Using AUC = 0.85 as the cutoff value, we found that the gene MTCP1 (AUC = 0.9747) had the largest AUC value, followed by PIK3R5 (AUC = 0.969), IL2RB (AUC = 0.9646), VEGFA (AUC = 0.9643), and LAMA4 (AUC = 0.9614), indicating that these five genes had better diagnostic accuracy for ccRCC and could identify patients with ccRCC from the population easily. Here, VEGFA is linked to nonpapillary renal cell carcinoma.