The Stockholm3 (S3M) model combines plasma biomarkers (PSA, hK2, MSMB, MIC1), SNPs, and clinical data into a multivariable algorithm that outperforms PSA alone in predicting clinically significant cancer [19]. The gene discussed is KLK3; the disease is cancer.