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

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

BackgroundProstate 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, i...

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Bibliographic Details
Main Authors: Jing Lv, Yuhua Zhou, Shengkai Jin, Chaowei Fu, Yang Shen, Bo Liu, Menglu Li, Yuwei Zhang, Ninghan Feng
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Oncology
Subjects:
prostate cancer
machine learning
weighted gene co-expression network analysis
Mendelian randomization
biomarkers
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1534612/full
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