ArticleDiscover oncology2023
Analysis of bacterial diversity and community structure in gastric juice of patients with advanced gastric cancer.
Article in Discover oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Gut microbiome alterations during gastric cancer: evidence assessment of case-control studies.Frontiers in microbiology · 2024Pooled it
- Article
- Metallic elements and their molecular roles in gastric cancer: Pathogenic mechanisms and therapeutic implications.World journal of gastrointestinal oncology · 2026Review
- Gastric bacterial microbiota and gastric carcinogenesis: from dysbiosis to immune remodeling and therapeutic opportunities.Frontiers in immunology · 2026Review
- Article
- Advances in 16S rRNA-Based Microbial Biomarkers for Gastric Cancer Diagnosis and Prognosis.Microbial biotechnology · 2025Review
- The dynamic oral-gastric microbial axis connects oral and gastric health: current evidence and disputes.NPJ biofilms and microbiomes · 2025Review
- Review
- Distinct oral-associated gastric microbiota andmSystems · 2024Article
- Characteristics of Gastric Mucosa-Associated Microbiota in Patients with Early Gastric Cancer After Successful Helicobacter pylori Eradication.Digestive diseases and sciences · 2023Article
- Changes in salivary microbiota due to gastric cancer resection and its relation to gastric fluid microbiota.Scientific reports · 2023Article
- Intratumoral microbiota: implications for cancer onset, progression, and therapy.Frontiers in immunology · 2023Review
- Review
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe occurrence and development of gastric cancer are related to microorganisms, which can be used as potential biomarkers of gastric cancer.
objectiveTo screen the microbiological markers of gastric cancer from the microorganisms of gastric juice.
methodsGastric juice samples were collected from 61 healthy people and 78 patients with gastric cancer (48 cases of early gastric cancer and 30 cases of advanced gastric cancer). The bacterial 16 S rRNA V1-V4 region of gastric juice samples was sequenced. The Shannon index, Simpson index, Ace index and Chao index were used to analyze the diversity of gastric juice samples. The RDP classifier Bayesian algorithm was used to analyze the community structure of 97% OTU representative sequences with similar levels. Linear discriminant analysis and ST-test were used to analyze the differences. Six machine learning algorithms, including the logistic regression algorithm, random forest algorithm, neural network algorithm, support vector machine algorithm, Catboost algorithm and gradient lifting tree algorithm, were used to construct risk prediction models for gastric cancer and advanced gastric cancer.
resultsThe microbiota diversity and the abundance of bacteria was different in the healthy group, early gastric cancer and advanced gastric cancer (P < 0.05). The top five abundant bacteria among the three groups were Streptococcus, Rhodococcus, Prevotella, Pseudomonas and Helicobacter. Bacterial flora such as Streptococcus, Rhodococcus and Ochrobactrum were significantly different between the healthy group and the gastric cancer group. The accuracy of the random forest prediction model is the highest (82.73% correct). The bacteria with the highest predictive value included Streptococcus, Lactobacillus and Ochrobactrum. The abundance of bacteria such as Fusobacterium, Capnocytophaga, Atopobium, Corynebacterium was high in the advanced gastric cancer group.
conclusionGastric juice bacteria can be used as potential biomarkers to predict the occurrence and development of gastric cancer.
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Registered trials
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.