Many approaches have been considered to enhance PCa screening, such as multivariable risk prediction models that take into account multiple variables, such as age, family history, race, PSA levels, and other biomarkers; these models aim to provide a more personalized risk assessment to guide decision making for both patients and clinicians. This evidence concerns the gene KLK3 and posterior cortical atrophy.