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Related Experiment Videos

Changes in neurologic function tests may predict neurotoxicity caused by ixabepilone.

James J Lee1, Jennifer A Low, Earllaine Croarkin

  • 1Cancer Therapeutics Branch, Medical Oncology Clinical Research Unit, and Biostatistics and Data Management Section, Center for Cancer Research, Cancer Therapy Evaluation Program, National Institutes of Health, Bethesda, MD 20889-5015, USA.

Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology
|May 2, 2006
PubMed
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Peripheral neuropathy (PN) after ixabepilone treatment was uncommon. Neurologic function tests (NFTs), including the Jebsen Test of Hand Function (JTH) and Grooved Pegboard Test (GPT), may help predict PN development.

Area of Science:

  • Oncology
  • Neurology
  • Pharmacology

Background:

  • Ixabepilone is an epothilone agent used for antitumor therapy.
  • Peripheral neuropathy (PN) is a potential side effect of ixabepilone treatment.
  • Predicting PN is crucial for patient management.

Purpose of the Study:

  • To identify baseline factors and neurologic function tests (NFTs) that predict the development of grade 2 or higher PN.
  • To evaluate the predictive utility of the Jebsen Test of Hand Function (JTH) and Grooved Pegboard Test (GPT) for ixabepilone-induced PN.

Main Methods:

  • A phase II clinical trial treated advanced breast cancer patients with ixabepilone.
  • Patients underwent physical examinations, questionnaires, nerve conduction studies, and NFTs (JTH, GPT) at baseline and during treatment.

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  • Data were analyzed to identify predictors of PN development.

    • Main Results:

    • Nine patients developed grade 2 PN and two developed grade 3 PN.
    • GPT and JTH score changes at PN onset differed significantly between patients with and without PN.
    • Changes in GPT and JTH scores during early cycles were associated with PN development.

    Conclusions:

    • Ixabepilone-induced neuropathy was relatively rare with the tested schedule.
    • NFTs like JTH and GPT show potential for predicting PN.
    • Further research is needed to confirm the predictive value of these NFTs.