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Article: Diagnosis of Gastric Cancer by Serum Proteomic Fingerprinting

TitleDiagnosis of Gastric Cancer by Serum Proteomic Fingerprinting
Authors
Issue Date2006
PublisherWB Saunders Co. The Journal's web site is located at http://www.elsevier.com/locate/gastro
Citation
Gastroenterology, 2006, v. 130 n. 6, p. 1858-1864 How to Cite?
AbstractBackground & Aims Accurate serum biomarkers for gastric cancer currently are lacking. We attempted to identify potential diagnostic serum markers for gastric cancer with the use of the surface-enhanced laser desorption/ionization ProteinChip technology. Methods The study was divided into 3 phases: (1) discovery of potential diagnostic markers using sera of gastric cancer patients and controls, (2) development of a diagnostic model, and (3) independent validation of the diagnostic model using a different cohort of gastric cancer and control patients. The serum proteins/peptides were analyzed with 2 types of ProteinChip arrays, IMAC30 arrays loaded with copper (II) ion and CM10 (weak cation exchange) arrays. Results In the discovery set, peak intensities of 31 surface-enhanced laser desorption/ionization proteomic features were significantly higher in gastric cancer patients. The tumor-specific nature of 6 proteomic features with the mass/charge (m/z) values of 5098, 8592, 8610, 11,468, 11,804, and 50,140 was verified by their lower peak intensities in postoperative sera. After excluding the sodium adduct peak (8610 m/z) of the 8592 m/z protein, the peak intensities of the tumor-specific proteomic features were used to develop a linear regression model for calculating a diagnostic index. The area under the receiver operating characteristic curve of the corresponding diagnostic index was 0.92 (95% confidence interval, 0.85-0.99) in the independent validation set. At a specificity of 95%, the sensitivity for gastric cancer detection was 83%. Conclusions A unique serum proteomic fingerprint can be detected in the sera of gastric cancer patients, which may be useful in the noninvasive diagnosis of gastric cancer. © 2006 American Gastroenterological Association Institute.
Persistent Identifierhttp://hdl.handle.net/10722/162973
ISSN
2015 Impact Factor: 18.187
2015 SCImago Journal Rankings: 7.170
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorPoon, TCWen_US
dc.contributor.authorSung, JJYen_US
dc.contributor.authorChow, SMen_US
dc.contributor.authorNg, EKWen_US
dc.contributor.authorYu, ACWen_US
dc.contributor.authorChu, ESHen_US
dc.contributor.authorHui, AMYen_US
dc.contributor.authorLeung, WKen_US
dc.date.accessioned2012-09-05T05:26:04Z-
dc.date.available2012-09-05T05:26:04Z-
dc.date.issued2006en_US
dc.identifier.citationGastroenterology, 2006, v. 130 n. 6, p. 1858-1864en_US
dc.identifier.issn0016-5085en_US
dc.identifier.urihttp://hdl.handle.net/10722/162973-
dc.description.abstractBackground & Aims Accurate serum biomarkers for gastric cancer currently are lacking. We attempted to identify potential diagnostic serum markers for gastric cancer with the use of the surface-enhanced laser desorption/ionization ProteinChip technology. Methods The study was divided into 3 phases: (1) discovery of potential diagnostic markers using sera of gastric cancer patients and controls, (2) development of a diagnostic model, and (3) independent validation of the diagnostic model using a different cohort of gastric cancer and control patients. The serum proteins/peptides were analyzed with 2 types of ProteinChip arrays, IMAC30 arrays loaded with copper (II) ion and CM10 (weak cation exchange) arrays. Results In the discovery set, peak intensities of 31 surface-enhanced laser desorption/ionization proteomic features were significantly higher in gastric cancer patients. The tumor-specific nature of 6 proteomic features with the mass/charge (m/z) values of 5098, 8592, 8610, 11,468, 11,804, and 50,140 was verified by their lower peak intensities in postoperative sera. After excluding the sodium adduct peak (8610 m/z) of the 8592 m/z protein, the peak intensities of the tumor-specific proteomic features were used to develop a linear regression model for calculating a diagnostic index. The area under the receiver operating characteristic curve of the corresponding diagnostic index was 0.92 (95% confidence interval, 0.85-0.99) in the independent validation set. At a specificity of 95%, the sensitivity for gastric cancer detection was 83%. Conclusions A unique serum proteomic fingerprint can be detected in the sera of gastric cancer patients, which may be useful in the noninvasive diagnosis of gastric cancer. © 2006 American Gastroenterological Association Institute.en_US
dc.languageengen_US
dc.publisherWB Saunders Co. The Journal's web site is located at http://www.elsevier.com/locate/gastroen_US
dc.relation.ispartofGastroenterologyen_US
dc.subject.meshAdulten_US
dc.subject.meshAgeden_US
dc.subject.meshCase-Control Studiesen_US
dc.subject.meshFemaleen_US
dc.subject.meshHumansen_US
dc.subject.meshMaleen_US
dc.subject.meshMiddle Ageden_US
dc.subject.meshNeoplasm Stagingen_US
dc.subject.meshPeptide Mappingen_US
dc.subject.meshProbabilityen_US
dc.subject.meshProtein Array Analysisen_US
dc.subject.meshProteomics - Methodsen_US
dc.subject.meshRoc Curveen_US
dc.subject.meshSensitivity And Specificityen_US
dc.subject.meshStatistics, Nonparametricen_US
dc.subject.meshStomach Neoplasms - Diagnosis - Geneticsen_US
dc.titleDiagnosis of Gastric Cancer by Serum Proteomic Fingerprintingen_US
dc.typeArticleen_US
dc.identifier.emailLeung, WK:waikleung@hku.hken_US
dc.identifier.authorityLeung, WK=rp01479en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1053/j.gastro.2006.02.011en_US
dc.identifier.pmid16697748-
dc.identifier.scopuseid_2-s2.0-33646366203en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33646366203&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume130en_US
dc.identifier.issue6en_US
dc.identifier.spage1858en_US
dc.identifier.epage1864en_US
dc.identifier.isiWOS:000237686700035-
dc.publisher.placeUnited Statesen_US
dc.identifier.f100014018-
dc.identifier.scopusauthoridPoon, TCW=7006151710en_US
dc.identifier.scopusauthoridSung, JJY=35405352400en_US
dc.identifier.scopusauthoridChow, SM=7201828416en_US
dc.identifier.scopusauthoridNg, EKW=7201647539en_US
dc.identifier.scopusauthoridYu, ACW=36860075800en_US
dc.identifier.scopusauthoridChu, ESH=8631130300en_US
dc.identifier.scopusauthoridHui, AMY=13408435200en_US
dc.identifier.scopusauthoridLeung, WK=7201504523en_US

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