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. 2021 Nov 11;21:315. doi: 10.1186/s12866-021-02375-z

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© The Author(s) 2021

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. 1 — Heat map of changes in the relative abundance of Actinobacteria phylum across all studies. Regression coefficients from GAMLSS-BEZI are log (odds ratio) (log(OR)) of changes in the relative abundance of a specific bacterial taxon between the case and control groups and pooled log (OR) estimate is from a random-effects meta-analysis. The case group is considered as the reference group and shown in the heat map. Log(OR) > 0 indicates an increase and log(OR) < 0 indicates a decrease in the relative abundance of Actinobacteria in tumor tissues as compared to tumor-adjacent normal tissues