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Article: Toward the proteomic identification of biomarkers for the prediction of HBV related hepatocellular carcinoma

TitleToward the proteomic identification of biomarkers for the prediction of HBV related hepatocellular carcinoma
Authors
Keywords2DE
HBV
HCC
MALDI-TOF MS
Protein profiling
SELDI-TOF ProteinChip
Serum markers
Tumor biomarkers
Issue Date2008
PublisherJohn Wiley & Sons, Inc. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/35503
Citation
Journal Of Cellular Biochemistry, 2008, v. 103 n. 3, p. 740-752 How to Cite?
AbstractEarly detection is a key step for effective intervention of hepatocellular carcinoma (HCC), the lack of sensitive and specific biomarkers is a major reason for the high rate of HCC-related mortality. This report described an integrated strategy by combining SELDI-ProteinChip, sophisticated algorithm analysis, acetonitrile (ACN) pre-treatment and two-dimensional electrophoresis (2DE)-peptide mass fingerprinting (PMF) techniques to identify serological markers for the prediction of HBV-related HCC. Proteomic profiling of three groups of serum specimens from HBV-related HCC (50 cases), HBV infection (45 cases), and normal subjects (30 cases) was conducted by using SELDI-ProteinChip system and the resulting different protein peaks were subjected to stepwise statistical analyses. Three most discriminatory peaks at 5890, 11615, and 11724 Da, respectively, were screened out from the statistical algorithm and a predictive model based on the three peaks was constructed and tested using the newly enrolled serum samples. 2DE was applied to separate and compare the serum samples that were pre-treated by ACN precipitation. The protein spots obviously intensified in HCC sera in the 2DE region of 12 kDa were identified by PMF to be serum SAA, which was validated by SELDI-TOF spectra of HCC sera after immunoprecipitation using anti-SAA antibody and by Western blot experiments. Given the fact that SAA is not a specific biomarker, further attempt is being made to identify the other two most discriminatory peaks to realize the possibility of using the predictive model for HCC surveillance and prediction. © 2007 Wiley-Liss, Inc.
Persistent Identifierhttp://hdl.handle.net/10722/81505
ISSN
2015 Impact Factor: 3.446
2015 SCImago Journal Rankings: 1.520
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorHe, QYen_HK
dc.contributor.authorZhu, Ren_HK
dc.contributor.authorLei, Ten_HK
dc.contributor.authorNg, MYMen_HK
dc.contributor.authorLuk, JMen_HK
dc.contributor.authorSham, Pen_HK
dc.contributor.authorLau, GKKen_HK
dc.contributor.authorChiu, JFen_HK
dc.date.accessioned2010-09-06T08:18:34Z-
dc.date.available2010-09-06T08:18:34Z-
dc.date.issued2008en_HK
dc.identifier.citationJournal Of Cellular Biochemistry, 2008, v. 103 n. 3, p. 740-752en_HK
dc.identifier.issn0730-2312en_HK
dc.identifier.urihttp://hdl.handle.net/10722/81505-
dc.description.abstractEarly detection is a key step for effective intervention of hepatocellular carcinoma (HCC), the lack of sensitive and specific biomarkers is a major reason for the high rate of HCC-related mortality. This report described an integrated strategy by combining SELDI-ProteinChip, sophisticated algorithm analysis, acetonitrile (ACN) pre-treatment and two-dimensional electrophoresis (2DE)-peptide mass fingerprinting (PMF) techniques to identify serological markers for the prediction of HBV-related HCC. Proteomic profiling of three groups of serum specimens from HBV-related HCC (50 cases), HBV infection (45 cases), and normal subjects (30 cases) was conducted by using SELDI-ProteinChip system and the resulting different protein peaks were subjected to stepwise statistical analyses. Three most discriminatory peaks at 5890, 11615, and 11724 Da, respectively, were screened out from the statistical algorithm and a predictive model based on the three peaks was constructed and tested using the newly enrolled serum samples. 2DE was applied to separate and compare the serum samples that were pre-treated by ACN precipitation. The protein spots obviously intensified in HCC sera in the 2DE region of 12 kDa were identified by PMF to be serum SAA, which was validated by SELDI-TOF spectra of HCC sera after immunoprecipitation using anti-SAA antibody and by Western blot experiments. Given the fact that SAA is not a specific biomarker, further attempt is being made to identify the other two most discriminatory peaks to realize the possibility of using the predictive model for HCC surveillance and prediction. © 2007 Wiley-Liss, Inc.en_HK
dc.languageengen_HK
dc.publisherJohn Wiley & Sons, Inc. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/35503en_HK
dc.relation.ispartofJournal of Cellular Biochemistryen_HK
dc.rightsJournal of Cellular Biochemistry. Copyright © John Wiley & Sons, Inc.en_HK
dc.subject2DEen_HK
dc.subjectHBVen_HK
dc.subjectHCCen_HK
dc.subjectMALDI-TOF MSen_HK
dc.subjectProtein profilingen_HK
dc.subjectSELDI-TOF ProteinChipen_HK
dc.subjectSerum markersen_HK
dc.subjectTumor biomarkersen_HK
dc.titleToward the proteomic identification of biomarkers for the prediction of HBV related hepatocellular carcinomaen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0730-2312&volume=103&spage=740&epage=752&date=2008&atitle=Toward+the+proteomic+identification+of+biomarkers+for+the+prediction+of+HBV+related+hepatocellular+carcinomaen_HK
dc.identifier.emailLuk, JM: jmluk@hkucc.hku.hken_HK
dc.identifier.emailSham, P: pcsham@hku.hken_HK
dc.identifier.authorityLuk, JM=rp00349en_HK
dc.identifier.authoritySham, P=rp00459en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/jcb.21443en_HK
dc.identifier.pmid17557278en_HK
dc.identifier.scopuseid_2-s2.0-39049137614en_HK
dc.identifier.hkuros141596en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-39049137614&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume103en_HK
dc.identifier.issue3en_HK
dc.identifier.spage740en_HK
dc.identifier.epage752en_HK
dc.identifier.isiWOS:000253132800005-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridHe, QY=34770287900en_HK
dc.identifier.scopusauthoridZhu, R=37098459300en_HK
dc.identifier.scopusauthoridLei, T=37000963500en_HK
dc.identifier.scopusauthoridNg, MYM=8367886400en_HK
dc.identifier.scopusauthoridLuk, JM=7006777791en_HK
dc.identifier.scopusauthoridSham, P=34573429300en_HK
dc.identifier.scopusauthoridLau, GKK=7102301257en_HK
dc.identifier.scopusauthoridChiu, JF=7201501692en_HK
dc.identifier.citeulike3403072-

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