Open access
Aug 2026
Machine learning-based identification of hub genes and prognostic biomarkers in prostate cancer
EZH2, CDK1, and AURKA constitute an internally validated prognostic risk signature in PCa that links cell cycle dysregulation to an immunosuppressive tumor microenvironment and provides clinically actionable risk stratification and highlights candidate therapeutic targets in prostate cancer.
Gu-Quan Chen, Jie-Feng Zhang, Lin-Fu Zhao et al.
· Frontiers in Genetics · 0 citations