To refine and weigh our collection of potential biomarkers for PCa progression, we applied machine learning (ML), made explainable via shapely additive explanations (SHAP) values, to rank the 22 shared genes of the three TPX2 modules previously identified by WGCNA. This evidence concerns the gene TPX2 and posterior cortical atrophy.