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. 2020 Jun 22;20:585. doi: 10.1186/s12885-020-07075-x

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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. 2 — Gene expression profiles for colon cancer tissue samples. Volcano plot showing the expression profiles of genes in groups with high or low stromal scores (a) and with high or low immune scores (b). The red and green dots in the volcano plot represent up-regulated and down-regulated genes, respectively. Venn diagram (c) showing overlapping differentially expressed genes in analyses of genes related to stromal scores and immune scores. The GDC TCGA Colon Cancer (COAD) dataset (version 07-19-2019) was downloaded from TCGA (https://xenabrowser.net/). For the analysis of the infiltrating stromal and immune cells in tumor tissues, Estimation of STromal and Immune cells in MAlignant Tumours using Expression data (ESTIMATE, version 1.0.13) implemented in R was used