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
2011 Impact Factor: 4.771
2011 SCImago Journal Rankings: 0.578
DOIhttp://dx.doi.org/10.1002/cncr.21970
ISI Accession Number IDWOS:000238469500013
ReferencesReferences in Scopus
DC Field
Value
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
2011 Impact Factor: 4.771
2011 SCImago Journal Rankings: 0.578
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
Author Affiliations
  1. The University of Hong Kong
  2. Queen Mary Hospital Hong Kong