Fig. 5

Immune and mutation characteristics of subgroups with different metabolic-related risk scores. (A) The top 20 genes with higher mutation rates in the high or low SeMRM groups and related mutation categories. (B) The 15 genes with the most obvious difference in mutation between the high and low SeMRM groups. (C-D) Immune microenvironment and immunotherapy-related scores in the high and low SeMRM groups. (E) Correlation between SeMRM and classical immune checkpoints. (F) The expression of TNFRSF18 and CEACAM1 in the high and low SeMRM subgroups. (G) Receiver operating characteristic (ROC) analysis showed that the predictive accuracy of the metabolic-related risk model (SeMRM) for the response to immunotherapy was slightly higher than that of other clinical features in the TCGA-KIRC cohort. (H) T-cell subset umap; different colors represent different subsets. (I) Differentiation trajectory of T cells in ccRCC; each color is encoded as false time (top) and cluster (bottom). (J) High or low SeMRM subtypes and marker gene high or low expression subtype T-cell subset pseudotime series analysis. **p < 0. 01; ***p < 0. 001