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. This evidence concerns the gene LAMA4 and nonpapillary renal cell carcinoma.