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Gastric Cancer-Specific Protein Profile Identified Using Endoscopic Biopsy Samples via MALDI Mass Spectrometry

  1. Author:
    Kim, H. K.
    Reyzer, M. L.
    Choi, I. J.
    Kim, C. G.
    Kim, H. S.
    Oshima, A.
    Chertov, O.
    Colantonio, S.
    Fisher, R. J.
    Allen, J. L.
    Caprioli, R. M.
    Green, J. E.

  2. Author Address

    [Kim, Hark Kyun; Oshima, Akira; Green, Jeffrey E.] NCI, Lab Canc Biol & Genet, Bethesda, MD 20892 USA. [Kim, Hark Kyun; Choi, Il Ju; Kim, Chan Gyoo; Kim, Hee Sung] Natl Canc Ctr, Goyang 410769, Gyeonggi, South Korea. [Reyzer, Michelle L.; Allen, Jamie L.; Caprioli, Richard M.] Vanderbilt Univ, Mass Spectrometry Res Ctr, Nashville, TN 37232 USA. [Chertov, Oleg; Colantonio, Simona; Fisher, Robert J.] NCI, Prot Chem Lab, SAIC Frederick Inc, Frederick, MD 21702 USA.;Green, JE, NCI, Lab Canc Biol & Genet, Bldg 37,Room 4054,37 Convent Dr, Bethesda, MD 20892 USA.;jegreen@nih.gov
    1. Year: 2010
    2. Date: Aug
  2. Journal: Journal of Proteome Research
    1. 9
    2. 8
    3. Pages: 4123-4130
  4. Type of Article: Article
  5. ISSN: 1535-3893
  1. Abstract:

    To date, proteomic analyses on gastrointestinal cancer tissue samples have been performed using surgical specimens only, which are obtained after a diagnosis is made. To determine if a proteomic signature obtained from endoscopic biopsy samples could be found to assist with diagnosis, frozen endoscopic biopsy samples collected from 63 gastric cancer patients and 43 healthy volunteers were analyzed using matrix-assisted laser desorption/ionization (MALDI) mass spectrometry. A statistical classification model was developed to distinguish tumor from normal tissues using half the samples and validated with the other half. A protein profile was discovered consisting of 73 signals that could classify 32 cancer and 22 normal samples in the validation set with high predictive values (positive and negative predictive values for cancer, 96.8% and 91.3%; sensitivity, 93.8%; specificity, 95.5%). Signals overexpressed in tumors were identified as alpha-defensin-1, alpha-defensin-2, calgranulin A, and calgranulin B. A protein profile was also found to distinguish pathologic stage la (pT1N0M0) samples In = 10) from more advanced stage (Ib or higher) tumors (n = 48). Thus, protein profiles obtained from endoscopic biopsy samples may be useful in assisting with the diagnosis of gastric cancer and, possibly, in identifying early stage disease.

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External Sources

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  2. DOI: 10.1021/pr100302b
  3. View record in Web of Science®
  4. WOS: 000280583700034

Library Notes

  1. Fiscal Year: FY2009-2010
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