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. 2022 Apr 26;13:873764. doi: 10.3389/fgene.2022.873764

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Copyright © 2022 Zhang, Zheng, Lv, Shi and Shi.

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 of a prognostic-related m6A characteristic model and regulation of biological processes. (A) The sankey diagram shows the correlation between gene clusters, prognostic-related m6A features (m6Agroup), and patient prognostic status (OS); (B) Survival analysis shows that the prognostic-related m6A feature model can better predict the overall survival rate of glioma patients (Log-rank p < 0.001); (C–H) gene-set enrichment analysis (GSEA) of high- and low-risk patients, the representative gene set downloaded from the MSigDB database, with 1,000 repetitions for each run; GSEA results show that enriched genes of glioma patients in the low m6A group are closely related to hallmark oxidative phosphorylation, adipogenesis, hedgehog signaling and MYC Target V1.