ArticleWorld journal of gastroenterology2023
Comparison of genomic and transcriptional microbiome analysis in gastric cancer patients and healthy individuals.
Article in World journal of gastroenterology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Gut microbiome alterations during gastric cancer: evidence assessment of case-control studies.Frontiers in microbiology · 2024Pooled it
- Integration of localized microbiome, metabolome, and clinical datasets predicts healing in chronic wounds among veterans.bioRxiv : the preprint server for biology · 2025Article
- Effectiveness of multi-region 16S rRNA gene sequencing in studying the microbiome of gastric cancer tissues.World journal of gastrointestinal oncology · 2025Article
- Gut microbiome and gastric cancer: microbial interactions and therapeutic potential.Gut pathogens · 2025Review
- The relationship between the gastric cancer microbiome and clinicopathological factors: a metagenomic investigation from the 100,000 genomes project and The Cancer Genome Atlas.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2025Article
- Dysregulated gastric microbial communities and functional shifts in chronic atrophic versus non-atrophic gastritis: a Helicobacter pylori-Negative observational study.BMC gastroenterology · 2025Observational
- Comparison of different microbiome analysis pipelines to validate their reproducibility of gastric mucosal microbiome composition.mSystems · 2025Article
- Advances in 16S rRNA-Based Microbial Biomarkers for Gastric Cancer Diagnosis and Prognosis.Microbial biotechnology · 2025Review
- Lower respiratory tract microbiome dysbiosis impairs clinical responses to immune checkpoint blockade in advanced non-small-cell lung cancer.Clinical and translational medicine · 2025Article
- Characteristics of gastric fluid microbiota in patients with refractoryFrontiers in microbiology · 2025Article
- Review
- Detailed Characterization of the Lung-Gut Microbiome Axis Reveals the Link between PD-L1 and the Microbiome in Non-Small-Cell Lung Cancer Patients.International journal of molecular sciences · 2024Article
- The Role of the Intestinal Microbiome in Multiple Sclerosis-Lessons to Be Learned from Hippocrates.Biology · 2023Review
- Exploring the Microbiome in Gastric Cancer: Assessing Potential Implications and Contextualizing Microorganisms beyondCancers · 2023Review
- Identification of a brand intratumor microbiome signature for predicting prognosis of hepatocellular carcinoma.Journal of cancer research and clinical oncology · 2023Article
- Microbial composition of tumorous and adjacent gastric tissue is associated with prognosis of gastric cancer.Scientific reports · 2023Article
- Gastric Cancer: The Microbiome Beyond Helicobacter pylori.Current topics in microbiology and immunology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background
aimTo characterize the microbiota of GC using 16S rRNA gene and its transcript and determine difference in the bacterial composition.
methodsIn this study, 316 DNA and RNA samples extracted from 105 individual stomach biopsies were included. The study cohort consisted of 29 healthy control individuals and 76 patients with GC. Gastric tissue biopsy samples were collected from damaged mucosa and healthy mucosa at least 5 cm from the tumor tissue. From the controls, healthy stomach mucosa biopsies were collected. From all biopsies RNA and DNA were extracted. RNA was reverse transcribed into cDNA. V1-V2 region of bacterial 16S rRNA gene from all samples were amplified and sequenced on an Illumina MiSeq platform. Bray-Curtis algorithm was used to construct sample-similarity matrices abundances of taxonomic ranks in each sample type. For significant differences between groups permutational multivariate analysis of variance and Mann-Whitney test followed by false-discovery rate test were used.
resultsMicrobial analysis revealed that only a portion of phylotypes (18%-30%) overlapped between microbial profiles obtained from DNA and RNA samples. Detailed analysis revealed differences between GC and controls depending on the chosen modality, identifying 17 genera at the DNA level and 27 genera at the RNA level. Ten of those bacteria were found to be different from the control group at both levels. The key taxa showed congruent results in various tests used; however, differences in 7 bacteria taxa were found uniquely only at the DNA level, and 17 uniquely only at the RNA level. Furthermore, RNA sequencing was more sensitive for detecting differences in bacterial richness, as well as differences in the relative abundance of
conclusionComprehensive microbial study provides evidence for the effect of choice of sequencing modality on the microbiota profile, as well as on the identified differences between case and control.
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Registered trials
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