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. 2022 Feb 9;13:795777. doi: 10.3389/fmicb.2022.795777

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Copyright © 2022 Liu, Li, Qi, Wen and Zhang.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Microbiome functional changes between groups. (A) The KEGG database counted the abundance of each knumber, found the knumber contained in the corresponding pathway, summed the abundances of all the knumbers contained in the pathway, and then normalized it to 100%. After that, finding the corresponding level 2 of the pathway, and calculating their separately relative abundance. KEGG pathways that significantly decreased as the disease progressed. (B,C) The VFDB database using mapped ORF in gene set calculated the abundance from the aspects of gene and VF number. It also added the abundance of genes or the same VF number, and then normalized it to 100%. Analysis of significant differences in virulence-related genes and virulence factors among the four groups. Some virulence factors had increased expression with tumor progression. (using Kruskal-Wallis non-parametric tests, *p < 0.05, **p < 0.01, ***p < 0.001).