator Cox (LASSO-Cox) method was used to select discriminative gene signatures in training set for biochemical recurrence-free survival (BCRFS). Selected gene signatures established a risk score system. Univariate and multivariate analyses of prognostic factors about BCRFS were performed using the Cox proportional hazards regression mo

SUBMITTER: Su Q 

PROVIDER: S-EPMC8446568 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature