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. 2023 Jan 31;25:13. doi: 10.1186/s13058-023-01606-7

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© The Author(s) 2023

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. 1 — Association between gene expression levels of hormone receptors and immunological profile of the breast cancer tissue. a–f Scatterplots showing a correlation between the gene expression levels of estrogen receptor 1 (ESR1), progesterone receptor (PGR), and androgen receptor (AR), and absolute score estimated by CIBERSORTx. g–i Graphs showing the correlation coefficient (r-value) between indicated gene expression and the absolute amount of various immune cell fractions estimated by CIBERSORTx. Immune cell fraction data showing consistently significant p-values in the METABRIC and SCAN-B datasets have been displayed in ascending order of r-value