Genetic determinants of cancer drug efficacy and toxicity: practical considerations and perspectives

Myrna Candelaria1, Lucia Taja-Chayeb, Claudia Arce-Salinas

  • 1Division of Clinical Research, Instituto Nacional de Cancerología, UNAM, Tlalpan, Mexico. myrnac@prodigy.net.mx

Anti-Cancer Drugs
|September 16, 2005
PubMed

Insights

Genetic variations in drug-metabolizing enzymes impact treatment outcomes. Pre-screening patients for specific polymorphisms can personalize chemotherapy, improving drug efficacy and reducing severe toxicity risks.

Area of Science:

  • Pharmacogenomics
  • Clinical Pharmacology
  • Molecular Biology

Background:

  • Drug-metabolizing enzymes (DMEs) are crucial for activating or detoxifying cytotoxic drugs.
  • Allelic variants of DMEs occur with varying frequencies globally, influencing drug efficacy and toxicity.
  • Polymorphisms in DMEs like TPMT, DPD, UGT1A1, and TYMS are linked to altered drug metabolism and severe adverse events.

Purpose of the Study:

  • To review the impact of genetic polymorphisms in key drug-metabolizing enzymes on the therapeutic index of cytotoxic drugs.
  • To highlight the clinical utility of pharmacogenetic screening for optimizing cancer chemotherapy.

Main Methods:

  • Review of existing literature on drug-metabolizing enzyme polymorphisms and their clinical implications.
  • Analysis of specific examples including TPMT, DPD, UGT1A1, and TYMS polymorphisms.
  • Discussion of genotype-guided drug selection and dosing strategies.

Main Results:

  • Thiopurine methyltransferase (TPMT) and dihydropyrimidine dehydrogenase (DPD) polymorphisms correlate with altered metabolism and toxicity of 6-mercaptopurine and 5-fluorouracil.
  • UGT1A1 promoter variants affect SN-38 glucuronidation, leading to irinotecan toxicity (diarrhea, neutropenia).
  • Thymidylate synthase (TYMS) polymorphisms are associated with both pyrimidine-related toxicity and chemotherapy response.

Conclusions:

  • Pharmacogenetic testing for well-characterized polymorphisms is valuable for identifying optimal and safe chemotherapy regimens.
  • Pre-screening patients can personalize treatment, enhancing therapeutic outcomes and minimizing severe drug toxicities.
  • Genomic approaches offer a promising strategy for tailoring cancer therapy to individual patient profiles.

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