To present the clinical utility of radiomics features in ccRCC, we first estimated the power of radiomics features to predict four commonly mutated genes (VHL, BAP1, PBRM1 and SETD2) of 137 patients and four molecular subtypes (m1-m4) reflected by mRNA patterns of 180 patients (Table 1). The gene discussed is SETD2; the disease is nonpapillary renal cell carcinoma.