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    • Christopher S. Bond Life Sciences Center (MU)
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    Proteomics of canine lymphoma identifies potential cancer-specific protein markers

    McCaw, Dudley L.
    Chan, Arvan S.
    Stegner, Andrew L.
    Mooney, Brian P.
    Bryan, Jeffrey N.
    Turnquist, Susan E.
    Henry, Carolyn J.
    Alexander, Hannah, 1947-
    Alexander, Stephen, 1948-
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    [PDF] ProteomicsCanineLymphoma.pdf (234.5Kb)
    Date
    2007
    Format
    Article
    Metadata
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    Abstract
    Purpose: Early diagnosis of cancer is crucial for the success of treatment of the disease, and there is a need for markers whose differential expression between disease and normal tissue could be used as a diagnostic tool. Spontaneously occurring malignancies in pets provide a logical tool for translational research for human oncology. Lymphoma, one of the most common neoplasms in dogs, is similar to human non-Hodgkin's lymphoma and could serve as an experimental model system. Experimental Design: Thirteen lymph nodes from normal dogs and 11 lymph nodes from dogs with B-cell lymphoma were subjected to proteomic analysis using two-dimensional PAGE separation and matrix-assisted laser desorption/ionization time-of-flight analysis. Results: A total of 93 differentially expressed spots was subjected to matrix-assisted laser desorption/ionization time-of-flight tandem mass spectrometry analysis, and several proteins that showed differential expression were identified. Of these, prolidase (proline dipeptidase), triosephosphate isomerase, and glutathione S-transferase were down-regulated in lymphoma samples, whereas macrophage capping protein was up-regulated in the lymphoma samples. Conclusions: These proteins represent potential markers for the diagnosis of lymphoma and should be further investigated in human samples for validation of their utility as diagnostic markers.
    URI
    http://hdl.handle.net/10355/3255
    Part of
    Proteomics Center publications (MU)
    Citation
    Clinical Cancer Research April 15, 2007 13, 2496
    Rights
    OpenAccess
    This work is licensed under a Creative Commons Attribution-NonCommerical-NoDerivs 3.0 License.
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    • Proteomics Center publications (MU)

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