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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.
Abstract:
Recently, several molecular genetic bases of polymorphic enzyme activities involved in drug activation and detoxification have been elucidated. Many molecular epidemiology studies based on these premises have sought to gather information on the association of genetically determined metabolic variants with different risks of environmentally induced cancer. While rare alterations of tumor suppressor genes dramatically raise cancer risk for the single affected subjects, far more common and less dramatic differences in genes encoding for drug metabolism enzymes can be responsible for a relatively small, but rather frequent increase of cancer risk at the population level. This increase could be especially important in specific cases of occupational, pharmacological or environmental exposure. Examination of the current literature reveals that the most extensively investigated metabolic polymorphisms are those of P450 1A1 and P450 2D6 cytochromes, glutathione S-transferases (GSTs; M1 and, to a lesser extent, M3, P1 and T1) and N-acetyltransferases (NATs; NAT1 and NAT2). Making reference to these enzymes, we have assayed the current knowledge on the relations among polymorphisms of human xenobiotic-metabolizing enzymes and cancer susceptibilities. We have found intriguing models of susceptibility toward different types of cancer. We have reviewed and commented these models on light of the complex balance among different enzyme activities that, in each individual, determines the degree of each cancer susceptibility. Moreover, we have found techniques of molecular genetic analysis, more suitable than previous ones on phenotypic expression, now allowing better means to detect individuals at risk of cancer. According to the models presently available, a systematic screening of individuals at risk seems to make sense only in situations of well defined carcinogenic exposures and when performed by the polymorphism analysis of coordinated enzyme activities concurring to the metabolism of the carcinogen(s) in question. Genetic polymorphism analysis can allow for the detection of patients more prone to some types of specific cancers, or to the adverse effects of specific pharmaceutical agents. Considering the increasingly confirmed double-edged sword nature of metabolism polymorphism (both wild-type and variant alleles can predispose to cancer, albeit in different situations of exposure), individual susceptibility to cancer should be monitored as a function of the nature, and mechanism of action, of the carcinogen(s) to which the individual under study is known to be exposed, and with reference to the main target organ of the considered type of exposure.
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.