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Superoxide dismutase as a target for the selective killing of cancer cells

Author

Listed:
  • Peng Huang

    (Department of Experimental Therapeutics)

  • Li Feng

    (Department of Experimental Therapeutics)

  • Elizabeth A. Oldham

    (Department of Experimental Therapeutics)

  • Michael J. Keating

    (The University of Texas M. D. Anderson Cancer Center)

  • William Plunkett

    (Department of Experimental Therapeutics)

Abstract

Superoxide dismutases (SOD) are essential enzymes that eliminate superoxide radical (O2-) and thus protect cells from damage induced by free radicals1,2,3. The active O2- production and low SOD activity in cancer cells3,4,5,6,7 may render the malignant cells highly dependent on SOD for survival and sensitive to inhibition of SOD. Here we report that certain oestrogen derivatives selectively kill human leukaemia cells but not normal lymphocytes. Using complementary DNA microarray and biochemical approaches, we identify SOD as a target of this drug action and show that chemical modifications at the 2-carbon (2-OH, 2-OCH3) of the derivatives are essential for SOD inhibition and for apoptosis induction. Inhibition of SOD causes accumulation of cellular O2- and leads to free-radical-mediated damage to mitochondrial membranes, the release of cytochrome c from mitochondria and apoptosis of the cancer cells. Our results indicate that targeting SOD may be a promising approach to the selective killing of cancer cells, and that mechanism-based combinations of SOD inhibitors with free-radical-producing agents may have clinical applications.

Suggested Citation

  • Peng Huang & Li Feng & Elizabeth A. Oldham & Michael J. Keating & William Plunkett, 2000. "Superoxide dismutase as a target for the selective killing of cancer cells," Nature, Nature, vol. 407(6802), pages 390-395, September.
  • Handle: RePEc:nat:nature:v:407:y:2000:i:6802:d:10.1038_35030140
    DOI: 10.1038/35030140
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    Cited by:

    1. André Schultz & Amina A Qutub, 2016. "Reconstruction of Tissue-Specific Metabolic Networks Using CORDA," PLOS Computational Biology, Public Library of Science, vol. 12(3), pages 1-33, March.

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