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16S rDNA microbiome composition pattern analysis as a diagnostic biomarker for biliary tract cancer

BACKGROUND: The aim of this study is to investigate the composition of microbiota in biliary tract cancer patients and healthy adults by metagenome analysis and evaluate its potential values as biomarkers for biliary tract cancer. METHODS: Patients who were diagnosed with biliary tract cancer or ben...

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Autores principales: Lee, Huisong, Lee, Hyeon Kook, Min, Seog Ki, Lee, Won Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982396/
https://www.ncbi.nlm.nih.gov/pubmed/31980025
http://dx.doi.org/10.1186/s12957-020-1793-3
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author Lee, Huisong
Lee, Hyeon Kook
Min, Seog Ki
Lee, Won Hee
author_facet Lee, Huisong
Lee, Hyeon Kook
Min, Seog Ki
Lee, Won Hee
author_sort Lee, Huisong
collection PubMed
description BACKGROUND: The aim of this study is to investigate the composition of microbiota in biliary tract cancer patients and healthy adults by metagenome analysis and evaluate its potential values as biomarkers for biliary tract cancer. METHODS: Patients who were diagnosed with biliary tract cancer or benign inflammation were enrolled in this study. The control group consisted of healthy adults who presented with no history of significant medical issues. We isolated bacteria-derived extracellular vesicles in the plasma. The microbiome composition was investigated with 16S rDNA metagenome analysis. We evaluated each microbiome to ensure suitability for the biliary tract cancer prediction model. RESULTS: A total of 155 patients were included in this study: 24 patients with diagnosed biliary tract cancers, 43 diagnosed with cholecystitis or cholangitis, and 88 healthy adults. The microbiome composition pattern of the biliary tract cancer differed from the microbiome composition pattern seen in healthy adult group in beta diversity analysis. The percent composition of microbiota was found to be different from the phylum to genus level. Differences in the composition of the Bifidobacteriaceae and Pseudomonaceae families and Corynebacteriaceae Corynebacterium, Oxalobacteraceae Ralstonia and Comamonadaceae Comamonas species may be used to develop predictive models for biliary tract cancer. CONCLUSION: Biliary tract cancer patients have altered microbiome composition, which represents a promising biomarker to differentiate malignant biliary tract disease from normal control group.
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spelling pubmed-69823962020-01-29 16S rDNA microbiome composition pattern analysis as a diagnostic biomarker for biliary tract cancer Lee, Huisong Lee, Hyeon Kook Min, Seog Ki Lee, Won Hee World J Surg Oncol Research BACKGROUND: The aim of this study is to investigate the composition of microbiota in biliary tract cancer patients and healthy adults by metagenome analysis and evaluate its potential values as biomarkers for biliary tract cancer. METHODS: Patients who were diagnosed with biliary tract cancer or benign inflammation were enrolled in this study. The control group consisted of healthy adults who presented with no history of significant medical issues. We isolated bacteria-derived extracellular vesicles in the plasma. The microbiome composition was investigated with 16S rDNA metagenome analysis. We evaluated each microbiome to ensure suitability for the biliary tract cancer prediction model. RESULTS: A total of 155 patients were included in this study: 24 patients with diagnosed biliary tract cancers, 43 diagnosed with cholecystitis or cholangitis, and 88 healthy adults. The microbiome composition pattern of the biliary tract cancer differed from the microbiome composition pattern seen in healthy adult group in beta diversity analysis. The percent composition of microbiota was found to be different from the phylum to genus level. Differences in the composition of the Bifidobacteriaceae and Pseudomonaceae families and Corynebacteriaceae Corynebacterium, Oxalobacteraceae Ralstonia and Comamonadaceae Comamonas species may be used to develop predictive models for biliary tract cancer. CONCLUSION: Biliary tract cancer patients have altered microbiome composition, which represents a promising biomarker to differentiate malignant biliary tract disease from normal control group. BioMed Central 2020-01-24 /pmc/articles/PMC6982396/ /pubmed/31980025 http://dx.doi.org/10.1186/s12957-020-1793-3 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Lee, Huisong
Lee, Hyeon Kook
Min, Seog Ki
Lee, Won Hee
16S rDNA microbiome composition pattern analysis as a diagnostic biomarker for biliary tract cancer
title 16S rDNA microbiome composition pattern analysis as a diagnostic biomarker for biliary tract cancer
title_full 16S rDNA microbiome composition pattern analysis as a diagnostic biomarker for biliary tract cancer
title_fullStr 16S rDNA microbiome composition pattern analysis as a diagnostic biomarker for biliary tract cancer
title_full_unstemmed 16S rDNA microbiome composition pattern analysis as a diagnostic biomarker for biliary tract cancer
title_short 16S rDNA microbiome composition pattern analysis as a diagnostic biomarker for biliary tract cancer
title_sort 16s rdna microbiome composition pattern analysis as a diagnostic biomarker for biliary tract cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982396/
https://www.ncbi.nlm.nih.gov/pubmed/31980025
http://dx.doi.org/10.1186/s12957-020-1793-3
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