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A gene expression database for the molecular pharmacology of cancer

  1. Author:
    Scherf, U.
    Ross, D. T.
    Waltham, M.
    Smith, L. H.
    Lee, J. K.
    Tanabe, L.
    Kohn, K. W.
    Reinhold, W. C.
    Myers, T. G.
    Andrews, D. T.
    Scudiero, D. A.
    Eisen, M. B.
    Sausville, E. A.
    Pommier, Y.
    Botstein, D.
    Brown, P. O.
    Weinstein, J. N.

  2. Author Address

    Weinstein JN NCI, Mol Pharmacol Lab, Div Basic Sci, NIH Bldg 37-5D-02 Bethesda, MD 20892 USA NCI, Mol Pharmacol Lab, Div Basic Sci, NIH Bethesda, MD 20892 USA Stanford Univ, Sch Med, Dept Biochem Stanford, CA 94305 USA Stanford Univ, Sch Med, Dept Genet Stanford, CA 94305 USA NCI, Informat Technol Branch,Dev Therapeut Program, Div Canc Treatment & Diagnosis, NIH Bethesda, MD 20892 USA NCI, SAIC, Frederick Canc Res & Dev Ctr Frederick, MD 21701 USA NCI, Off Associate Director, DTP,DCTD, NIH Bethesda, MD 20892 USA Stanford Univ, Sch Med, Howard Hughes Med Inst Stanford, CA 94305 USA
    1. Year: 2000
  2. Journal: Nature Genetics
    1. 24
    2. 3
    3. Pages: 236-244
  4. Type of Article: Article
  1. Abstract:

    We used cDNA microarrays to assess gene expression profiles in 60 human cancer cell lines used in a drug discovery screen by the National Cancer Institute. Using these data, we linked bioinformatics and chemoinformatics by correlating gene expression and drug activity patterns in the NCI60 lines. Clustering the cell lines on the basis of gene expression yielded relationships very different from those obtained by clustering the cell lines on the basis of their response to drugs. Gene-drug relationships for the clinical agents 5-fluorouracil and L-asparaginase exemplify how variations in the transcript levels of particular genes relate to mechanisms of drug sensitivity and resistance. This is the first study to integrate large databases on gene expression and molecular pharmacology. [References: 46]

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