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. 2022 Feb 17;10:740822. doi: 10.3389/fcell.2022.740822

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Copyright © 2022 Wang, Zhang, Zhang, Dai, Liang, Li, Peng, Zhang, Liu, Liu, Yang and Cheng.

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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Establishment and verification of the scoring model in the training and validation cohorts. (A) Volcano plot of differently expressed genes in the two clusters from TCGA database. (B) Elastic network map of 21 genes that were associated with prognosis in the two clusters from the TCGA database. Kaplan-Meier analysis of patients in low-risk and high-risk groups from the TCGA database for OS (C), PFI (D), and DSS (E). (F) Kaplan-Meier analysis of patients in low-risk and high-risk groups from the CGGA301 database for OS. (G) Kaplan-Meier analysis of patients in low-risk and high-risk groups from the CGGA325 database for OS. Heatmap of different glioma features and expression of CMTM in the low-risk and high-risk groups from the TCGA (H), CGGA301 (I), and CGGA325 (J) databases. Sankey diagram of different expression patterns of glioma features in cluster 1 and cluster 2 from TCGA (K), CGGA301 (L), and CGGA325 (M) databases, analyzed by the log-rank test.