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. 2022 Jun 2;12:899443. doi: 10.3389/fonc.2022.899443

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Copyright © 2022 Ba, Su, Gao, Liao, Wu, Cao, Liang, Gong and Guo

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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Development of the risk NRG_score in the training dataset. (A) PCA analysis based on the NRG_score. The blue and yellow dots represent the high- and low-risk groups, respectively. (B) Comparison of NRG_score in different NRGclusters. (C) Comparison of NRG_score in different geneClusters. (D) Alluvial diagram of the distribution of subtypes with different NRG_score and survival outcomes. (E) The ranked dot of the distribution of the NRG_score. (F) Scatter plots of the distribution of the survival status in patients from high- and low-risk groups. (G) The expression of genes in the NRG_score model in patients from two risk groups. (H) Kaplan-Meier survival analysis of the two risk groups. (I) ROC curves of the NRG_score model for predicting the sensitivity and specificity of 1-, 3-, 5-year survival in patients with glioma.