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Drug metabolism polymorphisms as modulators of cancer susceptibility

M Taningher1, D Malacarne, A Izzotti

  • 1National Cancer Institute (IST)/Department of Oncology, Biology and Genetics, University of Genoa, Largo R. Benzi No. 10, I-16132, Genoa, Italy.

Mutation Research
|June 4, 1999
PubMed

Insights

Genetic variations in drug-metabolizing enzymes influence cancer risk, especially with environmental exposures. Analyzing these polymorphisms helps identify individuals susceptible to specific cancers and adverse drug reactions.

Area of Science:

  • Pharmacogenomics and Molecular Epidemiology
  • Cancer Susceptibility Research
  • Biomarker Discovery

Background:

  • Polymorphisms in drug-metabolizing enzymes affect xenobiotic activation and detoxification.
  • Genetic variants in enzymes like P450s, GSTs, and NATs are linked to environmentally induced cancer risk.
  • While rare gene alterations pose high individual risk, common enzyme polymorphisms create population-level cancer risk increases.

Purpose of the Study:

  • To review and synthesize current knowledge on the relationship between human xenobiotic-metabolizing enzyme polymorphisms and cancer susceptibility.
  • To explore models of cancer susceptibility influenced by the balance of enzyme activities.
  • To evaluate the utility of molecular genetic analysis for identifying individuals at cancer risk.

Main Methods:

  • Literature review of studies investigating metabolic polymorphisms and cancer risk.
  • Analysis of established models linking enzyme polymorphisms to various cancer types.
  • Assessment of molecular genetic techniques for detecting cancer risk and phenotypic expression.

Main Results:

  • Identified complex models of cancer susceptibility influenced by the interplay of multiple enzyme activities.
  • Highlighted the role of common genetic polymorphisms in drug metabolism enzymes in population cancer risk.
  • Demonstrated that molecular genetic analysis offers improved detection of individuals at risk compared to phenotypic methods.

Conclusions:

  • Genetic polymorphism analysis is valuable for identifying individuals prone to specific cancers or adverse drug effects.
  • Systematic screening for cancer risk is most effective when targeting well-defined exposures and analyzing coordinated enzyme activities.
  • Metabolism polymorphisms present a double-edged sword, necessitating individualized risk monitoring based on carcinogen exposure and target organ.

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