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Extracellular matrix gene expression profiling using microfluidics for colorectal carcinoma stratification

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Show simple item record Hayes, Christopher J. Dowling, Catríona M. Dwane, Susan McCumiskey, Mary E. Tormey, Shona M. Merrigan, Anne Coffey, John C. Kiely, Patrick A. Dalton, Tara 2017-02-15T12:42:39Z 2016
dc.identifier.citation Hayes, CJ,Dowling, CM,Dwane, S,McCumiskey, ME,Tormey, SM,Merrigan, BA,Coffey, JC,Kiely, PA,Dalton, TM (2016) 'Extracellular matrix gene expression profiling using microfluidics for colorectal carcinoma stratification'. Biomicrofluidics, 10 . en_US
dc.description peer-reviewed en_US
dc.description The full text of this article will not be available on ULIR until the embargo expires on the 31/10/2016
dc.description.abstract In cancer, biomarkers have many potential applications including generation of a differential diagnosis, prediction of response to treatment, and monitoring disease progression. Many molecular biomarkers have been put forward for different diseases but most of them do not possess the required specificity and sensitivity. A biomarker with a high sensitivity has a low specificity and vice versa. The inaccuracy of the biomarkers currently in use has led to a compelling need to identify more accurate markers with diagnostic and prognostic significance. The aim of the present study was to use a novel, droplet-based, microfluidic platform to evaluate the prognostic value of a panel of thirty-four genes that regulate the composition of extracellular matrices in colorectal carcinoma. Our method is a novel approach as it uses using continuous-flowing Polymerase Chain Reaction for the sensitive detection and accurate quantitation of gene expression. We identified a panel of relevant extracellular matrix genes whose expression levels were measured by real-time quantitative polymerase chain reaction using Taqman VR reagents in twenty-four pairs of matched colorectal cancer tumour and associated normal tissue. Differential expression patterns occurred between the normal and malignant tissue and correlated with histopathological parameters and overall surgical staging. The findings demonstrate that a droplet-based microfluidic quantitative PCR system enables biomarker classification. It was further possible to sub-classify colorectal cancer based on extracellular matrix protein expressing groups which in turn correlated with prognosis. (C) 2016 Author(s). en_US
dc.language.iso eng en_US
dc.publisher AIP Publishing en_US
dc.relation.ispartofseries Biomicrofluidics;10, 054124
dc.rights Copyright 2016 American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics en_US
dc.subject time quantitattive PCR en_US
dc.subject colon-cancer en_US
dc.subject cllinical-applications en_US
dc.subject clinicopathological significance en_US
dc.subject differential expression en_US
dc.title Extracellular matrix gene expression profiling using microfluidics for colorectal carcinoma stratification en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US 2017-02-15T12:31:29Z
dc.description.version PUBLISHED
dc.identifier.doi 10.1063/1.4966245
dc.contributor.sponsor Irish Cancer Society en_US
dc.contributor.sponsor SFI en_US
dc.relation.projectid CRS12DOW en_US
dc.relation.projectid 13/CDA/2228 en_US 2017-10-31
dc.embargo.terms 2017-10-31 en_US
dc.rights.accessrights info:eu-repo/semantics/embargoedAccess en_US
dc.internal.rssid 2693038
dc.internal.copyrightchecked Yes
dc.identifier.journaltitle Biomicrofluidics
dc.description.status peer-reviewed

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