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. 2018 Apr 6;50(4):6. doi: 10.1038/s12276-017-0009-6

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© The Author(s) 2018

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, and provide a link to the Creative Commons license. You do not have permission under this license to share adapted material derived from this article or parts of it. 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, http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Fig. 4 — a A heatmap showing 32 recurrent SDMs in DGC. A bar plot indicating mutations of N0 (red) and N3 (blue) tumors. Rows are ordered by the differential frequency between N0 and N3 subgroups. b N3 tumor-specific SDMs that were validated by the Sanger sequencing method. The read alignments were evaluated using Integrated Genome Brower (IGV) software. c A heatmap showing recurrently mutated genes in N3 tumors (Fisher’s exact test for N0 vs. N3, P < 0.05) compared to those in N0 tumors collected from our data and TCGA data