In the stepwise multivariate regression analysis, we added and adjusted confounding factors including age, BMI, hypertension, diabetes, history of pelvic surgery, prostate volume, and ultimately revealed that the correlations of BMI, PSA before biopsy, ISUP grade after LRP, pT, and pN with PSM remained significant after adjustment for confounding factors (OR=1.160, 95%CI:1.034-1.301, p=0.011; OR=3.385, 95%CI:1.386-8.268, p=0.007;OR=3.541, 95%CI:1.008-12.444, p=0.049; OR=4.577, 95%CI:2.163-9.686, p<0.001; OR=3.572, 95%CI:1.124-11.347, p=0.031, respectively). This evidence concerns the gene KLK3 and diabetes mellitus.