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Tumour-associated and non-tumour-associated microbiota in colorectal cancer

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TLDR
CRC-associated microbiota profiles differ from those in healthy subjects and are linked with distinct mucosal gene-expression profiles, which differ between distal and proximal cancers.
Abstract
Objective A signature that unifies the colorectal cancer (CRC) microbiota across multiple studies has not been identified. In addition to methodological variance, heterogeneity may be caused by both microbial and host response differences, which was addressed in this study. Design We prospectively studied the colonic microbiota and the expression of specific host response genes using faecal and mucosal samples (‘ON’ and ‘OFF’ the tumour, proximal and distal) from 59 patients undergoing surgery for CRC, 21 individuals with polyps and 56 healthy controls. Microbiota composition was determined by 16S rRNA amplicon sequencing; expression of host genes involved in CRC progression and immune response was quantified by real-time quantitative PCR. Results The microbiota of patients with CRC differed from that of controls, but alterations were not restricted to the cancerous tissue. Differences between distal and proximal cancers were detected and faecal microbiota only partially reflected mucosal microbiota in CRC. Patients with CRC can be stratified based on higher level structures of mucosal-associated bacterial co-abundance groups (CAGs) that resemble the previously formulated concept of enterotypes. Of these, Bacteroidetes Cluster 1 and Firmicutes Cluster 1 were in decreased abundance in CRC mucosa, whereas Bacteroidetes Cluster 2, Firmicutes Cluster 2, Pathogen Cluster and Prevotella Cluster showed increased abundance in CRC mucosa. CRC-associated CAGs were differentially correlated with the expression of host immunoinflammatory response genes. Conclusions CRC-associated microbiota profiles differ from those in healthy subjects and are linked with distinct mucosal gene-expression profiles. Compositional alterations in the microbiota are not restricted to cancerous tissue and differ between distal and proximal cancers.

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Global burden of colorectal cancer: emerging trends, risk factors and prevention strategies

TL;DR: With increasing incidence of CRC at younger ages, there is an urgent need to better identify high-risk individuals younger than 50 years, the age when screening typically starts, and aspirin probably confers chemopreventive benefit against CRC.
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Gut microbiota in colorectal cancer: mechanisms of action and clinical applications

TL;DR: The role of microorganisms in colorectal carcinogenesis, and the potential clinical translation of the gut microbiota as a biomarker for CRC diagnosis and prognosis are described, and as an approach for disease prevention and to improve therapy are described.
Journal ArticleDOI

The role of the microbiome in cancer development and therapy

TL;DR: The human body harbors enormous numbers of microbiota that influence cancer susceptibility, in part through their prodigious metabolic capacity and their profound influence on immune cell function as mentioned in this paper, which is supported by rigorously controlled preclinical studies using gnotobiotic mouse models colonized with one or more specific bacteria.
Journal ArticleDOI

The oral microbiota in colorectal cancer is distinctive and predictive.

TL;DR: The heterogeneity of CRC may relate to microbiota types that either predispose or provide resistance to the disease, and profiling the oral microbiome may offer an alternative screen for detecting CRC.
References
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Journal Article

R: A language and environment for statistical computing.

R Core Team
- 01 Jan 2014 - 
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
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Analysis of relative gene expression data using real-time quantitative pcr and the 2(-delta delta c(t)) method

TL;DR: The 2-Delta Delta C(T) method as mentioned in this paper was proposed to analyze the relative changes in gene expression from real-time quantitative PCR experiments, and it has been shown to be useful in the analysis of realtime, quantitative PCR data.
Journal ArticleDOI

Controlling the false discovery rate: a practical and powerful approach to multiple testing

TL;DR: In this paper, a different approach to problems of multiple significance testing is presented, which calls for controlling the expected proportion of falsely rejected hypotheses -the false discovery rate, which is equivalent to the FWER when all hypotheses are true but is smaller otherwise.
Journal ArticleDOI

Cutadapt removes adapter sequences from high-throughput sequencing reads

TL;DR: The command-line tool cutadapt is developed, which supports 454, Illumina and SOLiD (color space) data, offers two adapter trimming algorithms, and has other useful features.
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