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Gut mucosal microbiota profiles linked to colorectal cancer recurrence

BACKGROUND: Emerging evidence links gut microbiota to various human diseases including colorectal cancer (CRC) initiation and development. However, gut microbiota profiles associated with CRC recurrence and patient prognosis are not completely understood yet, especially in a Chinese cohort. AIM: To...

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Autores principales: Huo, Rui-Xue, Wang, Yi-Jia, Hou, Shao-Bin, Wang, Wei, Zhang, Chun-Ze, Wan, Xue-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9150055/
https://www.ncbi.nlm.nih.gov/pubmed/35664963
http://dx.doi.org/10.3748/wjg.v28.i18.1946
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author Huo, Rui-Xue
Wang, Yi-Jia
Hou, Shao-Bin
Wang, Wei
Zhang, Chun-Ze
Wan, Xue-Hua
author_facet Huo, Rui-Xue
Wang, Yi-Jia
Hou, Shao-Bin
Wang, Wei
Zhang, Chun-Ze
Wan, Xue-Hua
author_sort Huo, Rui-Xue
collection PubMed
description BACKGROUND: Emerging evidence links gut microbiota to various human diseases including colorectal cancer (CRC) initiation and development. However, gut microbiota profiles associated with CRC recurrence and patient prognosis are not completely understood yet, especially in a Chinese cohort. AIM: To investigate the relationship between gut mucosal microbiota profiles and CRC recurrence and patient prognosis. METHODS: We obtained the composition and structure of gut microbiota collected from 75 patients diagnosed with CRC and 26 healthy controls. The patients were followed up by regular examination to determine whether tumors recurred. Triplet-paired samples from on-tumor, adjacent-tumor and off-tumor sites of patients diagnosed with/without CRC recurrence were analyzed to assess spatial-specific patterns of gut mucosal microbiota by 16S ribosomal RNA sequencing. Next, we carried out bioinformatic analyses, Kaplan-Meier survival analyses and Cox regression analyses to determine the relationship between gut mucosal microbiota profiles and CRC recurrence and patient prognosis. RESULTS: We observed spatial-specific patterns of gut mucosal microbiota profiles linked to CRC recurrence and patient prognosis. A total of 17 bacterial genera/families were identified as potential biomarkers for CRC recurrence and patient prognosis, including Anaerotruncus, Bacteroidales, Coriobacteriaceae, Dialister, Eubacterium, Fusobacterium, Filifactor, Gemella, Haemophilus, Mogibacteriazeae, Pyramidobacter, Parvimonas, Porphyromonadaceae, Slackia, Schwartzia, TG5 and Treponema. CONCLUSION: Our work suggests that intestinal microbiota can serve as biomarkers to predict the risk of CRC recurrence and patient death.
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spelling pubmed-91500552022-06-04 Gut mucosal microbiota profiles linked to colorectal cancer recurrence Huo, Rui-Xue Wang, Yi-Jia Hou, Shao-Bin Wang, Wei Zhang, Chun-Ze Wan, Xue-Hua World J Gastroenterol Basic Study BACKGROUND: Emerging evidence links gut microbiota to various human diseases including colorectal cancer (CRC) initiation and development. However, gut microbiota profiles associated with CRC recurrence and patient prognosis are not completely understood yet, especially in a Chinese cohort. AIM: To investigate the relationship between gut mucosal microbiota profiles and CRC recurrence and patient prognosis. METHODS: We obtained the composition and structure of gut microbiota collected from 75 patients diagnosed with CRC and 26 healthy controls. The patients were followed up by regular examination to determine whether tumors recurred. Triplet-paired samples from on-tumor, adjacent-tumor and off-tumor sites of patients diagnosed with/without CRC recurrence were analyzed to assess spatial-specific patterns of gut mucosal microbiota by 16S ribosomal RNA sequencing. Next, we carried out bioinformatic analyses, Kaplan-Meier survival analyses and Cox regression analyses to determine the relationship between gut mucosal microbiota profiles and CRC recurrence and patient prognosis. RESULTS: We observed spatial-specific patterns of gut mucosal microbiota profiles linked to CRC recurrence and patient prognosis. A total of 17 bacterial genera/families were identified as potential biomarkers for CRC recurrence and patient prognosis, including Anaerotruncus, Bacteroidales, Coriobacteriaceae, Dialister, Eubacterium, Fusobacterium, Filifactor, Gemella, Haemophilus, Mogibacteriazeae, Pyramidobacter, Parvimonas, Porphyromonadaceae, Slackia, Schwartzia, TG5 and Treponema. CONCLUSION: Our work suggests that intestinal microbiota can serve as biomarkers to predict the risk of CRC recurrence and patient death. Baishideng Publishing Group Inc 2022-05-14 2022-05-14 /pmc/articles/PMC9150055/ /pubmed/35664963 http://dx.doi.org/10.3748/wjg.v28.i18.1946 Text en ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
spellingShingle Basic Study
Huo, Rui-Xue
Wang, Yi-Jia
Hou, Shao-Bin
Wang, Wei
Zhang, Chun-Ze
Wan, Xue-Hua
Gut mucosal microbiota profiles linked to colorectal cancer recurrence
title Gut mucosal microbiota profiles linked to colorectal cancer recurrence
title_full Gut mucosal microbiota profiles linked to colorectal cancer recurrence
title_fullStr Gut mucosal microbiota profiles linked to colorectal cancer recurrence
title_full_unstemmed Gut mucosal microbiota profiles linked to colorectal cancer recurrence
title_short Gut mucosal microbiota profiles linked to colorectal cancer recurrence
title_sort gut mucosal microbiota profiles linked to colorectal cancer recurrence
topic Basic Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9150055/
https://www.ncbi.nlm.nih.gov/pubmed/35664963
http://dx.doi.org/10.3748/wjg.v28.i18.1946
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