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. 2022 Jan 7;22:44. doi: 10.1186/s12885-021-09085-9

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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 — Comparison of tumor mutational burden and possible sensitivity to immunotherapy for CRC subgroups. a Top 20 genes most frequently mutated in TCGA CRC patients in groups I + II, III, and IV. b Comparison of the tumor mutation load across the three CRC subgroups in TCGA. c Plots show immune checkpoint genes of the three CRC subgroups in TCGA. d The same as panel c, but for the GSE39582 cohort. e Heatmaps show the correlation between transcriptomic expression patterns of melanoma patients receiving PD1 or CTLA4 inhibitors and CRC subgroups in TCGA. f The same as panel e, but for the GSE39582 dataset. ***P < 0.001