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. 2022 May 6;8:60. doi: 10.1038/s41523-022-00428-8

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© The Author(s) 2022

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. 4 — a Boxplots showing sensitivity to doxorubicin in CCND1 neutral (left) and amplified (right) breast cancer cell lines in the GDSC1000 database. b Boxplots showing the association between CCND1 gene expression levels and response to neoadjuvant doxorubicin + cyclophosphamide in ER+ tumors from our neoadjuvant cohort. pCR pathological complete response. c Boxplots showing the association between CCND1 gene expression levels and response to neoadjuvant doxorubicin + cyclophosphamide in triple negative tumors from our neoadjuvant cohort. pCR pathological complete response. d Effect of CCND1 overexpression on doxorubicin sensitivity in T47D (CCND1 neutral) breast cancer cell lines. Blue: control, red and black: CCND1 overexpression. Mean ± SD values of two independent CCND1 overexpressing cell lines (O/E #1, O/E #2),with technical replicates are depicted (n = 3). e Effect of CCND1 knock-down on doxorubicin sensitivity in ZR-75-1 (CCND1 amplified) breast cancer cell lines. Blue: control, red: upon CCND1 knock-down. Mean ± SD values of independent biological replicates are shown (n = 2). For box plots in this figure, the boxes indicate the interquartile range, while lower and upper bars correspond to the minimum and maximum non-outlier values of the data distribution. Outliers are defined as values outside 1.5× the interquartile range from the box. The center line indicates the median value.