Fig. 4

The molecular function and mechanism of the senescence-metabolism-related risk model (SeMRM) in clear cell renal cell carcinoma (ccRCC).

(A) Senescence metabolism-related risk score (SeMRM) and gene set enrichment analysis (GSEA) of the renal cancer progression signaling pathway. P < 0. 05 and false discovery rate (FDR) < 0. 05 were considered significant. (B) Comparison of the heatmaps of differentially expressed genes (DEGs) between the high-SeMRM group and the low-SeMRM group. P < 0. 05,| FC| > 1. 5. (C) Gene Ontology (GO) analysis was used to explore the molecular functions and biological processes of these DEGs. (D) Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed the main pathways involved in these DEGs. (E) Gene sets related to amino acid metabolism in high or low SeMRM subgroups (p < 0. 05, FDR < 0. 25). (F) Gene sets related to lipid metabolism in high or low SeMRM subgroups (p < 0. 05, FDR < 0. 25)