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. 2020 Nov 23;12:102. doi: 10.1186/s13073-020-00796-5

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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. 4 — Functional annotations and pathway analysis of the microbe-associated genes. a Integrated analysis of key microbe-associated genes: functionalannotation and log₂FC value of gene from each patient (n = 32, left panel), DFS (based on GEPIA, middle panel), and OS (based on GEPIA, right panel). The red line denotes the average values. Heatmaps represent the log₁₀ (hazard ratio) value of each gene in each kind of tumor. The dark square box denotes that the clinical prognosis was statistically significant. b The GO enrichment analysis based on Metascape. c Pathway analysis based on DAVID 6.8. d Pairwise gene expression correlation analysis using the Pearson method shows interdependent relationships and gene co-expression according to GEPIA. LIHC, Hepatocellular carcinoma; CHOL, Cholangial carcinoma; PAAD, Pancreatic adenocarcinoma; COAD, Colon adenocarcinoma; READ, Rectum adenocarcinoma