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A lectin-coupled, targeted proteomic mass spectrometry (MRM MS) platform for identification of multiple liver cancer biomarkers in human plasma

DC Field Value Language
dc.contributor.author김호근-
dc.date.accessioned2014-12-19T17:15:39Z-
dc.date.available2014-12-19T17:15:39Z-
dc.date.issued2012-
dc.identifier.issn1874-3919-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/91077-
dc.description.abstractAberrantly glycosylated proteins related to liver cancer progression were captured with specific lectin and identified from human plasma by multiple reaction monitoring (MRM) mass spectrometry as multiple biomarkers for hepatocellular carcinoma (HCC). The lectin fractionation for fucosylated protein glycoforms in human plasma was conducted with a fucose-specific aleuria aurantia lectin (AAL). Following tryptic digestion of the lectin-captured fraction, plasma samples from 30 control cases (including 10 healthy, 10 hepatitis B virus [HBV], and 10 cirrhosis cases) and 10 HCC cases were quantitatively analyzed by MRM to identify which glycoproteins are viable HCC biomarkers. A1AG1, AACT, A1AT, and CERU were found to be potent biomarkers to differentiate HCC plasma from control plasmas. The AUROC generated independently from these four biomarker candidates ranged from 0.73 to 0.92. However, the lectin-coupled MRM assay with multiple combinations of biomarker candidates is superior statistically to those generated from the individual candidates with AUROC more than 0.95, which can be an alternative to the immunoassay inevitably requiring tedious development of multiple antibodies against biomarker candidates to be verified. Eventually the lectin-coupled, targeted proteomic mass spectrometry (MRM MS) platform was found to be efficient to identify multiple biomarkers from human plasma according to cancer progression.-
dc.description.statementOfResponsibilityopen-
dc.relation.isPartOfJOURNAL OF PROTEOMICS-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAdult-
dc.subject.MESHAged-
dc.subject.MESHAmino Acid Sequence-
dc.subject.MESHBiomarkers, Tumor/isolation & purification*-
dc.subject.MESHBiomarkers, Tumor/metabolism-
dc.subject.MESHBlood Chemical Analysis/methods-
dc.subject.MESHCarbohydrate Sequence-
dc.subject.MESHCarcinoma, Hepatocellular/blood*-
dc.subject.MESHCarcinoma, Hepatocellular/diagnosis-
dc.subject.MESHCarcinoma, Hepatocellular/metabolism-
dc.subject.MESHCase-Control Studies-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHLectins/chemistry*-
dc.subject.MESHLectins/metabolism-
dc.subject.MESHLiver Neoplasms/blood*-
dc.subject.MESHLiver Neoplasms/diagnosis-
dc.subject.MESHLiver Neoplasms/metabolism-
dc.subject.MESHMale-
dc.subject.MESHMass Spectrometry/methods*-
dc.subject.MESHMiddle Aged-
dc.subject.MESHModels, Biological-
dc.subject.MESHMolecular Sequence Data-
dc.subject.MESHPlasma/chemistry-
dc.subject.MESHPlasma/metabolism-
dc.subject.MESHProteomics/methods*-
dc.titleA lectin-coupled, targeted proteomic mass spectrometry (MRM MS) platform for identification of multiple liver cancer biomarkers in human plasma-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Pathology (병리학)-
dc.contributor.googleauthorYeong Hee Ahn-
dc.contributor.googleauthorPark Min Shin-
dc.contributor.googleauthorNa Ree Oh-
dc.contributor.googleauthorGun Wook Park-
dc.contributor.googleauthorHoguen Kim-
dc.contributor.googleauthorJong Shin Yoo-
dc.identifier.doi10.1016/j.jprot.2012.06.027-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA01183-
dc.relation.journalcodeJ01721-
dc.identifier.eissn1876-7737-
dc.identifier.pmid22789673-
dc.identifier.urlhttp://www.sciencedirect.com/science/article/pii/S1874391912004940-
dc.subject.keywordAberrant glycosylation-
dc.subject.keywordLectin-
dc.subject.keywordLiver cancer biomarker-
dc.subject.keywordMultiple reaction monitoring-
dc.subject.keywordMass spectrometry-
dc.contributor.alternativeNameKim, Ho Keun-
dc.contributor.affiliatedAuthorKim, Ho Keun-
dc.citation.volume75-
dc.citation.number17-
dc.citation.startPage5507-
dc.citation.endPage5515-
dc.identifier.bibliographicCitationJOURNAL OF PROTEOMICS, Vol.75(17) : 5507-5515, 2012-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers

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