Dataset Information

Gut Microbiota Dysbiosis in the Development and Progression of Gastric Cancer.

ABSTRACT:

Objectives

This study aims to explore gut microbiota dysbiosis in the histological stages of gastric cancer (GC).

Methods

Feces samples and clinical characteristics were collected from patients with different stages of GC, including 15 superficial gastritis (SG), 13 atrophic gastritis (AG), 8 gastric mucosal atypical hyperplasia (GMAH), and 15 advanced GC cases. The diversity and composition of gut microbiota among the four groups were determined by sequencing the V4 region of bacterial 16S rRNA genes.

Results

Reduced gut microbial alpha diversity and altered dissimilarity of the microbial community structure were found among the four groups. In addition, 18 species, 6 species, 6 species, and 16 species of bacteria were enriched in the SG, AG, GMAH, and GC groups, respectively, using the linear discriminant analysis (LDA) effect size (LEfSe) analyses. Besides, we found that two new genera, Scardovia and Halomonas, are associated with GC and the metabolic pathways of Genetic information processing and Circulatory System were more abundant in the GC group compared with noncancer groups.

Conclusions

We identified differences in microbial compositional changes across stages of GC. Six genera and two metabolic pathways were more abundant in the GC group than noncancer groups, suggesting that these findings may contribute to the therapy strategies in GC in the near feature.

SUBMITTER: Miao Y

PROVIDER: S-EPMC9441395 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Publications

Gut Microbiota Dysbiosis in the Development and Progression of Gastric Cancer.

Miao Yingying Y Tang Hui H Zhai Qizhi Q Liu Lu L Xia Lu L Wu Wenhan W Xu Yue Y Wang Jianning J

Journal of oncology 20220828

<h4>Objectives</h4>This study aims to explore gut microbiota dysbiosis in the histological stages of gastric cancer (GC).<h4>Methods</h4>Feces samples and clinical characteristics were collected from patients with different stages of GC, including 15 superficial gastritis (SG), 13 atrophic gastritis (AG), 8 gastric mucosal atypical hyperplasia (GMAH), and 15 advanced GC cases. The diversity and composition of gut microbiota among the four groups were determined by sequencing the V4 region of bac ...[more]

PMID: 36072968

Similar Datasets

Project description:BackgroundMicrobes have been shown to contribute to gastric cancer (GC), gastric bacteria and viruses are associated with gastric carcinogenesis. However, the relationship between gastric fungi and GC is still unclear. Our aim was to evaluate the gastric fungal microbiota in the GC microenvironment.MethodsGastric fungal microbiome profiling was performed with internal transcribed spacer (ITS) rDNA sequencing in primary tumor and corresponding paired normal mucosal tissues from 61 GC patients. Differences in microbial composition, taxa diversity, and predicted function were further analyzed.ResultsDysbiosis of gastric mucosal fungal microbiome was observed between the tumor and normal groups in GC. The tumor group had a higher abundance of certain taxa than the normal group. In the taxa classification, the abundances of Pezizomycetes, Sordariales, Chaetomiaceae, and Rozellomycota were lower in the tumor group than in the normal group. At the genus level, Solicoccozyma (P = 0.033) was found in higher abundance and was differentially enriched in the tumor group with Lefse analysis. Additionally, Solicoccozyma accounted for 0.3% of gastric fungi in the GC microenvironment. Twenty-seven of the 61 GC patients showed positive Solicoccozyma expression in tumors. Solicoccozyma-positive expression in tumors was associated with the Bormann classification and nerve invasion. Solicoccozyma was considered a gastric fungal marker to classify stage I and stage II-IV GC patients with an area under the receiver-operating curve (AUC) of 0.7061, as well as to classify the nerve invasive and nonnerve invasive tumors from GC patients with an AUC of 0.6978. Functional prediction indicated that the positive expression of Solicoccozyma in tumors was associated with the amino acid- and carbohydrate-related metabolic pathways in GC.ConclusionsThis study revealed a novel perspective on the role of Solicoccozyma in tumors and a theoretical basis for therapeutic targets against GC.

Dataset Information

Gut Microbiota Dysbiosis in the Development and Progression of Gastric Cancer.

Objectives

Methods

Results

Conclusions

Publications

Gut Microbiota Dysbiosis in the Development and Progression of Gastric Cancer.

Similar Datasets

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