For the patient group in this study, combining standard prostate cancer clinical characteristics (age, serum PSA level, prostate volume and DRE results) into a multivariable model yielded modest diagnostic accuracy (AUC = 0.718). The gene discussed is KLK3; the disease is prostate cancer.