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Analysis of gastric microbiome reveals three distinctive microbial communities associated with the occurrence of gastric cancer
BACKGROUND: Gastric 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. METHODS: We conducted a gastric mic...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308235/ https://www.ncbi.nlm.nih.gov/pubmed/35870901 http://dx.doi.org/10.1186/s12866-022-02594-y |
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author | Liu, Dehua Zhang, Rutong Chen, Si Sun, Baolin Zhang, Kaiguang |
author_facet | Liu, Dehua Zhang, Rutong Chen, Si Sun, Baolin Zhang, Kaiguang |
author_sort | Liu, Dehua |
collection | PubMed |
description | BACKGROUND: Gastric 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. METHODS: We 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. RESULTS: We 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. CONCLUSIONS: This 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12866-022-02594-y. |
format | Online Article Text |
id | pubmed-9308235 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-93082352022-07-24 Analysis of gastric microbiome reveals three distinctive microbial communities associated with the occurrence of gastric cancer Liu, Dehua Zhang, Rutong Chen, Si Sun, Baolin Zhang, Kaiguang BMC Microbiol Research BACKGROUND: Gastric 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. METHODS: We 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. RESULTS: We 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. CONCLUSIONS: This 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12866-022-02594-y. BioMed Central 2022-07-23 /pmc/articles/PMC9308235/ /pubmed/35870901 http://dx.doi.org/10.1186/s12866-022-02594-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Liu, Dehua Zhang, Rutong Chen, Si Sun, Baolin Zhang, Kaiguang Analysis of gastric microbiome reveals three distinctive microbial communities associated with the occurrence of gastric cancer |
title | Analysis of gastric microbiome reveals three distinctive microbial communities associated with the occurrence of gastric cancer |
title_full | Analysis of gastric microbiome reveals three distinctive microbial communities associated with the occurrence of gastric cancer |
title_fullStr | Analysis of gastric microbiome reveals three distinctive microbial communities associated with the occurrence of gastric cancer |
title_full_unstemmed | Analysis of gastric microbiome reveals three distinctive microbial communities associated with the occurrence of gastric cancer |
title_short | Analysis of gastric microbiome reveals three distinctive microbial communities associated with the occurrence of gastric cancer |
title_sort | analysis of gastric microbiome reveals three distinctive microbial communities associated with the occurrence of gastric cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308235/ https://www.ncbi.nlm.nih.gov/pubmed/35870901 http://dx.doi.org/10.1186/s12866-022-02594-y |
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