Identification of a 5-Gene Metabolic Signature for Predicting Prognosis Based on an Integrated Analysis of Tumor Microenvironment in Lung Adenocarcinoma

Figure 3

The performance of this signature in training set and testing set. The samples were classified into high- and low-risk group according to the median of risk score in the TCGA cohort. (A, B) The curve of risk score which represented the distribution of patients. (C, D) The dot plot which represented the survival status of patients. (E, F) The heatmap which represented the expression profiling of the 5 genes in the entire dataset. (G, H) The comparison of the AUC to the clinical features and risk scores. (I, J) Kaplan–Meier survival curves for the prediction of prognostic outcomes based on the metabolic gene signature. In both training set and testing set, significant differences were observed in high- and low-risk groups. (a) TCGA cohort. (b) GEO cohort.

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