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. 2022 Mar 31;12:717926. doi: 10.3389/fonc.2022.717926

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Copyright © 2022 Yang, Chen, Wang, Wang, Zhang, Yue, Zheng, Li, Bian and Zhao

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 risk model. (A) Univariate analysis presents the hazard ratios and P-value of nineteen pyroptosis-related genes by the forest plot. (B) Cross-validation for adjusting parameter choice in LASSO regression analysis. (C) The risk signature containing eleven pyroptosis-related genes and the corresponding coefficients. (D, E) Kaplan–Meier survival curves for glioma patients from the TCGA (D) and CGGA (E) datasets in high- and low-risk groups. (F, G) Surveying the risk model in TCGA (F) and CGGA (G) datasets: distribution and survival status in glioma patients between the two risk groups. (H, I) The predictive efficiency of the risk score is presented by the ROC curves in both TCGA (H) and CGGA (I) datasets.