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. 2018 Oct 16;50(10):136. doi: 10.1038/s12276-018-0169-z

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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 — a Graph showing calculated RTVs (RTV of treated tumor/RTV of control tumor × 100) for individual tumors from mice treated with vinblastine. b Responses of BRCA1-allograft tumors to vinblastine, segregated based on the RTV (non-responder, RTV >50; responder, RTV <50). c Protein expression patterns in responder and non-responder tumors from vehicle-treated and vinblastine (VBL)-treated mice. Histone H3 and β-actin were used as loading controls. d Histological analyses of vinblastine-treated tumors from responders and non-responders are shown. The arrows indicate the stroma (upper panels) and fibrosis with collagen deposition (blue; lower panels). Scale bars: 50 μm. e Protein expression patterns in baseline tumors from responders and non-responders. Histone H3, β-actin, and GAPDH were used as loading controls. f Heat map showing downregulation and upregulation of selected genes in the vinblastine-responder group compared with the non-responder group in the allograft model; P < 0.01. Tumor samples are sorted with respect to their RTV to highlight correlations with gene expression. g Integrated functional network analysis of the selected genes using the STRING protein interaction network and KEGG pathways