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. 2024 Feb 1;15:963. doi: 10.1038/s41467-024-45128-y

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© The Author(s) 2024

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 — a Venn diagram of genes with antiproliferative function in MYC^high and MYC^low conditions. b Volcano plot of Beta score versus significance (-log₁₀(FDR)) of genes with FDR < 0.05 in the MYC^low condition. Genes with antiproliferative properties (significant positive Beta score) are highlighted in green. Exemplary tumor suppressor genes are indicated. c KEGG pathway analysis of top 50 genes with significant positive Beta score in the MYC^low condition. d Comparison of known tumor suppressor genes (TSGs) and human orthologues of genes with antiproliferative function in the MYC^low condition. Known TSGs were derived from the Cancer Gene Census (https://cancer.sanger.ac.uk/cosmic/census). e Survival analysis of TCGA-LIHC assessing the effect of APOB mutation status on survival probability in HCC (p-value and hazard ratio (HR) from logrank test). For this figure, source data are provided as a Source Data file.