Evidence map›Paper›PMID 38963518›Full record

ArticleCellular oncology (Dordrecht, Netherlands)2025

Comprehensive multiomics analysis of the signatures of gastric mucosal bacteria and plasma metabolites across different stomach microhabitats in the development of gastric cancer.

Bingsen Wang, Jiahui Luan, Weidong Zhao, Junbao Yu, Anqing Li, Xinxin Li, Xiaoqin Zhong, Hongyun Cao, Ruicai Wang, Bo Liu and 2 more

Abstract read
In one paragraph

Article in Cellular oncology (Dordrecht, Netherlands), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Advances inOncology letters · 2026
    Review
  3. Observational
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Bingsen Wang *State Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266237, China.
Jiahui Luan *State Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266237, China.
Weidong Zhao *Shandong University-Zibo Municipal Hospital Research Center of Human Microbiome and Health, Zibo, 255400, China.
Junbao YuState Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266237, China.
Anqing LiShandong University-Zibo Municipal Hospital Research Center of Human Microbiome and Health, Zibo, 255400, China.
Xinxin LiShandong University-Zibo Municipal Hospital Research Center of Human Microbiome and Health, Zibo, 255400, China.
Xiaoqin ZhongShandong University-Zibo Municipal Hospital Research Center of Human Microbiome and Health, Zibo, 255400, China.
Hongyun CaoShandong University-Zibo Municipal Hospital Research Center of Human Microbiome and Health, Zibo, 255400, China.
Ruicai WangDepartment of Pathology, Zibo Municipal Hospital, Zibo, 255400, China.
Bo LiuState Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266237, China.
Shiyong LuShandong University-Zibo Municipal Hospital Research Center of Human Microbiome and Health, Zibo, 255400, China.
Mei ShiState Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266237, China. clubstone@sdu.edu.cn.

Funding

Funds for Qingdao Science and Technology Benefit People Demonstration Guide Special Project 22-3-7-smjk-8-nshNational Key Research and Development Program of China 2021YFA0717002
6 · The paper itself

Abstract

purposeAs an important component of the microenvironment, the gastric microbiota and its metabolites are associated with tumour occurrence, progression, and metastasis. However, the relationship between the gastric microbiota and the development of gastric cancer is unclear. The present study investigated the role of the gastric mucosa microbiome and metabolites as aetiological factors in gastric carcinogenesis.

methodsGastric biopsies from different stomach microhabitats (n = 70) were subjected to 16S rRNA gene sequencing, and blood samples (n = 95) were subjected to untargeted metabolome (gas chromatography‒mass spectrometry, GC‒MS) analyses. The datasets were analysed using various bioinformatics approaches.

resultsThe microbiota diversity and community composition markedly changed during gastric carcinogenesis. High Helicobacter. pylori colonization modified the overall diversity and composition of the microbiota associated with gastritis and cancer in the stomach. Most importantly, analysis of the functional features of the microbiota revealed that nitrate reductase genes were significantly enriched in the tumoral microbiota, while urease-producing genes were significantly enriched in the microbiota of H. pylori-positive patients. A panel of 81 metabolites was constructed to discriminate gastric cancer patients from gastritis patients, and a panel of 15 metabolites was constructed to discriminate H. pylori-positive patients from H. pylori-negative patients. receiver operator characteristic (ROC) curve analysis identified a series of gastric microbes and plasma metabolites as potential biomarkers of gastric cancer.

conclusionThe present study identified a series of signatures that may play important roles in gastric carcinogenesis and have the potential to be used as biomarkers for diagnosis and for the surveillance of gastric cancer patients with minimal invasiveness.

Indexed as

Gastric MucosaGastrointestinal MicrobiomeMetabolomeMetabolomicsStomach NeoplasmsAgedCarcinogenesisFemaleHelicobacter InfectionsHelicobacter pyloriHumansMaleMiddle AgedMultiomicsRNA, Ribosomal, 16SRNA, Ribosomal, 16SGastric cancerGastric microbiotaHelicobacter pyloriMulti-omic analysesPlasma metabolites

Identifiers

PMID38963518
PMCPMC11850404

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.