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. 2022 Jul 4;22:729. doi: 10.1186/s12885-022-09791-y

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© The Author(s) 2022

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. 4 — Construction of signature and statistically validation. A Column chart represents the weight of genes in the signature. B Sankey diagram to better state the modeling progress. C, D Phenotypic relationship between cluster and risk score. E Relationship of m7G related genes in high and low risk score group. F, G Forest maps illustrate uni and multi variant cox regression analysis. HR > 1 demonstrates that the element is risk factor. H C-index value estimates the probability that the predicted results are consistent with the actually observed results. In this diagram, our signature has the best performance