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Article: Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry serum protein profiling to identify nasopharyngeal carcinoma
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TitleSurface-enhanced laser desorption/ionization time-of-flight mass spectrometry serum protein profiling to identify nasopharyngeal carcinoma
 
AuthorsHo, DWY1
Yang, ZF1
Wong, BYH1
Kwong, DLW1
Sham, JST1
Wei, WI1
Yuen, APW1 2
 
KeywordsBiomarker
Classification and regression tree (CART)
Mass spectrometry
Nasopharyngeal carcinoma (NPC)
Surface-enhanced laser desorption/ionization (SELDI)
 
Issue Date2006
 
PublisherJohn Wiley & Sons, Inc. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/28741
 
CitationCancer, 2006, v. 107 n. 1, p. 99-107 [How to Cite?]
DOI: http://dx.doi.org/10.1002/cncr.21970
 
AbstractBACKGROUND. Diagnosis of nasopharyngeal carcinoma (NPC) at an early disease-stage is important for successful treatment and improving the outcome of patients. The use of serum protein profiles and a classification tree algorithm were explored to distinguish NPC from noncancer. METHODS. Serum samples were applied to metal affinity protein chips to generate mass spectra by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS). Protein peak identification and clustering were performed using the Biomarker Wizard software. Proteomic spectra of serum samples from 50 NPC patients and 54 noncancer controls were used as a training set and a classification tree with 6 distinct protein masses was generated by using Biomarker Pattern software. The validity of the classification tree was then challenged with a blind test set including another 20 NPC patients and 25 noncancer controls. RESULTS. The software identified an average of 93 mass peaks/spectrum and 6 of the identified peaks were used to construct the classification tree. The classification tree correctly determined 83% (123 of 149) of the test samples with 83% (58 of 70) of the NPC samples and 82% (65 of 79) of the noncancer samples. In a combination of the serum protein profiles with Epstein-Barr (EBV) nuclear antigen 1 (EBNAI IgA) test, the diagnostic sensitivity and specificity were increased to 99% and 96%, respectively. CONCLUSIONS. The results suggest that SELDI-TOF-MS serum protein profiles could discriminate NPC from noncancer. The combination of serum protein profiles with an EBV antibody serology test could further improve the accuracy of NPC screening. © 2006 American Cancer Society.
 
ISSN0008-543X
2013 Impact Factor: 4.901
 
DOIhttp://dx.doi.org/10.1002/cncr.21970
 
ISI Accession Number IDWOS:000238469500013
 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorHo, DWY
 
dc.contributor.authorYang, ZF
 
dc.contributor.authorWong, BYH
 
dc.contributor.authorKwong, DLW
 
dc.contributor.authorSham, JST
 
dc.contributor.authorWei, WI
 
dc.contributor.authorYuen, APW
 
dc.date.accessioned2010-09-06T06:36:20Z
 
dc.date.available2010-09-06T06:36:20Z
 
dc.date.issued2006
 
dc.description.abstractBACKGROUND. Diagnosis of nasopharyngeal carcinoma (NPC) at an early disease-stage is important for successful treatment and improving the outcome of patients. The use of serum protein profiles and a classification tree algorithm were explored to distinguish NPC from noncancer. METHODS. Serum samples were applied to metal affinity protein chips to generate mass spectra by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS). Protein peak identification and clustering were performed using the Biomarker Wizard software. Proteomic spectra of serum samples from 50 NPC patients and 54 noncancer controls were used as a training set and a classification tree with 6 distinct protein masses was generated by using Biomarker Pattern software. The validity of the classification tree was then challenged with a blind test set including another 20 NPC patients and 25 noncancer controls. RESULTS. The software identified an average of 93 mass peaks/spectrum and 6 of the identified peaks were used to construct the classification tree. The classification tree correctly determined 83% (123 of 149) of the test samples with 83% (58 of 70) of the NPC samples and 82% (65 of 79) of the noncancer samples. In a combination of the serum protein profiles with Epstein-Barr (EBV) nuclear antigen 1 (EBNAI IgA) test, the diagnostic sensitivity and specificity were increased to 99% and 96%, respectively. CONCLUSIONS. The results suggest that SELDI-TOF-MS serum protein profiles could discriminate NPC from noncancer. The combination of serum protein profiles with an EBV antibody serology test could further improve the accuracy of NPC screening. © 2006 American Cancer Society.
 
dc.description.naturelink_to_subscribed_fulltext
 
dc.identifier.citationCancer, 2006, v. 107 n. 1, p. 99-107 [How to Cite?]
DOI: http://dx.doi.org/10.1002/cncr.21970
 
dc.identifier.doihttp://dx.doi.org/10.1002/cncr.21970
 
dc.identifier.epage107
 
dc.identifier.hkuros119065
 
dc.identifier.hkuros137546
 
dc.identifier.isiWOS:000238469500013
 
dc.identifier.issn0008-543X
2013 Impact Factor: 4.901
 
dc.identifier.issue1
 
dc.identifier.openurl
 
dc.identifier.pmid16708360
 
dc.identifier.scopuseid_2-s2.0-33745318656
 
dc.identifier.spage99
 
dc.identifier.urihttp://hdl.handle.net/10722/71904
 
dc.identifier.volume107
 
dc.languageeng
 
dc.publisherJohn Wiley & Sons, Inc. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/28741
 
dc.publisher.placeUnited States
 
dc.relation.ispartofCancer
 
dc.relation.referencesReferences in Scopus
 
dc.rightsCancer. Copyright © John Wiley & Sons, Inc.
 
dc.subject.meshAdult
 
dc.subject.meshAged
 
dc.subject.meshAged, 80 and over
 
dc.subject.meshAlgorithms
 
dc.subject.meshBiological Markers - blood
 
dc.subject.meshDecision Trees
 
dc.subject.meshFemale
 
dc.subject.meshHumans
 
dc.subject.meshMale
 
dc.subject.meshMicrochip Analytical Procedures
 
dc.subject.meshMiddle Aged
 
dc.subject.meshNasopharyngeal Neoplasms - blood - classification - diagnosis
 
dc.subject.meshNeoplasm Proteins - blood
 
dc.subject.meshReproducibility of Results
 
dc.subject.meshSensitivity and Specificity
 
dc.subject.meshSpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods
 
dc.subject.meshSurface Properties
 
dc.subjectBiomarker
 
dc.subjectClassification and regression tree (CART)
 
dc.subjectMass spectrometry
 
dc.subjectNasopharyngeal carcinoma (NPC)
 
dc.subjectSurface-enhanced laser desorption/ionization (SELDI)
 
dc.titleSurface-enhanced laser desorption/ionization time-of-flight mass spectrometry serum protein profiling to identify nasopharyngeal carcinoma
 
dc.typeArticle
 
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Author Affiliations
  1. The University of Hong Kong
  2. Queen Mary Hospital Hong Kong