Fig. 2

Identification of immune subtypes in KIRC. a Sample clustering heatmap; b Kaplan-Meier curves of the association of immune subtypes with overall survival; c Association of immune subtype with pathological T, N, and M stage. RIS, renal cancer immune subtype; d-e Association of immune subtypes with TMB (d) and mutation number (e); f Top 30 mutated genes in RIS1 and RIS2; g Distribution of immune activity scores in RIS1 and RIS2; h Expression of immune checkpoints between RIS1 and RIS2; i Association of immune subtypes with immune score, estimate score, tumor purity, and CYT; j Immune infiltration score heatmap; k Relationship between immune subtypes and existing pan-cancer immune subtypes; l Immune landscape in KIRC. Each dot represents one patient, and the immune subtype is color coded. The horizontal axis represents the first principal component, and the vertical axis represents the second principal component; m The heatmap of the correlation between the two principal components and immune cells; n The immune landscape of subgroup of KIRC immune subtype; o The immune landscape of samples from three extreme positions; p The prognosis of three extreme positions. CYT, immune cytolytic activity; RIS, renal cancer immune subtype; ns, not significant. * p < 0.05, ** p < 0.01, *** p < 0.001 and **** p < 0.0001