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Circulating Microbiota-Based Metagenomic Signature for Detection of Hepatocellular Carcinoma
Circulating microbial dysbiosis is associated with chronic liver disease including nonalcoholic steatohepatitis and alcoholic liver disease. In this study, we evaluated whether disease-specific alterations of circulating microbiome are present in patients with cirrhosis and hepatocellular carcinoma...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6525191/ https://www.ncbi.nlm.nih.gov/pubmed/31101866 http://dx.doi.org/10.1038/s41598-019-44012-w |
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author | Cho, Eun Ju Leem, Sangseob Kim, Sun Ah Yang, Jinho Lee, Yun Bin Kim, Soon Sun Cheong, Jae Youn Cho, Sung Won Kim, Ji Won Kim, Sung-Min Yoon, Jung-Hwan Park, Taesung |
author_facet | Cho, Eun Ju Leem, Sangseob Kim, Sun Ah Yang, Jinho Lee, Yun Bin Kim, Soon Sun Cheong, Jae Youn Cho, Sung Won Kim, Ji Won Kim, Sung-Min Yoon, Jung-Hwan Park, Taesung |
author_sort | Cho, Eun Ju |
collection | PubMed |
description | Circulating microbial dysbiosis is associated with chronic liver disease including nonalcoholic steatohepatitis and alcoholic liver disease. In this study, we evaluated whether disease-specific alterations of circulating microbiome are present in patients with cirrhosis and hepatocellular carcinoma (HCC), and their potential as diagnostic biomarkers for HCC. We performed cross-sectional metagenomic analyses of serum samples from 79 patients with HCC, 83 with cirrhosis, and 201 matching healthy controls, and validated the results in the same number of subjects. Serum bacterial DNA was analyzed using high-throughput pyrosequencing after amplification of the V3–V4 hypervariable regions of 16S rDNA. Blood microbial diversity was significantly reduced in HCC, compared with cirrhosis and control. There were significant differences in the relative abundances of several bacterial taxa that correlate with the presence of HCC, thus defining a specific blood microbiome-derived metagenomic signature of HCC. We identified 5 microbial gene markers-based model which distinguished HCC from controls with an area under the receiver-operating curve (AUC) of 0.879 and a balanced accuracy of 81.6%. In the validation, this model accurately distinguished HCC with an AUC of 0.875 and an accuracy of 79.8%. In conclusion, circulating microbiome-based signatures may be potential biomarkers for the detection HCC. |
format | Online Article Text |
id | pubmed-6525191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65251912019-05-29 Circulating Microbiota-Based Metagenomic Signature for Detection of Hepatocellular Carcinoma Cho, Eun Ju Leem, Sangseob Kim, Sun Ah Yang, Jinho Lee, Yun Bin Kim, Soon Sun Cheong, Jae Youn Cho, Sung Won Kim, Ji Won Kim, Sung-Min Yoon, Jung-Hwan Park, Taesung Sci Rep Article Circulating microbial dysbiosis is associated with chronic liver disease including nonalcoholic steatohepatitis and alcoholic liver disease. In this study, we evaluated whether disease-specific alterations of circulating microbiome are present in patients with cirrhosis and hepatocellular carcinoma (HCC), and their potential as diagnostic biomarkers for HCC. We performed cross-sectional metagenomic analyses of serum samples from 79 patients with HCC, 83 with cirrhosis, and 201 matching healthy controls, and validated the results in the same number of subjects. Serum bacterial DNA was analyzed using high-throughput pyrosequencing after amplification of the V3–V4 hypervariable regions of 16S rDNA. Blood microbial diversity was significantly reduced in HCC, compared with cirrhosis and control. There were significant differences in the relative abundances of several bacterial taxa that correlate with the presence of HCC, thus defining a specific blood microbiome-derived metagenomic signature of HCC. We identified 5 microbial gene markers-based model which distinguished HCC from controls with an area under the receiver-operating curve (AUC) of 0.879 and a balanced accuracy of 81.6%. In the validation, this model accurately distinguished HCC with an AUC of 0.875 and an accuracy of 79.8%. In conclusion, circulating microbiome-based signatures may be potential biomarkers for the detection HCC. Nature Publishing Group UK 2019-05-17 /pmc/articles/PMC6525191/ /pubmed/31101866 http://dx.doi.org/10.1038/s41598-019-44012-w Text en © The Author(s) 2019 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Cho, Eun Ju Leem, Sangseob Kim, Sun Ah Yang, Jinho Lee, Yun Bin Kim, Soon Sun Cheong, Jae Youn Cho, Sung Won Kim, Ji Won Kim, Sung-Min Yoon, Jung-Hwan Park, Taesung Circulating Microbiota-Based Metagenomic Signature for Detection of Hepatocellular Carcinoma |
title | Circulating Microbiota-Based Metagenomic Signature for Detection of Hepatocellular Carcinoma |
title_full | Circulating Microbiota-Based Metagenomic Signature for Detection of Hepatocellular Carcinoma |
title_fullStr | Circulating Microbiota-Based Metagenomic Signature for Detection of Hepatocellular Carcinoma |
title_full_unstemmed | Circulating Microbiota-Based Metagenomic Signature for Detection of Hepatocellular Carcinoma |
title_short | Circulating Microbiota-Based Metagenomic Signature for Detection of Hepatocellular Carcinoma |
title_sort | circulating microbiota-based metagenomic signature for detection of hepatocellular carcinoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6525191/ https://www.ncbi.nlm.nih.gov/pubmed/31101866 http://dx.doi.org/10.1038/s41598-019-44012-w |
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