The Cibersort algorithm was used in 530 ccRCC samples from TCGA and compared the differential levels of immune checkpoints activation (CD160, CD69, TNF, IFNG, PRF1, and GZMB) and exhaustion (PDCD1, KLRG1, LAG3, TIGIT, HAVCR2, CTLA4, CD28, CD96, PD-L1, PD-L2, and SIGLEC10) signatures. The gene discussed is CTLA4; the disease is nonpapillary renal cell carcinoma.