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. 2019 Feb 13;10:733. doi: 10.1038/s41467-019-08554-x

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© The Author(s) 2019

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. 7 — Putative therapeutic target HAMPs across cancers. a The workflow for the putative therapeutic target HAMP analysis. An unweighted numeric sum of the numbers of recurrent events for a given HAMP was calculated across all cancer types (referred to as the pan-cancer recurrent score). b Summary of the recurrent score of the putative cancer-causing HAMPs driven by recurrent genomic alterations. The size of the bubble: the overall recurrent score. Red: amplification; blue: deletion; yellow: mutation. The HAMPs coding in black and gray indicate a gene with overall recurrent score ≥ 6 and < 6, respectively. The phylogenetic trees were generated by multiple sequence alignments of the full-length sequences of the proteins. c Summary of the recurrent events of the HAMPs in each cancer type. The size of the bubble: total recurrent events. Red: amplification; blue: deletion; yellow: mutation. The phylogenetic trees were generated by multiple sequence alignments of the full-length sequences of the proteins. d Summary of the results of a database search for publications, patent applications, small molecule drugs, and clinical trials related to each HAMP. The HAMPs are ranked according to their PubTator scores. HAMPs with overall recurrent scores > 5 are highlighted as red bars. The color intensity represents the recurrent score. The pie diagrams at the bottom summarize the percentages of the HAMPs that are writer, both writer and reader, reader, and eraser genes for potential targets, publications, patent applications, small molecular drugs, and clinical trials. e A word cloud of the putative therapeutic target HAMPs identified in this study. The size of the font represents the recurrent score. The color of the font indicates the type of genomic alterations. Black: understudied targets (PubTator score < 150 and recurrent score > 5); red: well-studied targets (PubTator score ≥ 150 and recurrent score > 5; the intensity of red indicates the PubTator score); gray: potential targets (recurrent score ≤ 5)