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. 2021 Sep 20;12:739768. doi: 10.3389/fimmu.2021.739768

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Copyright © 2021 Sun, Xie, Zhang, Wang, Huang and Xia

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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Identification of m⁶A-related gene subtypes. (A) Heat map of sample clustering under k = 2 in 5 independent PC cohorts. (B) Consensus clustering cumulative distribution function (CDF) with the number of subtypes k = 2 to 9. (C) The relative change of the area under the CDF curve of k = 2 to 9. (D) Survival analysis of patients in two m⁶A-related gene clusters. (E) Unsupervised clustering of m⁶A related signature genes. (F) Differences in the expression of 23 m⁶A regulators between distinct gene clusters. (G) TME immune-infiltrating characteristics and transcriptome traits of two m⁶A-related gene clusters. ***P < 0.001; **P < 0.01; *P < 0.05.