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Cancer diagnosis using proteomic patterns

  1. Author:
    Conrods, T. P.
    Zhou, M.
    Petricoin, E. F.
    Liotta, L.
    Veenstra, T. D.

  2. Author Address

    Veenstra, TD, SAIC Frederick Inc, Biomed Proteom Program, NCI, Mass Spectrometry Ctr, POB B, Frederick, MD 21702 USA SAIC Frederick Inc, Biomed Proteom Program, NCI, Mass Spectrometry Ctr, Frederick, MD 21702 USA. NCI, Clin Proteom Program, Ctr Biol Evaluat & Res, Bethesda, MD 20892 USA. NCI, Clin Proteom Program, Pathol Lab, Ctr Canc Res, Bethesda, MD 20892 USA. SAIC Frederick Inc, Biomed Proteom Program, NCI, Analyt Chem Lab, Frederick, MD 21702 USA.
    1. Year: 2003
  2. Journal: Expert Review of Molecular Diagnostics
    1. 3
    2. 4
    3. Pages: 411-420
  4. Type of Article: Review
  1. Abstract:

    The advent of proteomics has brought with it the hope of discovering novel biomarkers that can be used to diagnose diseases, predict susceptibility and monitor progression. Much of this effort has focused upon the mass spectral identification of the thousands of proteins that populate complex biosystems such as serum and tissues. A revolutionary approach in proteomic pattern analysis has emerged as an effective method for the early diagnosis of diseases such as ovarian cancer. Proteomic pattern analysis relies on the pattern of proteins observed and does not rely on the identification of a traceable biomarker. Hundreds of clinical samples per day can be analyzed utilizing this technology, which has the potential to be a novel, highly sensitive diagnostic tool for the early detection of cancer

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