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The Untapped Potential of Genetically Engineered Mouse Models in Chemoprevention Research: Opportunities and Challenges

  1. Author:
    Abate-Shen, C.
    Brown, P. H.
    Colburn, N. H.
    Gerner, E. W.
    Green, J. E.
    Lipkin, M.
    Nelson, W. G.
    Threadgill, D.

  2. Author Address

    Abate-Shen, Cory] Columbia Univ Coll Phys & Surg, Herbert Irving Comprehens Canc Ctr, Dept Urol, New York, NY 10032 USA. [Lipkin, Martin] Cornell Univ, Weill Med Coll, Strang Canc Prevent Ctr, New York, NY 10021 USA. [Brown, Powel H.] Baylor Coll Med, Dept Med, Houston, TX 77030 USA. [Brown, Powel H.] Baylor Coll Med, Dept Mol & Cellular Biol, Houston, TX 77030 USA. [Colburn, Nancy H.] NCI, Lab Canc Prevent, Frederick, MD 21701 USA. [Gerner, Eugene W.] Univ Arizona, Arizona Canc Ctr, Dept Cell Biol & Anat, Tucson, AZ USA. [Green, Jeffery E.] NCI, Canc Biol Lab, Bethesda, MD 20892 USA. [Nelson, William G.] Johns Hopkins Sch Med, Sidney Kimmel Comprehens Canc Ctr, Dept Oncol, Baltimore, MD USA. [Threadgill, David] Univ N Carolina, Dept Genet, Chapel Hill, NC USA. [Threadgill, David] Univ N Carolina, Lineberger Comprehens Canc Ctr, Chapel Hill, NC 27599 USA.
    1. Year: 2008
  2. Journal: Cancer Prevention Research
    1. 1
    2. 3
    3. Pages: 161-166
  4. Type of Article: Article
  1. Abstract:

    The past decade has witnessed the unveiling of a powerful new generation of genetically engineered mouse ( GEM) models of human cancer, which are proving to be highly effective for elucidating cancer mechanisms and interrogating novel experimental therapeutics. This new generation of GEM models are well suited for chemoprevention research, particularly for investigating progressive stages of carcinogenesis, identifying biomarkers for early detection and intervention, and preclinical assessment of novel agents or combinations of agents. Here we discuss opportunities and challenges for the application of GEM models in prevention research, as well as strategies to maximize their relevance for human cancer.

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External Sources

  1. PMID: 19138951

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