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On the efficiency of targeted clinical trials

A Maitournam1, R Simon

  • 1Biometric Research Branch, National Cancer Institute, Bethesda, MD 20892-7434, USA.

Statistics in Medicine
|November 20, 2004
PubMed

Insights

Designing clinical trials for targeted therapies requires careful consideration. Randomizing patients predicted to benefit from novel treatments can improve trial efficiency and reduce patient screening.

Area of Science:

  • Biomedical Science
  • Genomic Medicine
  • Clinical Trial Design

Background:

  • Common diseases are molecularly diverse, impacting targeted therapy effectiveness.
  • Molecularly targeted treatments benefit specific patient subsets.
  • Predictive assays identify patients likely to respond to targeted therapies.

Purpose of the Study:

  • To compare conventional randomized clinical trials with designs that randomize only predicted responders.
  • To evaluate trial efficiency based on patient numbers and screening requirements.

Main Methods:

  • Comparative analysis of two phase III randomized clinical trial designs.
  • Evaluating designs based on the number of randomized patients and screened patients.
  • Assessing the impact of treatment effect distribution, responder prevalence, and assay performance.

Main Results:

  • Randomizing only predicted responders can enhance trial efficiency.
  • The relative efficiency depends on several factors, including assay performance and patient subset prevalence.
  • Optimized designs balance patient randomization and screening efforts.

Conclusions:

  • Genomic technologies reveal disease heterogeneity, necessitating tailored clinical trial designs.
  • Targeted clinical trial designs using predictive assays can optimize resource allocation.
  • Future trials should consider adaptive designs that leverage predictive biomarkers for targeted therapies.

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