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. 2021 Mar 1;12:616507. doi: 10.3389/fgene.2021.616507

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Copyright © 2021 Tan, Zhu, Tang, Liu, Wanggou, Cao, Xin, Zhou, Zhan, Wu, Guo, Jiang, Zhao, Ren, Jiang and Yin.

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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Construction and validation of the stemness subtype-related risk score model. (A) The 11 genes were selected by least absolute shrinkage and selection operator (LASSO) Cox analysis in TCGA dataset. Risk scores and living status for each patient in the training cohort (B) and the validation cohort (C). (D) Kaplan-Meier curves of the OS of each patient in the training cohort. (E) Time-dependent ROC curve analysis of the risk score model in the training cohort (TCGA dataset). (F) The risk score distributions in different molecular subtypes of glioma (TCGA dataset). (G) Kaplan-Meier curves of the OS of each patient in the validation cohort (CCGA dataset). (H) Time-dependent ROC curve analysis of the risk score model in the validation cohort (CCGA dataset). (I) The risk score distributions in different molecular subtypes of glioma (CGGA dataset). ^***p < 0.001 and ^****p < 0.0001.