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. 2021 May 31;6:37. doi: 10.1038/s41525-021-00202-y

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© The Author(s) 2021

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 Heatmap for global expression (estimated with the GSVA algorithm) of immune cell markers in each TCGA tumor type. b Stacked bar plot for the proportion of immune microenvironment type in each tumor type. The number in each bar is the number of tumor samples assigned to the corresponding TME classification (high: inflamed, low: noninflamed, median: excluded). c Heatmap for the differentially expressed molecular characteristics (including mRNA, lncRNA, miRNA). The heatmap cell is colored according to the fold change of genes in differential expression analysis, where red represents genes that are upregulated in noninflamed tumors. d Overview of the molecular signature differences between inflamed and noninflamed TMEs. The fraction in the left panel represents the proportion of molecular characteristics from a tumor type among the molecular characteristics from all tumor types.