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Published on: September 20, 2019
Tailoring early-phase clinical trial design to address multiple research objectives
Nolan A Wages1, Craig L Slingluff2, Timothy N Bullock3
1Division of Translational Research and Applied Statistics, Department of Public Health Sciences, University of Virginia, P.O. Box 800717, Charlottesville, VA, USA. nwages@virginia.edu.
This study introduces an adaptive design for early-phase oncology trials, optimizing cancer immunotherapy regimens by evaluating multiple endpoints and drug combinations for improved efficacy and reduced toxicity.
Area of Science:
- Oncology
- Immunotherapy
- Clinical Trial Design
Background:
- Novel early-phase trial designs are crucial for refining cancer drug regimens.
- There is a need for adaptive strategies to manage multiple research objectives efficiently.
- Current oncology drug development requires innovative approaches for combination therapies.
Purpose of the Study:
- To describe a model-based adaptive design strategy for early-phase oncology trials.
- To identify optimal immunotherapy regimens using multiple endpoints and cohorts.
- To facilitate the acceptance of novel designs in early drug development.
Main Methods:
- Developed a model-based adaptive design for a multi-cohort trial.
- Evaluated safety and immunogenicity of cancer vaccines combined with CD40 and CD27 antibodies.
- Assessed immune response compared to optimal controls in melanoma patients.
Main Results:
- The proposed adaptive design is practical for combined immunotherapy regimens.
- The design addresses multiple objectives within multiple cohorts.
- The strategy aids in selecting optimal regimens for further development.
Conclusions:
- Adaptive designs are essential for advancing cancer immunotherapy.
- Incorporating multiple endpoints and combination therapies can improve efficacy and reduce toxicity.
- Novel trial designs are key to future oncology drug development success.
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