Hybrid Metabolic Activity-Related Prognostic Model and Its Effect on Tumor in Renal Cell Carcinoma

Figure 2

Construction of the hybrid metabolic activity-related prognostic model in the training set. (a) The Venn diagram shows the intersection of glycolysis and oxidative phosphorylation-related gene sets and differential genes in renal cell carcinoma. B&C: the forest map exhibits the results of univariate regression analysis of 26 selected genes associated with hybrid metabolic activity (b) and the multivariate regression model based on these genes screened by stepwise COX regression analysis (c). (d) The K–M curve of patients in high risk and low risk groups. (e) The scatter plot plots the patient’s survival time (top) and the distribution of risk scores estimated by the prognostic model (middle). The heatmap (bottom) shows the expression levels of 8 genes involved in the construction of prognosis model in patients in high risk and low risk groups. (f) Violin diagrams of the relationship between the expression of key genes in glycolysis (ALDH1A1, LDHA, and LDHB) (g) and OXPHOS (PRKAA2) (F) metabolic pathways and risk scores.

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