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      Potential of fecal microbiota for early-stage detection of colorectal cancer

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      1 , 1 , 2 , 1 , 3 , 4 , 5 , 1 , 1 , 1 , 2 , 6 , 7 , 8 , 6 , 7 , 9 , 10 , 11 , 1 , 10 , 6 , 7 , 12 , 13 , 14 , 9 , 9 , 3 , 4 , 5 , 6 , 7 , 15 , 3 , 4 , 5 , 2 , * , 1 , 5 , 16 , **
      Molecular Systems Biology
      Blackwell Publishing Ltd
      cancer screening, colorectal cancer, fecal biomarkers, human gut microbiome, metagenomics

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          Abstract

          Several bacterial species have been implicated in the development of colorectal carcinoma (CRC), but CRC-associated changes of fecal microbiota and their potential for cancer screening remain to be explored. Here, we used metagenomic sequencing of fecal samples to identify taxonomic markers that distinguished CRC patients from tumor-free controls in a study population of 156 participants. Accuracy of metagenomic CRC detection was similar to the standard fecal occult blood test (FOBT) and when both approaches were combined, sensitivity improved > 45% relative to the FOBT, while maintaining its specificity. Accuracy of metagenomic CRC detection did not differ significantly between early- and late-stage cancer and could be validated in independent patient and control populations ( N = 335) from different countries. CRC-associated changes in the fecal microbiome at least partially reflected microbial community composition at the tumor itself, indicating that observed gene pool differences may reveal tumor-related host–microbe interactions. Indeed, we deduced a metabolic shift from fiber degradation in controls to utilization of host carbohydrates and amino acids in CRC patients, accompanied by an increase of lipopolysaccharide metabolism.

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          Most cited references37

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          Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample.

          The ongoing revolution in high-throughput sequencing continues to democratize the ability of small groups of investigators to map the microbial component of the biosphere. In particular, the coevolution of new sequencing platforms and new software tools allows data acquisition and analysis on an unprecedented scale. Here we report the next stage in this coevolutionary arms race, using the Illumina GAIIx platform to sequence a diverse array of 25 environmental samples and three known "mock communities" at a depth averaging 3.1 million reads per sample. We demonstrate excellent consistency in taxonomic recovery and recapture diversity patterns that were previously reported on the basis of metaanalysis of many studies from the literature (notably, the saline/nonsaline split in environmental samples and the split between host-associated and free-living communities). We also demonstrate that 2,000 Illumina single-end reads are sufficient to recapture the same relationships among samples that we observe with the full dataset. The results thus open up the possibility of conducting large-scale studies analyzing thousands of samples simultaneously to survey microbial communities at an unprecedented spatial and temporal resolution.
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            How glycan metabolism shapes the human gut microbiota.

            Symbiotic microorganisms that reside in the human intestine are adept at foraging glycans and polysaccharides, including those in dietary plants (starch, hemicellulose and pectin), animal-derived cartilage and tissue (glycosaminoglycans and N-linked glycans), and host mucus (O-linked glycans). Fluctuations in the abundance of dietary and endogenous glycans, combined with the immense chemical variation among these molecules, create a dynamic and heterogeneous environment in which gut microorganisms proliferate. In this Review, we describe how glycans shape the composition of the gut microbiota over various periods of time, the mechanisms by which individual microorganisms degrade these glycans, and potential opportunities to intentionally influence this ecosystem for better health and nutrition.
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              • Article: not found

              Polyamines and cancer: old molecules, new understanding.

              The amino-acid-derived polyamines have long been associated with cell growth and cancer, and specific oncogenes and tumour-suppressor genes regulate polyamine metabolism. Inhibition of polyamine synthesis has proven to be generally ineffective as an anticancer strategy in clinical trials, but it is a potent cancer chemoprevention strategy in preclinical studies. Clinical trials, with well-defined goals, are now underway to evaluate the chemopreventive efficacy of inhibitors of polyamine synthesis in a range of tissues.
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                Author and article information

                Journal
                Mol Syst Biol
                Mol. Syst. Biol
                msb
                Molecular Systems Biology
                Blackwell Publishing Ltd (Oxford, UK )
                1744-4292
                1744-4292
                November 2014
                28 November 2014
                : 10
                : 11
                : 766
                Affiliations
                [1 ]Structural and Computational Biology Unit, European Molecular Biology Laboratory Heidelberg, Germany
                [2 ]Department of Gastroenterology and LIC-EA4393-EC2M3, APHP and UPEC Université Paris-Est Créteil Créteil, France
                [3 ]Department of Applied Tumor Biology, Institute of Pathology, University Hospital Heidelberg Heidelberg, Germany
                [4 ]Clinical Cooperation Unit Applied Tumor Biology, German Cancer Research Center (DKFZ) Heidelberg, Germany
                [5 ]Molecular Medicine Partnership Unit (MMPU), University Hospital Heidelberg and European Molecular Biology Laboratory Heidelberg, Germany
                [6 ]Division of Preventive Oncology, National Center for Tumor Diseases (NCT) Heidelberg Heidelberg, Germany
                [7 ]German Cancer Research Center (DKFZ) Heidelberg, Germany
                [8 ]Department of Surgery, APHP and UPEC Université Paris-Est Créteil Créteil, France
                [9 ]Genomics Core Facility, European Molecular Biology Laboratory Heidelberg, Germany
                [10 ]Department of General, Visceral and Transplantation Surgery, University Hospital Heidelberg Heidelberg, Germany
                [11 ]Department of Radiology, APHP and UPEC Université Paris-Est Créteil Créteil, France
                [12 ]Department of Medical Oncology, APHP and UPEC Université Paris-Est Créteil Créteil, France
                [13 ]Department of Pathology and LIC-EA4393-EC2M3, APHP and UPEC Université Paris-Est Créteil Créteil, France
                [14 ]Department of Biological Information, Tokyo Institute of Technology Tokyo, Japan
                [15 ]Fred Hutchinson Cancer Research Center (FHCRC) Seattle, WA, USA
                [16 ]Max Delbrück Centre for Molecular Medicine Berlin, Germany
                Author notes
                *Corresponding author. Tel: +33 1 49814358; E-mail: iradj.sobhani@ 123456hmn.aphp.fr
                **Corresponding author. Tel: +49 6221 3878361; E-mail: bork@ 123456embl.de
                [†]

                These authors contributed equally to this work

                [‡]

                Present address: Department of Abdominal, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany

                Subject Categories Cancer; Systems Medicine

                Article
                10.15252/msb.20145645
                4299606
                25432777
                b14b1763-880d-4d98-a590-c1c38bc659db
                © 2014 The Authors. Published under the terms of the CC BY 4.0 license

                This is an open access article under the terms of the Creative Commons Attribution 4.0 License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 01 August 2014
                : 12 November 2014
                : 12 November 2014
                Categories
                Articles

                Quantitative & Systems biology
                cancer screening,colorectal cancer,fecal biomarkers,human gut microbiome,metagenomics

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