A comprehensive analysis of the microbiota composition and gene expression in colorectal cancer

Abstract Background The dysregulation of gut microbiota is pivotal in colorectal carcinogenesis. Meanwhile, altered gut microbiome may affect the development of intestinal diseases through interaction with the host genes. However, the synergy between the altered gut microbiota composition and differ...

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Main Authors: Qian Zhang, Huan Zhao, Dedong Wu, Dayong Cao, Wang Ma
Format: Article
Language:English
Published: BMC 2020-10-01
Series:BMC Microbiology
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12866-020-01938-w
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spelling doaj-54e5cf73981a4621b6a932beb49ae3ed2020-11-25T03:50:44ZengBMCBMC Microbiology1471-21802020-10-0120111110.1186/s12866-020-01938-wA comprehensive analysis of the microbiota composition and gene expression in colorectal cancerQian Zhang0Huan Zhao1Dedong Wu2Dayong Cao3Wang Ma4Department of Oncology, The First Affiliated Hospital of Zhengzhou UniversityDepartment of Oncology, The First Affiliated Hospital of Zhengzhou UniversityDepartment of Oncology, The First People’s Hospital of ZhengzhouDepartment of Burns, The First People’s Hospital of ZhengzhouDepartment of Oncology, The First Affiliated Hospital of Zhengzhou UniversityAbstract Background The dysregulation of gut microbiota is pivotal in colorectal carcinogenesis. Meanwhile, altered gut microbiome may affect the development of intestinal diseases through interaction with the host genes. However, the synergy between the altered gut microbiota composition and differential expression of specific genes in colorectal cancer (CRC) remains elusive. Thus, we integrated the data from 16S rRNA gene sequences and RNA sequences to investigate the potential relationship between genes and gut microbes in patients with CRC. Results Compared with normal samples, the presence of Proteobacteria and Fusobacteria increased considerably in CRC samples; conversely, the abundance of Firmicutes and Spirochaetes decreased markedly. In particular, the genera Fusobacterium, Catenibacterium, and Shewanella were only detected in tumor samples. Meanwhile, a closely interaction between Butyricimonas and Clostridium was observed in the microbiome network. Furthermore, a total of 246 (differentially expressed genes) DEGs were identified between tumor and normal tissues. Both DEGs and microbiota were involved in bile secretion and steroid hormone biosynthesis pathways. Finally, genes like cytochrome P450 family 3 subfamily A member 4 (CYP3A4) and ATP binding cassette subfamily G member 2 (ABCG2) enriched in these two pathways were connected with the prognosis of CRC, and CRC patients with low expression level of CYP3A4 and ABCG2 had longer survival time. Conclusion Identifying the complicated interaction between gut microbiota and the DEGs contributed to further understand the pathogenesis of CRC, and these findings might enable better diagnosis and treatment of CRC patients.http://link.springer.com/article/10.1186/s12866-020-01938-wColorectal cancerGut microfloraGene expressionPathways enrichmentSurvival analysis
collection DOAJ
language English
format Article
sources DOAJ
author Qian Zhang
Huan Zhao
Dedong Wu
Dayong Cao
Wang Ma
spellingShingle Qian Zhang
Huan Zhao
Dedong Wu
Dayong Cao
Wang Ma
A comprehensive analysis of the microbiota composition and gene expression in colorectal cancer
BMC Microbiology
Colorectal cancer
Gut microflora
Gene expression
Pathways enrichment
Survival analysis
author_facet Qian Zhang
Huan Zhao
Dedong Wu
Dayong Cao
Wang Ma
author_sort Qian Zhang
title A comprehensive analysis of the microbiota composition and gene expression in colorectal cancer
title_short A comprehensive analysis of the microbiota composition and gene expression in colorectal cancer
title_full A comprehensive analysis of the microbiota composition and gene expression in colorectal cancer
title_fullStr A comprehensive analysis of the microbiota composition and gene expression in colorectal cancer
title_full_unstemmed A comprehensive analysis of the microbiota composition and gene expression in colorectal cancer
title_sort comprehensive analysis of the microbiota composition and gene expression in colorectal cancer
publisher BMC
series BMC Microbiology
issn 1471-2180
publishDate 2020-10-01
description Abstract Background The dysregulation of gut microbiota is pivotal in colorectal carcinogenesis. Meanwhile, altered gut microbiome may affect the development of intestinal diseases through interaction with the host genes. However, the synergy between the altered gut microbiota composition and differential expression of specific genes in colorectal cancer (CRC) remains elusive. Thus, we integrated the data from 16S rRNA gene sequences and RNA sequences to investigate the potential relationship between genes and gut microbes in patients with CRC. Results Compared with normal samples, the presence of Proteobacteria and Fusobacteria increased considerably in CRC samples; conversely, the abundance of Firmicutes and Spirochaetes decreased markedly. In particular, the genera Fusobacterium, Catenibacterium, and Shewanella were only detected in tumor samples. Meanwhile, a closely interaction between Butyricimonas and Clostridium was observed in the microbiome network. Furthermore, a total of 246 (differentially expressed genes) DEGs were identified between tumor and normal tissues. Both DEGs and microbiota were involved in bile secretion and steroid hormone biosynthesis pathways. Finally, genes like cytochrome P450 family 3 subfamily A member 4 (CYP3A4) and ATP binding cassette subfamily G member 2 (ABCG2) enriched in these two pathways were connected with the prognosis of CRC, and CRC patients with low expression level of CYP3A4 and ABCG2 had longer survival time. Conclusion Identifying the complicated interaction between gut microbiota and the DEGs contributed to further understand the pathogenesis of CRC, and these findings might enable better diagnosis and treatment of CRC patients.
topic Colorectal cancer
Gut microflora
Gene expression
Pathways enrichment
Survival analysis
url http://link.springer.com/article/10.1186/s12866-020-01938-w
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