Oncology phase II proof-of-concept studies with multiple targets: Randomized controlled trial or single arm?

Thomas Jemielita1, Archie Tse2, Cong Chen1

  • 1Biostatistics and Research Decision Sciences, Merck & Co., Inc., Kenilworth, New Jersey, USA.

Insights

Benefit cost ratio (BCR) analyses optimize oncology drug development decisions. Single-arm trials are favored for early proof-of-concept studies with low historical control uncertainty and smaller phase III trials.

Area of Science:

  • Oncology
  • Clinical Trial Design
  • Biostatistics

Background:

  • Phase II proof-of-concept studies are critical in oncology drug development.
  • Efficient trial designs are essential for advancing immunotherapies.
  • Maximizing resource investment is key for successful drug development.

Purpose of the Study:

  • To examine drug development decision-making using benefit cost ratios (BCRs).
  • To provide an objective framework for optimizing clinical trial designs.
  • To evaluate BCRs for different trial designs and scenarios.

Main Methods:

  • Developed a framework based on benefit cost ratios (BCRs).
  • Incorporated risk-adjusted sample sizes for phase II and III studies.
  • Included futility interim analyses and uncertainty in historical controls into BCRs.

Main Results:

  • BCR analyses suggest single-arm trials are optimal for proof-of-concept when historical control uncertainty is low and phase III sample sizes are small.
  • Randomized controlled trials may be preferable when the most promising tumor indication can be identified.
  • BCR framework allows for examination of complex scenarios like restricted resources or multiple indications.

Conclusions:

  • BCR analyses offer an objective approach to oncology drug development decision-making.
  • Trial design choices (single-arm vs. randomized) depend on control data certainty and resource allocation.
  • Optimizing BCRs can accelerate the delivery of successful oncology drugs to patients.

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