Discrimination Analysis of Mass Spectrometry Proteomics for Lung Adenocarcinoma Detection.

Objective: To screen for the potential protein biomarkers in serum for the diagnosis of lung adenocarcinoma using proteomic fingerprint technology. Methods: Proteomic fingerprint technology combining magnetic beads (SED) with Matrix-assisted laser desorption/ionization time-of-flight mass spectromet...

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Publicado en:Laboratory Medicine Vol. 42; no. 6; pp. 344 - 350
Autores principales: Jin Hong, Dai Ze-ning, Jin Chun-lan, Hong Jin, Ze-ning Dai, Chun-lan Jin
Formato: research tables/charts Journal Article
Publicado: Oxford University Press / USA Jun2011
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Discrimination Analysis of Mass Spectrometry Proteomics for Lung Adenocarcinoma Detection.
      aug:
        au:
          Jin Hong
          Dai Ze-ning
          Jin Chun-lan
          Hong Jin
          Ze-ning Dai
          Chun-lan Jin
        affil: Department of Laboratory, Sir Run Run Shaw Hospital of the Medicine School of Zhejiang University, Hangzhou; Key Laboratory of Biotherapy of Zhejiang Province, Hangzhou, People's Republic of China
      sug:
        subj:
          Lung Neoplasms Diagnosis
          Adenocarcinoma Diagnosis
          Proteomics
          Tumor Markers, Biological Blood
          Mass Spectrometry Methods
          Human
          Protein Array Analysis
          T-Tests
          Decision Trees
          Bioinformatics
      ab: Objective: To screen for the potential protein biomarkers in serum for the diagnosis of lung adenocarcinoma using proteomic fingerprint technology. Methods: Proteomic fingerprint technology combining magnetic beads (SED) with Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) was used to profile and compare the serum proteins from 138 patients with lung adenocarcinoma and 120 healthy blood donors. Results: A total of 38 discriminating m/z peaks were identified that were related to lung adenocarcinoma (P<0.01). Four differently expressed potential biomarkers were identified with the relative molecular weights of 11644.1Da, 6298.7Da, 5840.4Da, and 3975.2Da, respectively. Among them 2 proteins with m/z 6298.7Da, 3975.2Da decreased, and 2 proteins with m/z 5840.4Da, 11644.1Da increased in lung adenocarcinoma. This diagnostic model can distinguish lung adenocarcinoma from healthy controls with a sensitivity of 92.85% and a specificity of 91.25%. Conclusions: Biomarkers for lung adenocarcinoma could be discovered in serum by MALDI-TOF-MS combining the use of SED.
      pubtype: Academic Journal
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        research
        tables/charts
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      ougenre: Article
    language: English
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