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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.
Abstract:
For oncology drug development, phase II proof-of-concept studies have played a key role in determining whether or not to advance to a confirmatory phase III trial. With the increasing number of immunotherapies, efficient design strategies are crucial in moving successful drugs quickly to market. Our research examines drug development decision making under the framework of maximizing resource investment, characterized by benefit cost ratios (BCRs). In general, benefit represents the likelihood that a drug is successful, and cost is characterized by the risk adjusted total sample size of the phases II and III studies. Phase III studies often include a futility interim analysis; this sequential component can also be incorporated into BCRs. Under this framework, multiple scenarios can be considered. For example, for a given drug and cancer indication, BCRs can yield insights into whether to use a randomized control trial or a single-arm study. Importantly, any uncertainty in historical control estimates that are used to benchmark single-arm studies can be explicitly incorporated into BCRs. More complex scenarios, such as restricted resources or multiple potential cancer indications, can also be examined. Overall, BCR analyses indicate that single-arm trials are favored for proof-of-concept trials when there is low uncertainty in historical control data and smaller phase III sample sizes. Otherwise, especially if the most likely to succeed tumor indication can be identified, randomized controlled trials may be a better option. While the findings are consistent with intuition, we provide a more objective approach.
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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