To develop the clinical outcome prediction model, 12 input variables related to PCa were used; the variables were 1) age at diagnosis, 2) BMI, 3) marital status, 4) education, 5) smoking, 6) alcohol, 7) family history of PCa, 8) initial prostate specific antigen (PSA) value, 9) Gleason grade group, 10) maximum positive core, total cores, 11) high-grade prostatic intraepithelial neoplasia(HGPIN), 12) core ratio(Number of positive cores / Total cores). Here, KLK3 is linked to posterior cortical atrophy.