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. 2022 Apr 21;13(4):392. doi: 10.1038/s41419-022-04838-1

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© The Author(s) 2022

Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 2 — Numbers of variants per sample in HMP group (A) and LMP group (B). C Intra-tumor genetic heterogeneity measured by MATH (Mutant-allele tumor heterogeneity). Top 10 mutated genes and their mutation rate in HMP group (D) and LMP group (E). Enrichment of known Oncogenic Signaling Pathways in HMP group (F) and LMP group (G). Each gene is represented as a dot, while their horizontal and vertical coordinates indicate numbers of genes in pathways and numbers of mutated genes in pathways, respectively. Sizes of dots represent the proportion of mutated genes in pathways. H The mutational rates of 35 genes known as DNA damage and repair genes in HMP group and LMP group. I Functional analysis of Gene Ontology (GO) analyzed the annotation of 176 candidate driver mutations.