Unknown

Dataset Information

Development of a prognostic risk model for predicting biochemical recurrence-free survival in patients with prostate cancer based on lysine acetylation.


ABSTRACT:

Background

Lysine acetylation plays a critical role in prostate cancer (PCa) by modulating androgen receptor (AR) signaling. However, the exact mechanisms by which lysine acetylation impacts PCa prognosis remain unclear. The aim of this study was to investigate the mechanism by which lysine acetylation affects PCa prognosis by modulating the AR signaling pathway.

Methods

Data from The Cancer Genome Atlas-Prostate Adenocarcinoma (TCGA-PRAD), GSE54460, and lysine acetylation-related genes (LARGs) were obtained from public databases and literature. Differentially expressed genes (DEGs) were identified in TCGA-PRAD, and key module genes associated with LARGs were selected using weighted gene co-expression network analysis (WGCNA). Candidate genes were identified by overlapping D

SUBMITTER: Cao B 

PROVIDER: S-EPMC12433106 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature