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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
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.
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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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