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Gut microbiome analysis as a tool towards targeted non-invasive biomarkers for early hepatocellular carcinoma
OBJECTIVE: To characterise gut microbiome in patients with hepatocellular carcinoma (HCC) and evaluate the potential of microbiome as non-invasive biomarkers for HCC. DESIGN: We collected 486 faecal samples from East China, Central China and Northwest China prospectively and finally 419 samples comp...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6580753/ https://www.ncbi.nlm.nih.gov/pubmed/30045880 http://dx.doi.org/10.1136/gutjnl-2017-315084 |
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author | Ren, Zhigang Li, Ang Jiang, Jianwen Zhou, Lin Yu, Zujiang Lu, Haifeng Xie, Haiyang Chen, Xiaolong Shao, Li Zhang, Ruiqing Xu, Shaoyan Zhang, Hua Cui, Guangying Chen, Xinhua Sun, Ranran Wen, Hao Lerut, Jan P Kan, Quancheng Li, Lanjuan Zheng, Shusen |
author_facet | Ren, Zhigang Li, Ang Jiang, Jianwen Zhou, Lin Yu, Zujiang Lu, Haifeng Xie, Haiyang Chen, Xiaolong Shao, Li Zhang, Ruiqing Xu, Shaoyan Zhang, Hua Cui, Guangying Chen, Xinhua Sun, Ranran Wen, Hao Lerut, Jan P Kan, Quancheng Li, Lanjuan Zheng, Shusen |
author_sort | Ren, Zhigang |
collection | PubMed |
description | OBJECTIVE: To characterise gut microbiome in patients with hepatocellular carcinoma (HCC) and evaluate the potential of microbiome as non-invasive biomarkers for HCC. DESIGN: We collected 486 faecal samples from East China, Central China and Northwest China prospectively and finally 419 samples completed Miseq sequencing. We characterised gut microbiome, identified microbial markers and constructed HCC classifier in 75 early HCC, 40 cirrhosis and 75 healthy controls. We validated the results in 56 controls, 30 early HCC and 45 advanced HCC. We further verified diagnosis potential in 18 HCC from Xinjiang and 80 HCC from Zhengzhou. RESULTS: Faecal microbial diversity was increased from cirrhosis to early HCC with cirrhosis. Phylum Actinobacteria was increased in early HCC versus cirrhosis. Correspondingly, 13 genera including Gemmiger and Parabacteroides were enriched in early HCC versus cirrhosis. Butyrate-producing genera were decreased, while genera producing-lipopolysaccharide were increased in early HCC versus controls. The optimal 30 microbial markers were identified through a fivefold cross-validation on a random forest model and achieved an area under the curve of 80.64% between 75 early HCC and 105 non-HCC samples. Notably, gut microbial markers validated strong diagnosis potential for early HCC and even advanced HCC. Importantly, microbial markers successfully achieved a cross-region validation of HCC from Northwest China and Central China. CONCLUSIONS: This study is the first to characterise gut microbiome in patients with HCC and to report the successful diagnosis model establishment and cross-region validation of microbial markers for HCC. Gut microbiota-targeted biomarkers represent potential non-invasive tools for early diagnosis of HCC. |
format | Online Article Text |
id | pubmed-6580753 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-65807532019-07-02 Gut microbiome analysis as a tool towards targeted non-invasive biomarkers for early hepatocellular carcinoma Ren, Zhigang Li, Ang Jiang, Jianwen Zhou, Lin Yu, Zujiang Lu, Haifeng Xie, Haiyang Chen, Xiaolong Shao, Li Zhang, Ruiqing Xu, Shaoyan Zhang, Hua Cui, Guangying Chen, Xinhua Sun, Ranran Wen, Hao Lerut, Jan P Kan, Quancheng Li, Lanjuan Zheng, Shusen Gut Gut Microbiota OBJECTIVE: To characterise gut microbiome in patients with hepatocellular carcinoma (HCC) and evaluate the potential of microbiome as non-invasive biomarkers for HCC. DESIGN: We collected 486 faecal samples from East China, Central China and Northwest China prospectively and finally 419 samples completed Miseq sequencing. We characterised gut microbiome, identified microbial markers and constructed HCC classifier in 75 early HCC, 40 cirrhosis and 75 healthy controls. We validated the results in 56 controls, 30 early HCC and 45 advanced HCC. We further verified diagnosis potential in 18 HCC from Xinjiang and 80 HCC from Zhengzhou. RESULTS: Faecal microbial diversity was increased from cirrhosis to early HCC with cirrhosis. Phylum Actinobacteria was increased in early HCC versus cirrhosis. Correspondingly, 13 genera including Gemmiger and Parabacteroides were enriched in early HCC versus cirrhosis. Butyrate-producing genera were decreased, while genera producing-lipopolysaccharide were increased in early HCC versus controls. The optimal 30 microbial markers were identified through a fivefold cross-validation on a random forest model and achieved an area under the curve of 80.64% between 75 early HCC and 105 non-HCC samples. Notably, gut microbial markers validated strong diagnosis potential for early HCC and even advanced HCC. Importantly, microbial markers successfully achieved a cross-region validation of HCC from Northwest China and Central China. CONCLUSIONS: This study is the first to characterise gut microbiome in patients with HCC and to report the successful diagnosis model establishment and cross-region validation of microbial markers for HCC. Gut microbiota-targeted biomarkers represent potential non-invasive tools for early diagnosis of HCC. BMJ Publishing Group 2019-06 2018-07-25 /pmc/articles/PMC6580753/ /pubmed/30045880 http://dx.doi.org/10.1136/gutjnl-2017-315084 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Gut Microbiota Ren, Zhigang Li, Ang Jiang, Jianwen Zhou, Lin Yu, Zujiang Lu, Haifeng Xie, Haiyang Chen, Xiaolong Shao, Li Zhang, Ruiqing Xu, Shaoyan Zhang, Hua Cui, Guangying Chen, Xinhua Sun, Ranran Wen, Hao Lerut, Jan P Kan, Quancheng Li, Lanjuan Zheng, Shusen Gut microbiome analysis as a tool towards targeted non-invasive biomarkers for early hepatocellular carcinoma |
title | Gut microbiome analysis as a tool towards targeted non-invasive biomarkers for early hepatocellular carcinoma |
title_full | Gut microbiome analysis as a tool towards targeted non-invasive biomarkers for early hepatocellular carcinoma |
title_fullStr | Gut microbiome analysis as a tool towards targeted non-invasive biomarkers for early hepatocellular carcinoma |
title_full_unstemmed | Gut microbiome analysis as a tool towards targeted non-invasive biomarkers for early hepatocellular carcinoma |
title_short | Gut microbiome analysis as a tool towards targeted non-invasive biomarkers for early hepatocellular carcinoma |
title_sort | gut microbiome analysis as a tool towards targeted non-invasive biomarkers for early hepatocellular carcinoma |
topic | Gut Microbiota |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6580753/ https://www.ncbi.nlm.nih.gov/pubmed/30045880 http://dx.doi.org/10.1136/gutjnl-2017-315084 |
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