Functional polymorphisms in xenobiotic metabolizing enzymes and their impact on the therapy of breast cancer
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Updated: May 14, 2026

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Published on: May 10, 2024
Rosane Vianna-Jorge1, Juliana Simões Festa-Vasconcellos, Sheyla Maria Torres Goulart-Citrangulo
1Programa de Farmacologia, Coordenação de Pesquisa, Instituto Nacional do Câncer Rio de Janeiro, Brazil ; Instituto de Ciências Biomédicas, Universidade Federal do Rio de Janeiro Rio de Janeiro, Brazil.
Abstract:
Breast cancer is the top cancer among women, and its incidence is increasing worldwide. Although the mortality tends to decrease due to early detection and treatment, there is great variability in the rates of clinical response and survival, which makes breast cancer one of the most appealing targets for pharmacogenomic studies. The recognition that functional CYP2D6 polymorphisms affect tamoxifen pharmacokinetics has motivated the attempts of using CYP2D6 genotyping for predicting breast cancer outcomes. In addition to tamoxifen, the chemotherapy of breast cancer includes combinations of cytotoxic drugs, which are substrates for various xenobiotic metabolizing enzymes. Because of these drugs' narrow therapeutic window, it has been postulated that impaired biotransformation could lead to increased toxicity. In the present review, we performed a systematic search of all published data exploring associations between polymorphisms in xenobiotic metabolizing enzymes and clinical outcomes of breast cancer. We retrieved 43 original articles involving either tamoxifen or other chemotherapeutic protocols, and compiled all information regarding response or toxicity. The data indicate that, although CYP2D6 polymorphisms can indeed modify tamoxifen pharmacokinetics, CYP2D6 genotyping alone is not enough for predicting breast cancer outcomes. The studies involving other chemotherapeutic protocols explored a great diversity of pharmacogenetic targets, but the number of studies for each functional polymorphism is still very limited, with usually no confirmation of positive associations. In conclusion, the application of pharmacogenetics to predict breast cancer outcomes and to select one individual's chemotherapeutic protocol is still far from clinical routine. Although some very interesting results have been produced, no clear practical recommendations are recognized yet.
Insights
Pharmacogenetic testing, like CYP2D6 genotyping, shows promise but isn't yet reliable for predicting breast cancer patient outcomes or guiding chemotherapy. More research is needed for clinical application.
Area of Science:
- Oncology
- Pharmacogenomics
- Genetics
Background:
- Breast cancer incidence is rising globally, with significant variability in patient response to treatment.
- Pharmacogenomic studies are crucial for understanding individual differences in drug metabolism and treatment efficacy.
- Cytochrome P450 family 2 subfamily D member 6 (CYP2D6) polymorphisms influence tamoxifen pharmacokinetics, prompting investigation into their predictive value.
Purpose of the Study:
- To systematically review existing literature on the association between xenobiotic metabolizing enzyme polymorphisms and breast cancer clinical outcomes.
- To evaluate the utility of CYP2D6 genotyping and other pharmacogenetic markers in predicting treatment response and toxicity.
Main Methods:
- A systematic literature search was conducted to identify original articles examining polymorphisms in xenobiotic metabolizing enzymes and their relation to breast cancer outcomes.
- Data from 43 retrieved articles focusing on tamoxifen or other chemotherapy regimens were compiled and analyzed for response and toxicity associations.
Main Results:
- CYP2D6 polymorphisms affect tamoxifen pharmacokinetics, but CYP2D6 genotyping alone is insufficient for predicting breast cancer outcomes.
- Studies on other chemotherapeutic agents explored various pharmacogenetic targets, but limited sample sizes and lack of consistent positive associations were observed.
- The predictive value of most xenobiotic metabolizing enzyme polymorphisms for breast cancer treatment response and toxicity remains unconfirmed.
Conclusions:
- Pharmacogenetics holds potential for personalizing breast cancer treatment, but current applications are limited.
- CYP2D6 genotyping is not a standalone predictor of breast cancer outcomes.
- Further research with larger cohorts is required to establish clear clinical recommendations for pharmacogenetic-guided breast cancer therapy.
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Factors Affecting Drug Biotransformation: Biological
Species differences: Variations in enzyme systems across species can cause disparities in drug metabolism. For instance, humans may metabolize certain drugs faster than rodents, altering therapeutic effects.
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