Starting with prostate-specific antigen (PSA) value analysis, rather than other medical markers, and developing an understanding of MRI images, biomarker diagnosis, histopathological data utilization, etc., the authors conclude that deriving textural features is the most promising approach for prostate cancer description. This evidence concerns the gene KLK3 and Familial prostate cancer.