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. 2022 Jun 3;13:839957. doi: 10.3389/fgene.2022.839957

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Copyright © 2022 Zhang, Zhang, Xie, Che, Xia, Cai and Liu.

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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Verifying the risk model. (A,B) LASSO Cox regression analysis of 6 m⁶A-related lncRNAs with prognostic value. (C) Survival status and expressive heatmap of 4 m⁶A-LPMs in the training group (red indicates high expression, green indicates low expression). (D) Survival status and expressive heatmap of 4 m⁶A-LPMs in the test group (red indicates high expression, green indicates low expression). (E,F) Kaplan-Meier curve of 4 m⁶A-LPMs in the training group (E) and test group (F). (G,H) time-ROC curves of 4 m⁶A-LPMs in the training group (G) and test group (H). LASSO, the least absolute shrinkage and selection operator; ROC, the receiver operating characteristic curve; m⁶A-LPMs, m⁶A-related lncRNA prognostic markers. Statistical methods: Chi-square test, log-rank test.