Genome-wide and gene-specific epigenomic platforms for hepatocellular carcinoma biomarker development trials

dc.contributor.authorMichailidi, Christina
dc.contributor.authorSoudry, Ethan
dc.contributor.authorBrait, Mariana
dc.contributor.authorMaldonado, Leonel
dc.contributor.authorJaffe, Andrew
dc.contributor.authorIli-Gangas, Carmen
dc.contributor.authorBrebi-Mieville, Priscilla
dc.contributor.authorPerez, Jimena
dc.contributor.authorKim, Myoung Sook
dc.contributor.authorZhong, Xiaoli
dc.contributor.authorYang, Quiang
dc.contributor.authorValle, Blanca
dc.contributor.authorMeltzer, Stephen J.
dc.contributor.authorTorbenson, Michael
dc.contributor.authorEsteller, Manel
dc.contributor.authorSidransky, David
dc.contributor.authorRafael, Guerrero-Preston
dc.date.accessioned2018-07-30T09:18:00Z
dc.date.available2018-07-30T09:18:00Z
dc.date.issued2014-04-15
dc.date.updated2018-07-30T09:18:01Z
dc.description.abstractThe majority of the epigenomic reports in hepatocellular carcinoma have focused on identifying novel differentially methylated drivers or passengers of the oncogenic process. Few reports have considered the technologies in place for clinical translation of newly identified biomarkers. The aim of this study was to identify epigenomic technologies that need only a small number of samples to discriminate HCC from non-HCC tissue, a basic requirement for biomarker development trials. To assess that potential, we used quantitative Methylation Specific PCR, oligonucleotide tiling arrays, and Methylation BeadChip assays. Concurrent global DNA hypomethylation, gene-specific hypermethylation, and chromatin alterations were observed as a hallmark of HCC. A global loss of promoter methylation was observed in HCC with the Illumina BeadChip assays and the Nimblegen oligonucleotide arrays. HCC samples had lower median methylation peak scores and a reduced number of significant promoter-wide methylated probes. Promoter hypermethylation of RASSF1A, SSBP2, and B4GALT1 quantified by qMSP had a sensitivity ranging from 38% to 52%, a specificity of 100%, and an AUC from 0.58 to 0.75. A panel combining these genes with HCC risk factors had a sensitivity of 87%, a specificity of 100%, and an AUC of 0.91.
dc.format.extent9 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec662710
dc.identifier.issn1687-6121
dc.identifier.pmid24829571
dc.identifier.urihttps://hdl.handle.net/2445/124045
dc.language.isoeng
dc.publisherHindawi Publishing Corporation
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1155/2014/597164
dc.relation.ispartofGastroenterology Research and Practice, 2014, vol. 2014, num. 597164, p. 1-9
dc.relation.urihttps://doi.org/10.1155/2014/597164
dc.rightscc-by (c) Michailidi, Christina et al., 2014
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es
dc.sourceArticles publicats en revistes (Ciències Fisiològiques)
dc.subject.classificationEpigenètica
dc.subject.classificationCèl·lules hepàtiques
dc.subject.classificationMarcadors bioquímics
dc.subject.classificationCàncer de fetge
dc.subject.classificationMetilació
dc.subject.otherEpigenetics
dc.subject.otherLiver cells
dc.subject.otherBiochemical markers
dc.subject.otherLiver cancer
dc.subject.otherMethylation
dc.titleGenome-wide and gene-specific epigenomic platforms for hepatocellular carcinoma biomarker development trials
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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