Prospective cohort study integrating plasma proteomics and machine learning for early risk prediction of prostate cancer

TSPAN1 and GP2 are promising long-term predictive biomarkers for PCa. A streamlined proteomics-based model may enable individualized risk stratification and inform earlier, less invasive screening strategies.