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. 2020 Jul 3;18:271. doi: 10.1186/s12967-020-02436-3

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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 — Gene expression cluster 3 is predictive of response in SCC but not in AD. a Zoom-in of cluster 3 of the heatmap from Fig. 1a. Samples are ordered on the average expression of the genes per subtype. b Kaplan–Meier plots of AD samples divided into high (top 1/3) and low (bottom 2/3) expression of the 34-gene signature. c Kaplan–Meier plot of SCC samples divided into high (top 1/3) and low (bottom 2/3) expression of the 34-gene signature. d Same analysis as in b and c in two independent validation sets (GSE8894 and GSE14814). e Boxplot of the expression level of the 34-gene signature in AD and SCC samples (p = 0.534)