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Salivary Microbiota for Gastric Cancer Prediction: An Exploratory Study

To characterize the salivary microbiota in patients at different progressive histological stages of gastric carcinogenesis and identify microbial markers for detecting gastric cancer, two hundred and ninety-three patients were grouped into superficial gastritis (SG; n = 101), atrophic gastritis (AG;...

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Autores principales: Huang, Kun, Gao, Xuefeng, Wu, Lili, Yan, Bin, Wang, Zikai, Zhang, Xiaomei, Peng, Lihua, Yu, Jiufei, Sun, Gang, Yang, Yunsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7988213/
https://www.ncbi.nlm.nih.gov/pubmed/33777850
http://dx.doi.org/10.3389/fcimb.2021.640309
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author Huang, Kun
Gao, Xuefeng
Wu, Lili
Yan, Bin
Wang, Zikai
Zhang, Xiaomei
Peng, Lihua
Yu, Jiufei
Sun, Gang
Yang, Yunsheng
author_facet Huang, Kun
Gao, Xuefeng
Wu, Lili
Yan, Bin
Wang, Zikai
Zhang, Xiaomei
Peng, Lihua
Yu, Jiufei
Sun, Gang
Yang, Yunsheng
author_sort Huang, Kun
collection PubMed
description To characterize the salivary microbiota in patients at different progressive histological stages of gastric carcinogenesis and identify microbial markers for detecting gastric cancer, two hundred and ninety-three patients were grouped into superficial gastritis (SG; n = 101), atrophic gastritis (AG; n = 93), and gastric cancer (GC; n = 99) according to their histology. 16S rRNA gene sequencing was used to access the salivary microbiota profile. A random forest model was constructed to classify gastric histological types based on the salivary microbiota compositions. A distinct salivary microbiota was observed in patients with GC when comparing with SG and AG, which was featured by an enrichment of putative proinflammatory taxa including Corynebacterium and Streptococcus. Among the significantly decreased oral bacteria in GC patients including Haemophilus, Neisseria, Parvimonas, Peptostreptococcus, Porphyromonas, and Prevotella, Haemophilus, and Neisseria are known to reduce nitrite, which may consequently result in an accumulation of carcinogenic N-nitroso compounds. We found that GC can be distinguished accurately from patients with AG and SG (AUC = 0.91) by the random forest model based on the salivary microbiota profiles, and taxa belonging to unclassified Streptophyta and Streptococcus have potential as diagnostic biomarkers for GC. Remarkable changes in the salivary microbiota functions were also detected across three histological types, and the upregulation in the isoleucine and valine is in line with a higher level of these amino acids in the gastric tumor tissues that reported by other independent studies. Conclusively, bacteria in the oral cavity may contribute gastric cancer and become new diagnostic biomarkers for GC, but further evaluation against independent clinical cohorts is required. The potential mechanisms of salivary microbiota in participating the pathogenesis of GC may include an accumulation of proinflammatory bacteria and a decline in those reducing carcinogenic N-nitroso compounds.
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spelling pubmed-79882132021-03-25 Salivary Microbiota for Gastric Cancer Prediction: An Exploratory Study Huang, Kun Gao, Xuefeng Wu, Lili Yan, Bin Wang, Zikai Zhang, Xiaomei Peng, Lihua Yu, Jiufei Sun, Gang Yang, Yunsheng Front Cell Infect Microbiol Cellular and Infection Microbiology To characterize the salivary microbiota in patients at different progressive histological stages of gastric carcinogenesis and identify microbial markers for detecting gastric cancer, two hundred and ninety-three patients were grouped into superficial gastritis (SG; n = 101), atrophic gastritis (AG; n = 93), and gastric cancer (GC; n = 99) according to their histology. 16S rRNA gene sequencing was used to access the salivary microbiota profile. A random forest model was constructed to classify gastric histological types based on the salivary microbiota compositions. A distinct salivary microbiota was observed in patients with GC when comparing with SG and AG, which was featured by an enrichment of putative proinflammatory taxa including Corynebacterium and Streptococcus. Among the significantly decreased oral bacteria in GC patients including Haemophilus, Neisseria, Parvimonas, Peptostreptococcus, Porphyromonas, and Prevotella, Haemophilus, and Neisseria are known to reduce nitrite, which may consequently result in an accumulation of carcinogenic N-nitroso compounds. We found that GC can be distinguished accurately from patients with AG and SG (AUC = 0.91) by the random forest model based on the salivary microbiota profiles, and taxa belonging to unclassified Streptophyta and Streptococcus have potential as diagnostic biomarkers for GC. Remarkable changes in the salivary microbiota functions were also detected across three histological types, and the upregulation in the isoleucine and valine is in line with a higher level of these amino acids in the gastric tumor tissues that reported by other independent studies. Conclusively, bacteria in the oral cavity may contribute gastric cancer and become new diagnostic biomarkers for GC, but further evaluation against independent clinical cohorts is required. The potential mechanisms of salivary microbiota in participating the pathogenesis of GC may include an accumulation of proinflammatory bacteria and a decline in those reducing carcinogenic N-nitroso compounds. Frontiers Media S.A. 2021-03-10 /pmc/articles/PMC7988213/ /pubmed/33777850 http://dx.doi.org/10.3389/fcimb.2021.640309 Text en Copyright © 2021 Huang, Gao, Wu, Yan, Wang, Zhang, Peng, Yu, Sun and Yang http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cellular and Infection Microbiology
Huang, Kun
Gao, Xuefeng
Wu, Lili
Yan, Bin
Wang, Zikai
Zhang, Xiaomei
Peng, Lihua
Yu, Jiufei
Sun, Gang
Yang, Yunsheng
Salivary Microbiota for Gastric Cancer Prediction: An Exploratory Study
title Salivary Microbiota for Gastric Cancer Prediction: An Exploratory Study
title_full Salivary Microbiota for Gastric Cancer Prediction: An Exploratory Study
title_fullStr Salivary Microbiota for Gastric Cancer Prediction: An Exploratory Study
title_full_unstemmed Salivary Microbiota for Gastric Cancer Prediction: An Exploratory Study
title_short Salivary Microbiota for Gastric Cancer Prediction: An Exploratory Study
title_sort salivary microbiota for gastric cancer prediction: an exploratory study
topic Cellular and Infection Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7988213/
https://www.ncbi.nlm.nih.gov/pubmed/33777850
http://dx.doi.org/10.3389/fcimb.2021.640309
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