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. 2019 May 15;10:2138. doi: 10.1038/s41467-019-10148-6

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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. 2 — Comparison of genomic profiles between MET500 breast cancer samples and CCLE breast cancer cell lines. a Somatic mutation profile of the 75 genes across MET500 breast cancer samples and CCLE breast cancer cell lines. The top-side color bar indicates data sources (MET500 or CCLE) and the right-side color bar indicates mutation frequency. b Comparison of CNV profiles between MET500 breast cancer samples and CCLE breast cancer cell lines. c Comparison of CNV profiles between MET500 breast cancer samples and the 33 primary-site derived CCLE breast cancer cell lines. d Comparison of CNV profiles between MET500 breast cancer samples and the 24 metastatic-site-derived CCLE breast cancer cell lines. In panels b–d, each dot is a gene, with y-axis representing its median CNV value across MET500 breast cancer samples, and x-axis representing its median CNV value across CCLE breast cancer cell lines. In panels c and d, genes with high copy-number-gain in MET500 breast cancer samples were marked by red. Source data are provided as a Source Data file