WGCNA-ML-MR integration: uncovering immune-related genes in prostate cancer.

ABSTRACT:

Background

Prostate cancer is one of the most common tumors in men, with its incidence and mortality rates continuing to rise year by year. Prostate-specific antigen (PSA) is the most commonly used screening indicator, but its lack of specificity leads to overdiagnosis and overtreatment. Therefore, identifying new biomarkers related to prostate cancer is crucial for the early diagnosis and treatment of prostate cancer.

Methods

This study utilized datasets from the Gene Expression Omnibus (GEO) to screen for differentially expressed genes (DEGs) and employed Weighted Gene Co-expression Network Analysis (WGCNA) to identify driver genes highly associated with prostate cancer within the modules. The intersection of differentially expressed genes and driver genes was taken, and K

SUBMITTER: Lv J 

PROVIDER: S-EPMC12009700 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature