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. 2022 Feb 14;22:80. doi: 10.1186/s12935-022-02483-4

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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. 5 — The differential expression of GSDM genes across immune subtypes and the association between GSDM genes expression and TME/DNAss/RNAss. A The distribution of GSDM expression across immune subtypes. C1 (wound healing); C2 (IFN-gamma dominant); C3 (inflammatory); C4 (lymphocyte depleted); C6 (TGF-b dominant). B Matrix graph of Spearman's Rank-Order Correlation between GSDM genes expression and Immunescore/Stromascore. Cancer types and GSDM genes were shown on the horizontal and vertical axis respectively. C Correlation matrix between GSDM genes expression and cancer stemness scores RNAss and DNAss. Cancer types and GSDM genes were shown on the horizontal and vertical axis respectively