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. 2018 Nov 28;4:38. doi: 10.1038/s41523-018-0092-4

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© The Author(s) 2018

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. 6 — CCNE1/RB1 ratio as a poor prognostic factor and a marker of palbociclib resistance. a Kaplan–Meyer plot of METABRIC dataset²² (n = 1904). b Kaplan–Meyer plot of METABRIC ER+ samples (n = 1445). c Kaplan–Meyer plot of METABRIC ERneg samples (n = 429). Samples are divided into two groups according to the ratio of CCNE1 to RB1 expression. Cut-off is set to 1. P-values are calculated with log-rank test. d Box plot of the distributions of the ratio between gene expression level of CCNE1 to RB1 expression (CCNE1/RB1) in the NeoPalAna dataset²³ for Palbociclib-sensitive (white) and resistant (gray) patients at the different time points. P-values are calculated by Wilcoxon–Mann–Whitney (WMW) test. e Bar plot showing the CCNE1/RB1 (dark gray), CCNE1 (gray), and RB1 (light gray) AUC values for discriminating between palbociclib-sensitive and resistant patients at the different time points