Fig. 1

Identification, Investigating, Construction and analysis of differentially expressed genes (SeMDEG) related to aging metabolism in renal cell carcinoma (RCC). (A) Venn diagram of aging metabolism-related differential genes (SeMDEGs). p < 0.05,|FC| > 1.5. Bubble plots of the first 10 terms in (B) Kyoto Encyclopedia of Genes and Genomes (KEGG) mDEG enrichment analysis. After adjustment, p < 0. 01, p < 0. 05. (C) The protein‒protein interaction (PPI) network of the top 100 hub genes of these mDEGs. (D) Correlation of OS-related key mDEG. (E) Least absolute shrinkage and selection operator (LASSO) Cox regression of OS-related key senescence-metabolism-related differentially expressed genes (mDEG). (F) Multivariate Cox regression analysis was performed on 7 genes based on cross-validation and minimum partial likelihood bias to further demonstrate independent prognosis-related genes and obtain a gene index. (G) Kaplan‒Meier analysis of OS curves in TCGA renal cell carcinoma patients with low or high SeMRM subgroups. (H) ROC analysis showed that the predictive accuracy of SeMRM was better than that of other clinical features in the TCGA-KIRC cohort. (I) Multivariate Cox regression analysis of SeMRM and clinical features