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. 2020 Mar 2;39(17):3541–3554. doi: 10.1038/s41388-020-1237-0

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© The Author(s) 2020

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. 2 — a A heatmap demonstrates the hierarchical clustering using the top 1000 variable genes of all samples (n = 2322). The color bar and legend show the primary site and histology of the samples, respectively. b The distribution of clusters 1 and 2 per tumor type stratified by histological type is shown. c PCA using the top 1000 variable genes of all samples (n = 2322) is shown. The color and legend in each plot show the primary site and histology, respectively. d Ten top-ranked overrepresented pathways in cluster 1 based on GSEA by using HALLMARK gene sets and GO gene sets are shown.