Moreover, by incorporating the categorical variable of Fx (III, IV, or ETS) with urine PCA3 and serum PSA, the multivariate FPP model not only has an overall predictive accuracy of 77% to overall prostate cancer detection, but also allows individualized stratification of prebiopsy patients into distinctive risk groups. The gene discussed is KLK3; the disease is prostate cancer.