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. 2021 Nov 18;12:6704. doi: 10.1038/s41467-021-26871-y

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© The Author(s) 2021

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. 3 — a Conceptual diagram showing that a low entropy value that summarizes the distribution of a fusion across cancer types indicates the fusion gene is cancer type-specific. b Scatter plot showing the statistical significance of gene fusions for loss of internal degrons when also considering information on cancer type-specificity. X-axis represents the combined p value for both degron loss and cancer type-specificity (Fisher’s method), while the Y-axis represents the effect size for degron loss. P values were calculated using a one-sided permutation test. See “Methods” for additional details on calculation of p values. c Scatter plot indicating the most recurrent fusion genes for particular cancer types. Fusion genes with degron loss are labeled in color, including internal degrons, C-terminal degrons, and those degrons previously known in the literature. d A schematic diagram showing the fusion of EML4 and ALK genes in lung adenocarcinoma. e A schematic diagram showing the fusion of NUP98 and NSD1 genes in lung adenocarcinoma. The relevant raw data are provided in Source Data.