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. 2022 Sep 12;13:951239. doi: 10.3389/fgene.2022.951239

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Copyright © 2022 Miao, Liu, Liu, Yuan, Li, Zhang, Zhan and Feng.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Evaluation of the prognostic significance of risk score in the training cohort. (A,B) Distribution of risk scores, patient survival time, and glioma status (The line with black dots represents the optimum threshold value for categorising patients into low- and high-risk populations). (C,D) PCA and t-SNE analysis illustrated an excellent clustering performance of the five-gene-based risk score. (E) The expression patterns of five CNRGs that were included in the signature as mapped out in a heatmap using the training dataset. (F–H) Survival curve of training cohort. (I) ROC curves of training cohort.