Machine Learning of Tumor Microenvironment Related Genes for Prostate Cancer Biochemical Recurrence Prediction and Immune Analysis
This study constructed and validated a robust machine learning-based prognostic model using 32 tumor microenvironment-related genes to predict biochemical recurrence in prostate cancer, revealing distinct immune landscapes and potential therapeutic sensitivities for risk-stratified patient management.