Functional polymorphisms in xenobiotic metabolizing enzymes and their impact on the therapy of breast cancer

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.

Frontiers in Genetics
|January 25, 2013
PubMed

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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