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Polymorphisms of metabolizing enzymes and transporter proteins involved in the clearance of anticancer agents

I Sekine1, N Saijo

  • 1Internal Medicine & Thoracic Oncology Division, National Cancer Center Hospital, Tokyo, Japan. isekine@gan2.ncc.go.jp

Annals of Oncology : Official Journal of the European Society for Medical Oncology
|February 2, 2002
PubMed
Abstract

Insights

Genetic variations in drug-metabolizing enzymes and transporters significantly impact anticancer drug efficacy and toxicity. Understanding these genetic differences is crucial for personalized cancer treatment to prevent adverse reactions.

Area of Science:

  • Pharmacogenomics
  • Oncology
  • Drug Metabolism

Background:

  • Anticancer agent efficacy and toxicity vary significantly among patients.
  • Genetic polymorphisms in drug-metabolizing enzymes and transporters are key determinants of this variability.
  • These genetic factors influence drug metabolism, pharmacokinetics, and overall treatment outcomes.

Purpose of the Study:

  • To review the literature on drug-metabolizing enzymes and membrane transporters.
  • To explore their physiological functions, genetic polymorphisms, and roles in anticancer drug metabolism and toxicity.
  • To understand the clinical significance of genetic backgrounds in drug actions.

Main Methods:

  • Literature review of drug-metabolizing enzymes and membrane transporters.
  • Analysis of genetic and functional polymorphisms.
  • Examination of involvement in anticancer agent metabolism, pharmacokinetics, and toxicity.

Main Results:

  • Nine key enzymes (e.g., CYP450, GST) involved in anticancer drug metabolism exhibit genetic polymorphisms.
  • Polymorphisms can lead to reduced enzyme activity, causing metabolic disorders and severe toxicity in cancer patients.
  • Transporter proteins play critical roles in anticancer agent clearance, but their genetic links to clinical outcomes are not well-understood.

Conclusions:

  • Individualized dosing and selection of anticancer agents are necessary.
  • Tailoring treatment based on metabolic variations can help avoid adverse reactions and therapeutic failure.
  • Further research into pharmacogenomics is essential for optimizing cancer therapy.

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