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. 2021 Aug 26;21:453. doi: 10.1186/s12935-021-02163-9

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© The Author(s) 2021

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, 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 changes were made. 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/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 3 — Construction of prognostic risk signature with 3 m6A RNA methylation regulators. A Univariate Cox analysis of m6A RNA methylation regulators in all TCGA melanoma cohort. B The combinations of low- or high- IGF2BP3, RBM15B, and METTL16 genes expression in the TCGA dataset. C–D LASSO Cox regression analysis of the selected three m6A RNA methylation regulators. E The coefficients estimated by multivariate Cox regression. F The distributions of risk scores. G The distributions of risk scores and OS status. The red dots represent high-risk patients, green dots represent low-risk patients