Cited by 695Helicobacter pylori-related gastroenterology studiesGut microbiota and healthOral microbiology and periodontitis research

Mucosal microbiome dysbiosis in gastric carcinogenesis

Open access
Coker, Olabisi Oluwabukola, Dai, Zhenwei, Nie, Yongzhan, Zhao, Guijun, Cao, Lei, Nakatsu, Geicho, Wu, William KK, Wong, Sunny Hei +3 more·2018·Gut

Abstract

Objectives: We aimed to characterise the microbial changes associated with histological stages of gastric tumourigenesis. Design: We performed 16S rRNA gene analysis of gastric mucosal samples from 81 cases including superficial gastritis (SG), atrophic gastritis (AG), intestinal metaplasia (IM) and gastric cancer (GC) from Xi’an, China, to determine mucosal microbiome dysbiosis across stages of GC. We validated the results in mucosal samples of 126 cases from Inner Mongolia, China. Results: We observed significant mucosa microbial dysbiosis in IM and GC subjects, with significant enrichment of 21 and depletion of 10 bacterial taxa in GC compared with SG (q<0.05). Microbial network analysis showed increasing correlation strengths among them with disease progression (p<0.001). Five GC-enriched bacterial taxa whose species identifications correspond to Peptostreptococcus stomatis , Streptococcus anginosus , Parvimonas micra , Slackia exigua and Dialister pneumosintes had significant centralities in the GC ecological network (p<0.05) and classified GC from SG with an area under the receiver-operating curve (AUC) of 0.82. Moreover, stronger interactions among gastric microbes were observed in Helicobacter pylori -negative samples compared with H. pylori -positive samples in SG and IM. The fold changes of selected bacteria, and strengths of their interactions were successfully validated in the Inner Mongolian cohort, in which the five bacterial markers distinguished GC from SG with an AUC of 0.81. Conclusions: In addition to microbial compositional changes, we identified differences in bacterial interactions across stages of gastric carcinogenesis. The significant enrichments and network centralities suggest potentially important roles of P. stomatis , D. pneumosintes , S. exigua , P. micra and S. anginosus in GC progression.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1136/gutjnl-2017-314281

Cites

52 of 52 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Through the induction of different metabolic pathways, such bacteria could have a role in gastric cancer (GC) progression.

    “Through the induction of different metabolic pathways, such bacteria could have a role in gastric cancer (GC) progression[61].”
  • High gastric pH values can give rise to a different bacterial balance characterized by a significant increase in oral bacteria, such as Peptostreptococcus stomatis, Streptococcus anginosus, Parvimonas micra, Slackia exigua and Dialister pneumosintes.

    “Moreover, high gastric pH values can give rise to a different bacterial balance characterized by a significant increase in oral bacteria, such as Pepto-streptococcus stomatis, Streptococcus anginosus, Parvimonas micra, Slackia exigua and Dialister pneumosintes.”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [11]Zheng YS, Chen ZL, Sai XY, et al Cross-sectional analysis of Helicobacter pylori infection in physical examination population. Chinese journal of clinical medicine 2013; 7: 100444– 10047.

Cited by

Sorted by citations

Authors
Coker, O. O., Dai, Z., Nie, Y., Zhao, G., Cao, L., Nakatsu, G., Wu, W. K., Wong, S. H., Chen, Z., Sung, J. J. Y., & Yu, J.
Affiliations
  • Chinese University of Hong Kong (HK)
  • Xijing Hospital (CN)
  • Inner Mongolia People's Hospital (CN)
  • Department of Medicine and Therapeutics, Institute of Digestive Disease, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, CUHK Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong, China
Corresponding author
Yu, Jun
Venue
Gut
Publisher
BMJ
Published
2017-08-01
Volume
67
Issue
6
Pages
1024-1032
ISSN
  • 0017-5749 (ISSN-L)
  • 1468-3288
OpenAlex
W2739778494
Cited by
695
References
52
Citations by year
2026: 78 · 2025: 87 · 2024: 100 · 2023: 94 · 2022: 83 · 2021: 109 · 2020: 71 · 2019: 43 · 2018: 24 · 2017: 4
FWCI
39.75
Type
journal article
Language
en
Open access
Licence
cc-by-nc
Locations
  • Gut (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • HighWire Press Open Archive (submittedVersion)
Topics
  • Health Sciences › Medicine › Surgery › Helicobacter pylori-related gastroenterology studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
Keywords
gastric carcinogenesis, gastric microbiota, dysbiosis, gastric cancer, atrophic gastritis, intestinal metaplasia, superficial gastritis, Helicobacter pylori, bacterial interaction networks, Peptostreptococcus stomatis, Streptococcus anginosus, Parvimonas micra, Slackia exigua, Dialister pneumosintes, bacterial biomarkers, disease progression
MeSH terms
Adult, Aged, Aged, 80 and over, Cell Transformation, Neoplastic, China, Female, Gastric Mucosa, Humans, Male, Middle Aged, RNA, Ribosomal, 16S, Stomach, Stomach Neoplasms, Area Under Curve, Young Adult, Carcinogenesis, Microbiota, Dysbiosis

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review