As a result of our work, a promising trained model has been suggested in the form of a deep neural network based on qPCR data for mRNA and miRNA and clinicopathological characteristics (ALDH3A2 + ODF2 + QSOX2 + hsa-miR-503-5p + ISUP + pT, AUC = 0.944) to forecast the risk of recurrence in patients with TMPRSS2-ERG-positive locally advanced PCa. This evidence concerns the gene ODF2 and posterior cortical atrophy.