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. 2023 Mar 11;18:51. doi: 10.1186/s13014-023-02241-4

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© The Author(s) 2023

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. 7 — CpG methylation status of leading edge intersect genes shows poor correlation between DNA methylation and therapy resistance. Correlation analyses of DNA methylation beta values (shown in purple) and relative log2 mRNA expression levels (shown in green) of leading edge intersect genes of the REACTIVE_OXYGEN_SPECIES_PATHWAY, MTORC1_SIGNALING, and TNFA_SIGNALING_VIA_NFKB hallmark gene sets. Coefficients of significant negative correlation are depicted by heat map clustering (shown in dark pink), and scaled resistance scores to single-shot and fractionated RTX (REACTIVE_OXYGEN_SPECIES_PATHWAY), or single-shot RTX + TMZ (MTORC1_SIGNALING, and TNFA_SIGNALING_VIA_NFKB) are shown by unsupervised hierarchical clustering