Cargando…

Multi-cohort analysis of colorectal cancer metagenome identified altered bacteria across populations and universal bacterial markers

BACKGROUND: Alterations of gut microbiota are associated with colorectal cancer (CRC) in different populations and several bacterial species were found to contribute to the tumorigenesis. The potential use of gut microbes as markers for early diagnosis has also been reported. However, cohort specifi...

Descripción completa

Detalles Bibliográficos
Autores principales: Dai, Zhenwei, Coker, Olabisi Oluwabukola, Nakatsu, Geicho, Wu, William K. K., Zhao, Liuyang, Chen, Zigui, Chan, Francis K. L., Kristiansen, Karsten, Sung, Joseph J. Y., Wong, Sunny Hei, Yu, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5896039/
https://www.ncbi.nlm.nih.gov/pubmed/29642940
http://dx.doi.org/10.1186/s40168-018-0451-2
_version_ 1783313760807550976
author Dai, Zhenwei
Coker, Olabisi Oluwabukola
Nakatsu, Geicho
Wu, William K. K.
Zhao, Liuyang
Chen, Zigui
Chan, Francis K. L.
Kristiansen, Karsten
Sung, Joseph J. Y.
Wong, Sunny Hei
Yu, Jun
author_facet Dai, Zhenwei
Coker, Olabisi Oluwabukola
Nakatsu, Geicho
Wu, William K. K.
Zhao, Liuyang
Chen, Zigui
Chan, Francis K. L.
Kristiansen, Karsten
Sung, Joseph J. Y.
Wong, Sunny Hei
Yu, Jun
author_sort Dai, Zhenwei
collection PubMed
description BACKGROUND: Alterations of gut microbiota are associated with colorectal cancer (CRC) in different populations and several bacterial species were found to contribute to the tumorigenesis. The potential use of gut microbes as markers for early diagnosis has also been reported. However, cohort specific noises may distort the structure of microbial dysbiosis in CRC and lead to inconsistent results among studies. In this regard, our study targeted at exploring changes in gut microbiota that are universal across populations at species level. RESULTS: Based on the combined analysis of 526 metagenomic samples from Chinese, Austrian, American, and German and French cohorts, seven CRC-enriched bacteria (Bacteroides fragilis, Fusobacterium nucleatum, Porphyromonas asaccharolytica, Parvimonas micra, Prevotella intermedia, Alistipes finegoldii, and Thermanaerovibrio acidaminovorans) have been identified across populations. The seven enriched bacterial markers classified cases from controls with an area under the receiver-operating characteristics curve (AUC) of 0.80 across the different populations. Abundance correlation analysis demonstrated that CRC-enriched and CRC-depleted bacteria respectively formed their own mutualistic networks, in which the latter was disjointed in CRC. The CRC-enriched bacteria have been found to be correlated with lipopolysaccharide and energy biosynthetic pathways. CONCLUSIONS: Our study identified potential diagnostic bacterial markers that are robust across populations, indicating their potential universal use for non-invasive CRC diagnosis. We also elucidated the ecological networks and functional capacities of CRC-associated microbiota. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-018-0451-2) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5896039
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-58960392018-04-12 Multi-cohort analysis of colorectal cancer metagenome identified altered bacteria across populations and universal bacterial markers Dai, Zhenwei Coker, Olabisi Oluwabukola Nakatsu, Geicho Wu, William K. K. Zhao, Liuyang Chen, Zigui Chan, Francis K. L. Kristiansen, Karsten Sung, Joseph J. Y. Wong, Sunny Hei Yu, Jun Microbiome Research BACKGROUND: Alterations of gut microbiota are associated with colorectal cancer (CRC) in different populations and several bacterial species were found to contribute to the tumorigenesis. The potential use of gut microbes as markers for early diagnosis has also been reported. However, cohort specific noises may distort the structure of microbial dysbiosis in CRC and lead to inconsistent results among studies. In this regard, our study targeted at exploring changes in gut microbiota that are universal across populations at species level. RESULTS: Based on the combined analysis of 526 metagenomic samples from Chinese, Austrian, American, and