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Altered Fecal Small RNA Profiles in Colorectal Cancer Reflect Gut Microbiome Composition in Stool Samples

S. Tarallo, G. Ferrero, G. Gallo, A. Francavilla, G. Clerico, A. Realis Luc, P. Manghi, AM. Thomas, P. Vineis, N. Segata, B. Pardini, A. Naccarati, F. Cordero,

. 2019 ; 4 (5) : . [pub] 20190917

Jazyk angličtina Země Spojené státy americké

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc19035677

Dysbiotic configurations of the human gut microbiota have been linked to colorectal cancer (CRC). Human small noncoding RNAs are also implicated in CRC, and recent findings suggest that their release in the gut lumen contributes to shape the gut microbiota. Bacterial small RNAs (bsRNAs) may also play a role in carcinogenesis, but their role has been less extensively explored. Here, we performed small RNA and shotgun sequencing on 80 stool specimens from patients with CRC or with adenomas and from healthy subjects collected in a cross-sectional study to evaluate their combined use as a predictive tool for disease detection. We observed considerable overlap and a correlation between metagenomic and bsRNA quantitative taxonomic profiles obtained from the two approaches. We identified a combined predictive signature composed of 32 features from human and microbial small RNAs and DNA-based microbiome able to accurately classify CRC samples separately from healthy and adenoma samples (area under the curve [AUC] = 0.87). In the present study, we report evidence that host-microbiome dysbiosis in CRC can also be observed by examination of altered small RNA stool profiles. Integrated analyses of the microbiome and small RNAs in the human stool may provide insights for designing more-accurate tools for diagnostic purposes.IMPORTANCE The characteristics of microbial small RNA transcription are largely unknown, while it is of primary importance for a better identification of molecules with functional activities in the gut niche under both healthy and disease conditions. By performing combined analyses of metagenomic and small RNA sequencing (sRNA-Seq) data, we characterized both the human and microbial small RNA contents of stool samples from healthy individuals and from patients with colorectal carcinoma or adenoma. With the integrative analyses of metagenomic and sRNA-Seq data, we identified a human and microbial small RNA signature which can be used to improve diagnosis of the disease. Our analysis of human and gut microbiome small RNA expression is relevant to generation of the first hypotheses about the potential molecular interactions occurring in the gut of CRC patients, and it can be the basis for further mechanistic studies and clinical tests.

Citace poskytuje Crossref.org

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$a Ferrero, Giulio $u Department of Computer Science, University of Turin, Turin, Italy.
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$a Gallo, Gaetano $u Department of Surgical and Medical Sciences, University of Catanzaro, Catanzaro, Italy. Department of Colorectal Surgery, Clinica S. Rita, Vercelli, Italy.
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$a Francavilla, Antonio $u Italian Institute for Genomic Medicine (IIGM), Turin, Italy.
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$a Clerico, Giuseppe $u Department of Colorectal Surgery, Clinica S. Rita, Vercelli, Italy.
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$a Realis Luc, Alberto $u Department of Colorectal Surgery, Clinica S. Rita, Vercelli, Italy.
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$a Manghi, Paolo $u Department CIBIO, University of Trento, Trento, Italy.
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$a Thomas, Andrew Maltez $u Department CIBIO, University of Trento, Trento, Italy.
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$a Vineis, Paolo $u Italian Institute for Genomic Medicine (IIGM), Turin, Italy. Imperial College, London, United Kingdom.
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$a Segata, Nicola $u Department CIBIO, University of Trento, Trento, Italy.
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$a Pardini, Barbara $u Italian Institute for Genomic Medicine (IIGM), Turin, Italy barbara.pardini@iigm.it. Department of Medical Sciences, University of Turin, Turin, Italy.
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$a Naccarati, Alessio $u Italian Institute for Genomic Medicine (IIGM), Turin, Italy. Department of Molecular Biology of Cancer, Institute of Experimental Medicine, Prague, Czech Republic.
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$a Cordero, Francesca $u Italian Institute for Genomic Medicine (IIGM), Turin, Italy. Department of Computer Science, University of Turin, Turin, Italy.
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