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Pharmacokinetic Principles for Dose‐Rate Extrapolation of Carcinogenic Risk from Genetically Active Agents

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  • Dale Hattis

Abstract

Neither experimental animal exposures nor real‐life human exposures are delivered at a constant level over a full lifetime. Although there are strong theoretical reasons why all pharmacokinetic processes must “go linear” at the limit of low dose rates, fluctuations in dose rate may produce nonlinearities that either increase or decrease actual risks relative to what would be expected for constant lifetime exposure. This paper discusses quantitative theory and specific examples for a number of processes that can be expected to give rise to pharmacokinetic nonlinearities at high dose rates–including transport processes (e.g., renal tubular secretion), activating and detoxifying metabolism, DNA repair, and enhancement of cell replication following gross toxicity in target tissues. At the extreme, full saturation of a detoxification or DNA repair process has the potential to create as much as a dose2 dependence of risk on dose delivered in a single burst, and if more than one detoxification step becomes fully saturated, this can be compounded. Effects via changes in cell replication rates, which appear likely to be largely responsible for the steep upward turning curve of formaldehyde carcinogenesis in rats, can be even more profound over a relatively narrow range of dosage. General suggestions are made for experimental methods to detect nonlinearities arising from the various sources in premarket screening programs.

Suggested Citation

  • Dale Hattis, 1990. "Pharmacokinetic Principles for Dose‐Rate Extrapolation of Carcinogenic Risk from Genetically Active Agents," Risk Analysis, John Wiley & Sons, vol. 10(2), pages 303-316, June.
  • Handle: RePEc:wly:riskan:v:10:y:1990:i:2:p:303-316
    DOI: 10.1111/j.1539-6924.1990.tb01051.x
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    Cited by:

    1. Gary L. Ginsberg & William E. Pepelko & Robert L. Goble & Dale B. Hattis, 1996. "Comparison of Contact Site Cancer Potency Across Dose Routes: Case Study with Epichlorohydrin," Risk Analysis, John Wiley & Sons, vol. 16(5), pages 667-681, October.
    2. Dale Hattis & Robert L. Goble, 1991. "Expected Values for Projected Cancer Risks from Putative Genetically Acting Agents," Risk Analysis, John Wiley & Sons, vol. 11(3), pages 359-363, September.
    3. Dale Hattis & David E. Burmaster, 1994. "Assessment of Variability and Uncertainty Distributions for Practical Risk Analyses," Risk Analysis, John Wiley & Sons, vol. 14(5), pages 713-730, October.

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