Identification of key genes with differential correlations in prostate cancer.

ABSTRACT:

Background

Prostate cancer, a major global health issue for men, remains a critical clinical challenge in treatment, highlighting the need for improved biomarkers. Treatment options for prostate cancer include active surveillance, surgery, endocrine therapy, chemotherapy, radiotherapy, immunotherapy, etc. However, as the tumor progresses, the effectiveness of treatment regimens gradually decreases. Therefore, we need to understand the biological mechanisms that promote prostate cancer tumorigenesis and progression and to screen biomarkers for diagnosis and prediction of prognosis.

Methods

We utilized the expression profiles of prostate cancer from The Cancer Genome Atlas (TCGA) database and employed weighted gene co-expression network analysis (WGCNA) to construct a gene int

SUBMITTER: Chi Z 

PROVIDER: S-EPMC12606966 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature