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. 2019 Aug 21;9:12174. doi: 10.1038/s41598-019-48634-y

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© The Author(s) 2019

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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(A) Heatmap of OS samples obtained using the list of 397 genes (see Supplementary Table 3) that are differentially expressed (adjusted p < 0.05) between primary tumors and PDX. Genes (columns) and samples (rows) were grouped by hierarchical clustering (Manhattan correlation). High- and low- expression is normalized to the average expression across all samples. (B) Map of “Immune response_Antigen presentation by MHC class I” pathway, which is the top scored (lowest p value) map based on Genego pathway enrichment analysis. Experimental data (OS PDX/primary tumor ratio) from microarray experiments are visualized on the map as thermometer-like figures. Significantly upregulated genes show upward, red bars, while down-regulated genes show downward, blue bars.