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. 2020 Aug 20;13:116. doi: 10.1186/s12920-020-00765-2

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© The Author(s) 2020

Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 3 — Hierarchical clustering identified patient groups based on race-differentiated SCNAs in breast tumors and their association with survival. a Hierarchical clustering and the gap statistic identified three molecular breast cancer patient groups (BRG1–3) based on race-differentiated SCNAs shared with prostate cancer, and the contributions of the component SCNA to each are displayed in the SCNA heatmap. b Kaplan-Meier 10-year overall survival curves by BRG. c 10-year progression-free survival (PFS) curves by BRG. Kaplan-Meier 10-year overall survival (OS) curves by BRG for women d with triple negative breast cancer (TNBC) and e those without TNBC. Kaplan-Meier 10-year PFS curves by BRG for women f with TNBC and g those without TNBC