CYP3A genetic variation and taxane-induced peripheral neuropathy: a systematic review, meta-analysis, and candidate

Laurence McEvoy1, Joanne Cliff2, Daniel F Carr1

  • 1Department of Pharmacology and Therapeutics, University of Liverpool, Liverpool, United Kingdom.

PubMed

Insights

Diabetes increases the risk of taxane-induced peripheral neuropathy (TIPN), a common chemotherapy side effect. Genetic variations in CYP3A enzymes were not found to be significant risk factors for TIPN in this study.

Area of Science:

  • Pharmacogenetics
  • Oncology
  • Neuroscience

Background:

  • Taxane-induced peripheral neuropathy (TIPN) significantly impacts cancer treatment efficacy and patient quality of life.
  • Existing research on genetic polymorphisms in the CYP3A family and their association with TIPN has yielded inconsistent results.

Purpose of the Study:

  • To systematically review and meta-analyze the association between CYP3A4*22 and CYP3A5*3 genetic variations and TIPN.
  • To investigate the relationship between CYP3A4*22, CYP3A5*3 genotypes/phenotypes and TIPN in a candidate gene study.

Main Methods:

  • A systematic review identified 12 pharmacogenetic studies on CYP3A4*22, CYP3A5*3, and TIPN.
  • A candidate gene study genotyped 288 participants for CYP3A4*22 and CYP3A5*3, assessing metaboliser phenotypes.
  • Meta-analysis was performed where possible to evaluate genotype and phenotype associations with neurotoxicity.

Main Results:

  • Systematic review found no consistent association for CYP3A5*3 and limited evidence for CYP3A4*22 with TIPN.
  • Paclitaxel was more neurotoxic than docetaxel; diabetes was significantly associated with TIPN development.
  • Candidate gene analysis and meta-analysis showed no significant association between CYP3A variants/phenotypes and TIPN.

Conclusions:

  • Diabetes is a significant risk factor for developing peripheral neuropathy during taxane chemotherapy.
  • CYP3A genotype and metaboliser phenotype do not appear to be major risk factors for TIPN, though a minor contribution cannot be excluded without larger sample sizes.

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