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. 2022 Aug 15;12:905653. doi: 10.3389/fcimb.2022.905653

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Copyright © 2022 Nie, Wang, Huang, Yang, Gong, Feng and Yang

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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Prediction of microbiome phenotypes and functions. (A) Phenotypes prediction was conducted by BugBase analysis, including gram-positive, gram-negative, biofilm forming, stress tolerance, potential pathogenicity, aerobic, anaerobic, facultatively aerobic and mobile elements. (B) Microbial functional profile was predicted by Tax4Fun2 based on the KEGG pathway, and statistically analyzed by STAMP. KEGG pathways with significant abundance difference (P < 0.05) are shown. C, tumor tissue; PC, paracancerous tissue. ns, no significance; *P < 0.05, **P < 0.005, ***P < 0.001.