To reduce the influence of the clinical background on the identification of the urinary EV proteins related to prostate cancer outcome, we performed a logistic regression analysis with adjustments of age, BMI, prostate size, and PSA, where the results indicated SERPINA3, LRG1, and SCGB3A1 (upregulated EV proteins) to be positively associated with the risk of prostate cancer (OR 1.19, 95% CI 1.05, 1.33; OR 1.10, 95% CI 1.03, 1.17; OR 1.08, 95%CI 1.02, 1.14, respectively). This evidence concerns the gene SCGB3A1 and Familial prostate cancer.