Cited by 370Gut microbiota and healthOral microbiology and periodontitis researchClostridium difficile and Clostridium perfringens research

The DOI matches its Crossref record; 31 of the 32 references it cites were found in a registry or an index.

Colorectal Cancer and the Human Gut Microbiome: Reproducibility with Whole-Genome Shotgun Sequencing

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Abstract

Accumulating evidence indicates that the gut microbiota affects colorectal cancer development, but previous studies have varied in population, technical methods, and associations with cancer. Understanding these variations is needed for comparisons and for potential pooling across studies. Therefore, we performed whole-genome shotgun sequencing on fecal samples from 52 pre-treatment colorectal cancer cases and 52 matched controls from Washington, DC. We compared findings from a previously published 16S rRNA study to the metagenomics-derived taxonomy within the same population. In addition, metagenome-predicted genes, modules, and pathways in the Washington, DC cases and controls were compared to cases and controls recruited in France whose specimens were processed using the same platform. Associations between the presence of fecal Fusobacteria, Fusobacterium, and Porphyromonas with colorectal cancer detected by 16S rRNA were reproduced by metagenomics, whereas higher relative abundance of Clostridia in cancer cases based on 16S rRNA was merely borderline based on metagenomics. This demonstrated that within the same sample set, most, but not all taxonomic associations were seen with both methods. Considering significant cancer associations with the relative abundance of genes, modules, and pathways in a recently published French metagenomics dataset, statistically significant associations in the Washington, DC population were detected for four out of 10 genes, three out of nine modules, and seven out of 17 pathways. In total, colorectal cancer status in the Washington, DC study was associated with 39% of the metagenome-predicted genes, modules, and pathways identified in the French study. More within and between population comparisons are needed to identify sources of variation and disease associations that can be reproduced despite these variations. Future studies should have larger sample sizes or pool data across studies to have sufficient power to detect associations that are reproducible and significant after correction for multiple testing.

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Metadata

Authors
Vogtmann, E., Hua, X., Zeller, G., Sunagawa, S., Voigt, A. Y., Hercog, R., Goedert, J. J., Shi, J., Bork, P., & Sinha, R.
Affiliations
  • National Cancer Institute (US)
  • European Molecular Biology Laboratory (DE)
  • German Cancer Research Center (DE)
Corresponding author
Vogtmann, Emily
Venue
PLOS ONE
Published
2016-05-12
Volume
11
Issue
5
Pages
e0155362
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2377027462
Cited by
366
References
32
Citations by year
2026: 32 · 2025: 42 · 2024: 46 · 2023: 34 · 2022: 44 · 2021: 44 · 2020: 53 · 2019: 25 · 2018: 20 · 2017: 23 · 2016: 3
FWCI
12.30
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, public-domain)
  • Europe PMC (PubMed Central) (publishedVersion, public-domain)
  • PubMed Central (publishedVersion, public-domain)
  • PubMed (publishedVersion)
  • MDC Repository (Max-Delbrueck-Center for Molecular Medicine) (acceptedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Online Publication Service of Würzburg University (Würzburg University) (submittedVersion, public-domain)
Funders
  • National Cancer Institute (Intramural Research Program)
  • European Research Council (268985)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
  • Health Sciences › Medicine › Infectious Diseases › Clostridium difficile and Clostridium perfringens research
Keywords
colorectal cancer, gut microbiota, metagenomics, 16S rRNA, whole genome shotgun sequencing, reproducibility, Fusobacterium, Porphyromonas, Clostridia, fecal microbiota, cross-population comparison
MeSH terms
Gastrointestinal Microbiome, District of Columbia, Female, Humans, Male, Middle Aged, RNA, Ribosomal, 16S, Colorectal Neoplasms, Reproducibility of Results, Genome, Human, Case-Control Studies, Sequence Analysis, DNA

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