Publication related to RSI or an RSI staff member

Physiological pharmacokinetics and cancer risk assessment.

There has been considerable progress in recent years in developing physiological models for the pharmacokinetics of toxic chemicals and in the application of these models in cancer risk assessment. Physiological pharmacokinetic models consist of a number of individual compartments, based on the anatomy and physiology of the mammalian organism of interest, and include specific parameters for metabolism, tissue binding, and tissue reactivity. Because of the correspondence between these compartments and specific tissues or groups of tissues, these models are particularly useful for predicting the doses of biologically active forms of toxic chemicals at target tissues under a wide variety of exposure conditions and in different animal species, including humans. Due to their explicit characterization of the biological processes governing pharmacokinetic behaviour, these models permit more accurate predictions of the dose of active metabolites reaching target tissues in exposed humans and hence of potential cancer risk. In addition, physiological models also permit a more direct evaluation of the impact of parameter uncertainty and inter-individual variability in cancer risk assessment. In this article, we review recent developments in physiologic pharmacokinetic modeling for selected chemicals and the application of these models in carcinogenic risk assessment. We examine the use of these models in integrating diverse information on pharmacokinetics and pharmacodynamics and discuss challenges in extending these pharmacokinetic models to reflect more accurately the biological events involved in the induction of cancer by different chemicals.

Authors

  • Andersen, M E, Andersen ME, Duke University Medical Center, Durham, NC 27710.

  • Krewski, D, Krewski D,

  • Withey, J R, Withey JR,

YEAR OF PUBLICATION: 1993
SOURCE: Cancer Lett. 1993 Apr 15;69(1):1-14. doi: 10.1016/0304-3835(93)90025-5.
JOURNAL TITLE ABBREVIATION: Cancer Lett
JOURNAL TITLE: Cancer letters
ISSN: 0304-3835 (Print) 0304-3835 (Linking)
VOLUME: 69
ISSUE: 1
PAGES: 1-14
PLACE OF PUBLICATION: Ireland
ABSTRACT:
There has been considerable progress in recent years in developing physiological models for the pharmacokinetics of toxic chemicals and in the application of these models in cancer risk assessment. Physiological pharmacokinetic models consist of a number of individual compartments, based on the anatomy and physiology of the mammalian organism of interest, and include specific parameters for metabolism, tissue binding, and tissue reactivity. Because of the correspondence between these compartments and specific tissues or groups of tissues, these models are particularly useful for predicting the doses of biologically active forms of toxic chemicals at target tissues under a wide variety of exposure conditions and in different animal species, including humans. Due to their explicit characterization of the biological processes governing pharmacokinetic behaviour, these models permit more accurate predictions of the dose of active metabolites reaching target tissues in exposed humans and hence of potential cancer risk. In addition, physiological models also permit a more direct evaluation of the impact of parameter uncertainty and inter-individual variability in cancer risk assessment. In this article, we review recent developments in physiologic pharmacokinetic modeling for selected chemicals and the application of these models in carcinogenic risk assessment. We examine the use of these models in integrating diverse information on pharmacokinetics and pharmacodynamics and discuss challenges in extending these pharmacokinetic models to reflect more accurately the biological events involved in the induction of cancer by different chemicals.
LANGUAGE: eng
DATE OF PUBLICATION: 1993 Apr 15
DATE COMPLETED: 19930603
DATE REVISED: 20190720
MESH DATE: 1993/04/15 00:01
EDAT: 1993/04/15 00:00
STATUS: MEDLINE
PUBLICATION STATUS: ppublish
OWNER: NLM

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Daniel Krewski

Chief Risk Scientist

Dr. Daniel Krewski is Chief Risk Scientist and co-founder of Risk Sciences International (RSI), a firm established in 2006 to bring evidence-based, multidisciplinary expertise to the challenge of understanding, managing, and communicating risk. As RSI’s inaugural CEO and long-time scientific...
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