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When toxic substances penetrate the human body, they disseminate to various tissues, undergoing metabolic changes. This process yields reactive metabolites that may covalently bind with specific target molecules, resulting in toxicity.
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How to report toxicity associated with targeted therapies?

B Cabarrou1, J M Boher2, E Bogart3

  • 1Department of Biostatistics, Institut Claudius Regaud, IUCT-O Toulouse, Toulouse.

Annals of Oncology : Official Journal of the European Society for Medical Oncology
|May 25, 2016
PubMed
Summary
This summary is machine-generated.

New methods, prevalence and Q-TWiST, better describe adverse event (AE) burden from molecularly targeted therapies (MTT). These approaches help physicians balance treatment risks and benefits for improved patient care.

Keywords:
Q-TWiSTprevalencetarget therapytoxicity analysisworst grade

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Area of Science:

  • Oncology
  • Clinical Pharmacology
  • Biostatistics

Background:

  • Personalized medicine utilizes molecularly targeted therapies (MTT) for cancer treatment.
  • Balancing tumor control with toxicity is crucial for long-term MTT administration.
  • Traditional adverse event (AE) reporting lacks detail on AE recurrence and duration.

Purpose of the Study:

  • To introduce and illustrate two novel methods for analyzing toxicity burden over time: prevalence and Q-TWiST.
  • To demonstrate the limitations of traditional AE assessment methods.

Main Methods:

  • Utilized data from a Phase II clinical trial and simulated data.
  • Applied prevalence to capture AE recurrence and time profiles.
  • Employed Q-TWiST to assess weighted time in health states and the risk-benefit ratio.

Main Results:

  • Prevalence provides a time-dependent profile of adverse events.
  • Q-TWiST quantifies the risk-benefit ratio by considering time spent in different health states.
  • Both methods offer a more comprehensive understanding of toxicity compared to traditional frequency and intensity reporting.

Conclusions:

  • Prevalence and Q-TWiST offer valuable insights into the toxicity of MTT.
  • These methods aid physicians in treatment selection, patient counseling, and supportive care optimization.
  • Adoption of these statistical methods is encouraged for consistent and informative AE analysis in MTT.