Research Paper Advance Articles

A risk signature of four aging-related genes has clinical prognostic value and is associated with a tumor immune microenvironment in glioma

Two categories of patients based on distinct clinical characteristics and the OS according to the expression levels of the four survival-associated AGs in the TCGA datasets. (A) Spearman’s correlation analysis of the four survival-associated AGs (LEP, TERT, PON1, and SSTR3) in the TCGA datasets. (B) The relative change of the area under the cumulative distribution function (CDF) for K =2-9. (C) The consistency clustering CDF curve for K = 2-9. (D) Clinical characteristics of two clusters identified based on the expression levels of the four survival-associated AGs in the TCGA datasets. (E) Principal component analysis (PCA) for the total mRNA expression profile based on TCGA datasets. (F) Kaplan-Meier (KM) curves for 628 cluster1 and cluster2 glioma patients based on the TCGA datasets. * P P P

Figure 2. Two categories of patients based on distinct clinical characteristics and the OS according to the expression levels of the four survival-associated AGs in the TCGA datasets. (A) Spearman’s correlation analysis of the four survival-associated AGs (LEP, TERT, PON1, and SSTR3) in the TCGA datasets. (B) The relative change of the area under the cumulative distribution function (CDF) for K =2-9. (C) The consistency clustering CDF curve for K = 2-9. (D) Clinical characteristics of two clusters identified based on the expression levels of the four survival-associated AGs in the TCGA datasets. (E) Principal component analysis (PCA) for the total mRNA expression profile based on TCGA datasets. (F) Kaplan-Meier (KM) curves for 628 cluster1 and cluster2 glioma patients based on the TCGA datasets. * P < 0.05, ** P < 0.01, and *** P < 0.001.