ArticleBMC microbiology2022
Analysis of gastric microbiome reveals three distinctive microbial communities associated with the occurrence of gastric cancer.
Article in BMC microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.
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Who cites it
41 citing papers in PubMed, 3 syntheses or guidelines pooled it, 66 citations in OpenAlex.
- Artificial intelligence at the gut-oral microbiota frontier: mapping machine learning tools for gastric cancer risk prediction.Biomedical engineering online · 2025Pooled it
- Intratumoral and fecal microbiota reveals microbial markers associated with gastric carcinogenesis.Frontiers in cellular and infection microbiology · 2024Pooled it
- Predicting Personalized Diets Based on Microbial Characteristics between Patients with Superficial Gastritis and Atrophic Gastritis.Nutrients · 2023Pooled it
- The evolving landscape of the Warburg effect in gastric cancer: From molecular mechanisms to targeted therapy.Clinical and translational medicine · 2026Review
- Remodeling of Gut Microbiota Metabolic Function Is Associated with the Therapeutic Effects of Wenweishu Capsules in Chronic Gastritis.International journal of molecular sciences · 2026Article
- Comprehensive analysis of the gastric metatranscriptome reveals specific viral signatures associated with gastric cancer.International microbiology : the official journal of the Spanish Society for Microbiology · 2026Article
- Gastric Microbiota Dysbiosis and Microbiome-Based Interventions in Chronic Atrophic Gastritis.Nutrients · 2026Review
- The dual role of gastric microbiota dysbiosis in gastric cancer progression and therapy.International journal of clinical oncology · 2026Review
- Concomitant Assessment of Oral and Gastric Microbiota Composition in Autoimmune Gastritis Patients: A Case-Control Study.Microorganisms · 2026Article
- The Role of Nitrate-Reducing Bacteria Isolated fromMicroorganisms · 2026Article
- Metagenomic analysis of the intragastric and oral microbiome associated with gastric carcinogenesis after Helicobacter pylori eradication.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2026Article
- Revisiting multi-region 16S sequencing in gastric cancer.World journal of gastrointestinal oncology · 2026Article
- Longitudinal remodeling of gastric microbiota followingFrontiers in cellular and infection microbiology · 2026Article
- Molecular Mechanisms and Biomarkers Driving the Transition From Chronic Atrophic Gastritis to Gastric Cancer.Clinical Medicine Insights. Oncology · 2026Review
- Diagnostic oral microbiota signatures for gastric cancer and associations with carcinogenic signaling pathways.Journal of oral microbiology · 2026Article
- The role of gut microbiota and its metabolites in preventing oncogenesis.Frontiers in cell and developmental biology · 2026Review
- Exploring compositional and predicted functional alterations of gut microbiota in H. pylori infection.Scientific reports · 2025Article
- Effectiveness of multi-region 16S rRNA gene sequencing in studying the microbiome of gastric cancer tissues.World journal of gastrointestinal oncology · 2025Article
- Review
- Hidden in Plain Sight: Delayed Diagnosis of Poorly Cohesive Gastric Carcinoma in a Young Male Patient.Cureus · 2025Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGastric microbial dysbiosis were reported to be associated with gastric cancer (GC). This study aimed to explore the variation, diversity, and composition patterns of gastric bacteria in stages of gastric carcinogenesis based on the published datasets.
methodsWe conducted a gastric microbial analysis using 10 public datasets based on 16S rRNA sequencing, including 1270 gastric biopsies of 109 health control, 183 superficial gastritis (SG), 135 atrophic gastritis (AG), 124 intestinal metaplasia (IM), 94 intraepithelial neoplasia (IN), 344 GC, and 281 adjacent normal tissues. And QIIME2-pipeline, DESeq2, NetMoss2, vegan, igraph, and RandomForest were used for the data processing and analysis.
resultsWe identified three gastric microbial communities among all the gastric tissues. The first community (designate as GT-H) was featured by the high abundance of Helicobacter. The other two microbial communities, namely GT-F, and GT-P, were featured by the enrichment of phylum Firmicutes and Proteobacteria, respectively. The distribution of GC-associated bacteria, such as Fusobacterium, Peptostreptococcus, Streptococcus, and Veillonella were enriched in tumor tissues, and mainly distributed in GT-F type microbial communities. Compared with SG, AG, and IM, the bacterial diversity in GC was significantly reduced. And the strength of microbial interaction networks was initially increased in IM but gradually decreased from IN to GC. In addition, Randomforest models constructed in in GT-H and GT-F microbial communities showed excellent performance in distinguishing GC from SG and precancerous stages, with varied donated bacteria.
conclusionsThis study identified three types of gastric microbiome with different patterns of composition which helps to clarify the potential key bacteria in the development of gastric carcinogenesis.
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