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Variations in Oral Microbiota Composition Are Associated With a Risk of Throat Cancer

In this study, a next-generation sequencing strategy on 16S ribosomal RNA (16S rRNA) gene was employed to analyze 70 oral samples from 32 patients with throat cancer, nine patients with vocal cord polyp, and 29 healthy individuals (normal controls). Using this strategy, we demonstrated, for the firs...

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Autores principales: Wang, Lili, Yin, Gaofei, Guo, Ying, Zhao, Yaqi, Zhao, Meng, Lai, Yunyun, Sui, Pengcheng, Shi, Taiping, Guo, Wei, Huang, Zhigang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6618584/
https://www.ncbi.nlm.nih.gov/pubmed/31334130
http://dx.doi.org/10.3389/fcimb.2019.00205
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author Wang, Lili
Yin, Gaofei
Guo, Ying
Zhao, Yaqi
Zhao, Meng
Lai, Yunyun
Sui, Pengcheng
Shi, Taiping
Guo, Wei
Huang, Zhigang
author_facet Wang, Lili
Yin, Gaofei
Guo, Ying
Zhao, Yaqi
Zhao, Meng
Lai, Yunyun
Sui, Pengcheng
Shi, Taiping
Guo, Wei
Huang, Zhigang
author_sort Wang, Lili
collection PubMed
description In this study, a next-generation sequencing strategy on 16S ribosomal RNA (16S rRNA) gene was employed to analyze 70 oral samples from 32 patients with throat cancer, nine patients with vocal cord polyp, and 29 healthy individuals (normal controls). Using this strategy, we demonstrated, for the first time, that the salivary microbiota of cancer patients were significantly different from those of patients with a polyp and healthy individuals. We observed that the beta diversity of the cancer group was divergent from both the normal and polyp groups, while alpha-diversity indices such as the Chao1 estimator (P = 8.1e-05), Simpson (P = 0.0045), and Shannon (P = 0.0071) were significantly reduced in cancer patients compared with patients containing a polyp and normal healthy individuals. Linear discriminant analysis (LDA) and Kruskal–Wallis test analyses and real-time quantitative polymerase chain reaction (qPCR) verification test revealed that the genera Aggregatibacter, Pseudomonas, Bacteroides, and Ruminiclostridium were significantly enriched in the throat cancer group compared with the vocal cord polyp and normal control groups (score value >2). Finally, diagnostic models based on putatively important constituent bacteria were constructed with 87.5% accuracy [area under the curve (AUC) = 0.875, 95% confidence interval (CI): 0.695–1]. In summary, in this study we characterized, for the first time, the oral microbiota of throat cancer patients without smoking history. We speculate that these results will help in the pathogenic mechanism and early diagnosis of throat cancer.
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spelling pubmed-66185842019-07-22 Variations in Oral Microbiota Composition Are Associated With a Risk of Throat Cancer Wang, Lili Yin, Gaofei Guo, Ying Zhao, Yaqi Zhao, Meng Lai, Yunyun Sui, Pengcheng Shi, Taiping Guo, Wei Huang, Zhigang Front Cell Infect Microbiol Cellular and Infection Microbiology In this study, a next-generation sequencing strategy on 16S ribosomal RNA (16S rRNA) gene was employed to analyze 70 oral samples from 32 patients with throat cancer, nine patients with vocal cord polyp, and 29 healthy individuals (normal controls). Using this strategy, we demonstrated, for the first time, that the salivary microbiota of cancer patients were significantly different from those of patients with a polyp and healthy individuals. We observed that the beta diversity of the cancer group was divergent from both the normal and polyp groups, while alpha-diversity indices such as the Chao1 estimator (P = 8.1e-05), Simpson (P = 0.0045), and Shannon (P = 0.0071) were significantly reduced in cancer patients compared with patients containing a polyp and normal healthy individuals. Linear discriminant analysis (LDA) and Kruskal–Wallis test analyses and real-time quantitative polymerase chain reaction (qPCR) verification test revealed that the genera Aggregatibacter, Pseudomonas, Bacteroides, and Ruminiclostridium were significantly enriched in the throat cancer group compared with the vocal cord polyp and normal control groups (score value >2). Finally, diagnostic models based on putatively important constituent bacteria were constructed with 87.5% accuracy [area under the curve (AUC) = 0.875, 95% confidence interval (CI): 0.695–1]. In summary, in this study we characterized, for the first time, the oral microbiota of throat cancer patients without smoking history. We speculate that these results will help in the pathogenic mechanism and early diagnosis of throat cancer. Frontiers Media S.A. 2019-07-03 /pmc/articles/PMC6618584/ /pubmed/31334130 http://dx.doi.org/10.3389/fcimb.2019.00205 Text en Copyright © 2019 Wang, Yin, Guo, Zhao, Zhao, Lai, Sui, Shi, Guo and Huang. 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
Wang, Lili
Yin, Gaofei
Guo, Ying
Zhao, Yaqi
Zhao, Meng
Lai, Yunyun
Sui, Pengcheng
Shi, Taiping
Guo, Wei
Huang, Zhigang
Variations in Oral Microbiota Composition Are Associated With a Risk of Throat Cancer
title Variations in Oral Microbiota Composition Are Associated With a Risk of Throat Cancer
title_full Variations in Oral Microbiota Composition Are Associated With a Risk of Throat Cancer
title_fullStr Variations in Oral Microbiota Composition Are Associated With a Risk of Throat Cancer
title_full_unstemmed Variations in Oral Microbiota Composition Are Associated With a Risk of Throat Cancer
title_short Variations in Oral Microbiota Composition Are Associated With a Risk of Throat Cancer
title_sort variations in oral microbiota composition are associated with a risk of throat cancer
topic Cellular and Infection Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6618584/
https://www.ncbi.nlm.nih.gov/pubmed/31334130
http://dx.doi.org/10.3389/fcimb.2019.00205
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