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Altered diversity and composition of the gut microbiome in patients with cervical cancer
Gut microbiota have been implicated in the development of many human diseases, including both digestive diseases and non-digestive diseases. In this study, we investigated whether the gut bacteria differed in cervical cancer (CCa) patients compared with healthy controls by 16S rRNA sequencing analys...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6431307/ https://www.ncbi.nlm.nih.gov/pubmed/30904962 http://dx.doi.org/10.1186/s13568-019-0763-z |
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author | Wang, Zhongqiu Wang, Qingxin Zhao, Jing Gong, Linlin Zhang, Yan Wang, Xia Yuan, Zhiyong |
author_facet | Wang, Zhongqiu Wang, Qingxin Zhao, Jing Gong, Linlin Zhang, Yan Wang, Xia Yuan, Zhiyong |
author_sort | Wang, Zhongqiu |
collection | PubMed |
description | Gut microbiota have been implicated in the development of many human diseases, including both digestive diseases and non-digestive diseases. In this study, we investigated whether the gut bacteria differed in cervical cancer (CCa) patients compared with healthy controls by 16S rRNA sequencing analysis. Subjects including eight CCa and five healthy controls were included. Microbiota profiles in fecal DNA were characterized by PCR amplification of the 16S rRNA V4 variable region and deep sequencing using the Illumina HiSeq platform. The CCa-associated gut microbiota had an increasing trend in alpha diversity, although statistical significance was not reached. Inter-group variability in community structure by beta diversity analysis showed a clear separation between cancer patients and healthy controls. Gut microbiota profiles were different between patients and controls; namely, the proportions of Proteobacteria phylum was notably higher in patients with CCa (ρ = 0.012). Seven genera differentiated significantly in relative abundance between CCa and controls (all ρ < 0.05), including Escherichia–Shigella, Roseburia, Pseudomonas, Lachnoclostridium, Lachnospiraceae_UCG-004, Dorea and Succinivibrio. The characteristic microbiome in CCa patients was also identified by linear discriminant analysis effect size (LEfSe). The phylum Proteobacteria, and the genus Parabacteroides, Escherichia_Shigells and Roseburia may provide novel potential biomarkers for CCa. Taken together, this is the first study on gut microbiota in patients with CCa, and demonstrated the significantly altered diversity and composition. |
format | Online Article Text |
id | pubmed-6431307 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-64313072019-04-05 Altered diversity and composition of the gut microbiome in patients with cervical cancer Wang, Zhongqiu Wang, Qingxin Zhao, Jing Gong, Linlin Zhang, Yan Wang, Xia Yuan, Zhiyong AMB Express Original Article Gut microbiota have been implicated in the development of many human diseases, including both digestive diseases and non-digestive diseases. In this study, we investigated whether the gut bacteria differed in cervical cancer (CCa) patients compared with healthy controls by 16S rRNA sequencing analysis. Subjects including eight CCa and five healthy controls were included. Microbiota profiles in fecal DNA were characterized by PCR amplification of the 16S rRNA V4 variable region and deep sequencing using the Illumina HiSeq platform. The CCa-associated gut microbiota had an increasing trend in alpha diversity, although statistical significance was not reached. Inter-group variability in community structure by beta diversity analysis showed a clear separation between cancer patients and healthy controls. Gut microbiota profiles were different between patients and controls; namely, the proportions of Proteobacteria phylum was notably higher in patients with CCa (ρ = 0.012). Seven genera differentiated significantly in relative abundance between CCa and controls (all ρ < 0.05), including Escherichia–Shigella, Roseburia, Pseudomonas, Lachnoclostridium, Lachnospiraceae_UCG-004, Dorea and Succinivibrio. The characteristic microbiome in CCa patients was also identified by linear discriminant analysis effect size (LEfSe). The phylum Proteobacteria, and the genus Parabacteroides, Escherichia_Shigells and Roseburia may provide novel potential biomarkers for CCa. Taken together, this is the first study on gut microbiota in patients with CCa, and demonstrated the significantly altered diversity and composition. Springer Berlin Heidelberg 2019-03-23 /pmc/articles/PMC6431307/ /pubmed/30904962 http://dx.doi.org/10.1186/s13568-019-0763-z Text en © The Author(s) 2019 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. |
spellingShingle | Original Article Wang, Zhongqiu Wang, Qingxin Zhao, Jing Gong, Linlin Zhang, Yan Wang, Xia Yuan, Zhiyong Altered diversity and composition of the gut microbiome in patients with cervical cancer |
title | Altered diversity and composition of the gut microbiome in patients with cervical cancer |
title_full | Altered diversity and composition of the gut microbiome in patients with cervical cancer |
title_fullStr | Altered diversity and composition of the gut microbiome in patients with cervical cancer |
title_full_unstemmed | Altered diversity and composition of the gut microbiome in patients with cervical cancer |
title_short | Altered diversity and composition of the gut microbiome in patients with cervical cancer |
title_sort | altered diversity and composition of the gut microbiome in patients with cervical cancer |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6431307/ https://www.ncbi.nlm.nih.gov/pubmed/30904962 http://dx.doi.org/10.1186/s13568-019-0763-z |
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