Kaplan‐Meier survival analyses were performed using the survival and survminer packages in R to compare the OS between different groups of glioma patients. The R package survivalROC was used to establish time‐dependent receiver operating characteristic (ROC) curves to check the accuracy of the risk signatures in predicting the outcomes of glioma patients. The larger the area under the ROC curve (AUC), the stronger the predictive ability of the risk model. A risk plot was drawn using Pheatmap R package to display the distribution of survival status of samples in different risk groups.

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