Focusing on PBRM1 mutation, which is a likely good prognostic factor in advanced ccRCC [42,53], Kocack et al. (2019) developed two predictive radiogenomic models using artificial neural network algorithm (ANN) and RF algorithms to differentiate ccRCC tumors by PBRM1 mutations status in the TCGA-KIRC cohort (45 patients; 29 without and 16 with PBRM1 mutation). The gene discussed is PBRM1; the disease is nonpapillary renal cell carcinoma.