A Novel Glucose Metabolism-Related Gene Signature for Overall Survival Prediction in Patients with Glioblastoma

Figure 4

Evaluating the efficiencies of the risk signature in the CGGA and REMBRANDT datasets. (a, b) Kaplan-Meier survival curves showed the prognostic value of the risk signature in the CGGA dataset ((a) low-risk group, ; high-risk group, ; ) and REMBRANDT dataset ((b) low-risk group, ; high-risk group, ; ). (c, d) ROC curves evaluated the efficiency of the risk signature for predicting 1-, 3-, and 5-year survival in the (c) CGGA dataset and the (d) REMBRANDT dataset. Associations between the signature risk score and clinical features. (e) The heat map shows the associations between the risk signature and clinical characteristics (gender, age, KPS score, transcriptome subtype, IDH1 status, and MGMT promoter status) in the TCGA database. Functional roles of the risk signature. (f, g) GSVA showed the (f) biological processes and the (g) KEGG pathways associated with the risk signature.

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