German and French cohorts, seven CRC-enriched bacteria (Bacteroides fragilis, Fusobacterium nucleatum, Porphyromonas asaccharolytica, Parvimonas micra, Prevotella intermedia, Alistipes finegoldii, and Thermanaerovibrio acidaminovorans) have been identified across populations. The seven enriched bacterial markers classified cases from controls with an area under the receiver-operating characteristics curve (AUC) of 0.80 across the different populations. Abundance correlation analysis demonstrated that CRC-enriched and CRC-depleted bacteria respectively formed their own mutualistic networks, in which the latter was disjointed in CRC. The CRC-enriched bacteria have been found to be correlated with lipopolysaccharide and energy biosynthetic pathways. CONCLUSIONS: Our study identified potential diagnostic bacterial markers that are robust across populations, indicating their potential universal use for non-invasive CRC diagnosis. We also elucidated the ecological networks and functional capacities of CRC-associated microbiota. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-018-0451-2) contains supplementary material, which is available to authorized users. BioMed Central 2018-04-11 /pmc/articles/PMC5896039/ /pubmed/29642940 http://dx.doi.org/10.1186/s40168-018-0451-2 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research
Dai, Zhenwei
Coker, Olabisi Oluwabukola
Nakatsu, Geicho
Wu, William K. K.
Zhao, Liuyang
Chen, Zigui
Chan, Francis K. L.
Kristiansen, Karsten
Sung, Joseph J. Y.
Wong, Sunny Hei
Yu, Jun
Multi-cohort analysis of colorectal cancer metagenome identified altered bacteria across populations and universal bacterial markers
title Multi-cohort analysis of colorectal cancer metagenome identified altered bacteria across populations and universal bacterial markers
title_full Multi-cohort analysis of colorectal cancer metagenome identified altered bacteria across populations and universal bacterial markers
title_fullStr Multi-cohort analysis of colorectal cancer metagenome identified altered bacteria across populations and universal bacterial markers
title_full_unstemmed Multi-cohort analysis of colorectal cancer metagenome identified altered bacteria across populations and universal bacterial markers
title_short Multi-cohort analysis of colorectal cancer metagenome identified altered bacteria across populations and universal bacterial markers
title_sort multi-cohort analysis of colorectal cancer metagenome identified altered bacteria across populations and universal bacterial markers
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5896039/
https://www.ncbi.nlm.nih.gov/pubmed/29642940
http://dx.doi.org/10.1186/s40168-018-0451-2
work_keys_str_mv AT daizhenwei multicohortanalysisofcolorectalcancermetagenomeidentifiedalteredbacteriaacrosspopulationsanduniversalbacterialmarkers
AT cokerolabisioluwabukola multicohortanalysisofcolorectalcancermetagenomeidentifiedalteredbacteriaacrosspopulationsanduniversalbacterialmarkers
AT nakatsugeicho multicohortanalysisofcolorectalcancermetagenomeidentifiedalteredbacteriaacrosspopulationsanduniversalbacterialmarkers
AT wuwilliamkk multicohortanalysisofcolorectalcancermetagenomeidentifiedalteredbacteriaacrosspopulationsanduniversalbacterialmarkers
AT zhaoliuyang multicohortanalysisofcolorectalcancermetagenomeidentifiedalteredbacteriaacrosspopulationsanduniversalbacterialmarkers
AT chenzigui multicohortanalysisofcolorectalcancermetagenomeidentifiedalteredbacteriaacrosspopulationsanduniversalbacterialmarkers
AT chanfranciskl multicohortanalysisofcolorectalcancermetagenomeidentifiedalteredbacteriaacrosspopulationsanduniversalbacterialmarkers
AT kristiansenkarsten multicohortanalysisofcolorectalcancermetagenomeidentifiedalteredbacteriaacrosspopulationsanduniversalbacterialmarkers
AT sungjosephjy multicohortanalysisofcolorectalcancermetagenomeidentifiedalteredbacteriaacrosspopulationsanduniversalbacterialmarkers
AT wongsunnyhei multicohortanalysisofcolorectalcancermetagenomeidentifiedalteredbacteriaacrosspopulationsanduniversalbacterialmarkers
AT yujun multicohortanalysisofcolorectalcancermetagenomeidentifiedalteredbacteriaacrosspopulationsanduniversalbacterialmarkers