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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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The predictive ability of the m6A risk score on glioma patient prognosis. (A) Multivariate Cox regression analysis of risk score combined with clinicopathological characteristics of HR and p-values; analysis showed that the m6A group score is an independent risk factor for the prognosis of glioma patients; (B) The m6A group score combined with clinicopathological characteristics was selected to construct a clinical prediction model; (C–E) The calibration curve of the nomogram; the x-axis is the survival predicted by the nomogram, while the y-axis is the survival actually observed. The curve shows that the model has a good predictive value for one-, two-, and 3-year predictions.