Machine learning–derived exosome-related biomarkers for prostate cancer diagnosis and AKR1B1-centered functional characterization
This study identifies a robust eight-gene exosome-related diagnostic signature for prostate cancer using machine learning, with a specific focus on characterizing AKR1B1 as a promising biomarker linked to tumor immunity, metabolism, and potential drug targeting.