Allelic expression of phase II metabolizing enzymes and relationship to irinotecan toxicity

Marsha Tadje1

  • 1College of Nursing, University of Utah in Salt Lake City.

Insights

Single nucleotide polymorphisms (SNPs) in genes affect drug response and toxicity. This study explores how SNPs in phase II metabolizing enzymes influence irinotecan-induced toxicity, impacting patient treatment outcomes.

Area of Science:

  • Pharmacogenomics
  • Genetics
  • Drug Metabolism

Background:

  • Adverse drug responses affect approximately 15% of approved drugs, leading to variable patient outcomes.
  • Genetic variations, particularly single nucleotide polymorphisms (SNPs), in genes encoding drug targets, metabolizing enzymes, or transporters often explain these variable responses and toxicity risks.
  • Pharmacogenomics, encompassing the study of interactions within the entire gene complement, provides a framework for understanding these genetic influences on drug efficacy and safety.

Purpose of the Study:

  • To investigate the influence of single nucleotide polymorphisms (SNPs) in phase II metabolizing enzymes on irinotecan-induced toxicity.
  • To highlight the role of pharmacogenomics in predicting and managing adverse drug reactions.

Main Methods:

  • Review of literature on pharmacogenomics and drug metabolism.
  • Analysis of the impact of SNPs in genes encoding phase II metabolizing enzymes.
  • Focus on irinotecan as a case study for drug-induced toxicity.

Main Results:

  • SNPs in phase II metabolizing enzymes can significantly alter drug disposition and metabolic pathways.
  • These genetic variations can lead to increased or decreased drug efficacy and heightened risk of toxicity.
  • Specific SNPs in phase II enzymes are implicated in the variable toxicity profiles observed with irinotecan treatment.

Conclusions:

  • Genetic variations, specifically SNPs in phase II metabolizing enzymes, play a crucial role in irinotecan-induced toxicity.
  • Pharmacogenomic approaches are essential for personalizing drug therapy and minimizing adverse events.
  • Understanding these genetic factors can guide clinical decision-making for improved patient safety and treatment effectiveness.

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