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. 2026 Mar 10;16:8699. doi: 10.1038/s41598-026-43501-z

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© The Author(s) 2026

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Fig. 2 — Consensus cluster classification by m6A methylation regulators and the risk signature comprising three m6A methylation regulators. (A) Consensus clustering matrix for k = 2. (B)Relative area change under the cumulative distribution function curve for k = 2 to 6. (C) PCA of the total RNA expression profile of two clusters in the TCGA database. Clusters 1 and 2 were marked red and blue, respectively. (D) Kaplan-Meier curves of overall survival. (E) Heatmap and clinicopathologic features of the two clusters (cluster1/2) (F) Univariate Cox analysis of 17 m6A methylation regulators in PTC patients. HRs and 95% CIs were calculated.