Identification and validation of an E2F-related gene signature for predicting recurrence-free survival in human prostate cancer.

ABSTRACT:

Background

It is well-established that biochemical recurrence is detrimental to prostate cancer (PCa). In the present study, we explored the mechanisms underlying PCa progression.

Methods

Five cohorts from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus databases were used to perform gene set variation analysis (GSVA) between nonrecurrent and recurrent PCa patients. We obtained the intersection of pathway enrichment results and extracted the corresponding gene list. LASSO Cox regression analysis was used to identify recurrence-free survival (RFS)-related significant genes and establish an RFS prediction gene signature and nomogram. MTT and colony formation assays were conducted to validate our findings.

Results

The E2F signaling pathway was activated in rec

SUBMITTER: Yang C 

PROVIDER: S-EPMC9721026 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature