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Published on: July 25, 2020
Seamless Phase I/II Adaptive Design for Oncology Trials of Molecularly Targeted Agents
Nolan A Wages1, Christopher Tait
1a Division of Translational Research & Applied Statistics, Department of Public Health Sciences , University of Virginia , Charlottesville , Virginia , USA.
Abstract:
In dose-finding trials of chemotherapeutic agents, the goal of identifying the maximum tolerated dose is usually determined by considering information on toxicity only, with the assumption that the highest safe dose also provides the most promising outlook for efficacy. Trials of molecularly targeted agents challenge accepted dose-finding methods because minimal toxicity may arise over all doses under consideration and higher doses may not result in greater response. In this article, we propose a new early-phase method for trials investigating targeted agents. We provide simulation results illustrating the operating characteristics of our design.
Insights
New dose-finding methods are needed for targeted cancer agents. This study proposes a novel early-phase trial design that considers both efficacy and toxicity, moving beyond traditional maximum tolerated dose approaches.
Area of Science:
- Oncology
- Clinical Trial Design
- Pharmacology
Background:
- Traditional dose-finding trials for chemotherapy focus solely on toxicity to determine the maximum tolerated dose (MTD).
- This MTD assumption, that the highest safe dose is most effective, is often invalid for molecularly targeted agents.
- Targeted agents may exhibit minimal toxicity across doses and dose-response relationships for efficacy can be non-linear.
Purpose of the Study:
- To propose a novel dose-finding methodology for early-phase clinical trials of molecularly targeted agents.
- To address the limitations of traditional MTD-based designs in the context of targeted therapies.
- To provide a flexible and effective approach for identifying optimal doses for novel targeted drugs.
Main Methods:
- Development of a new statistical model for early-phase dose-finding studies.
- Simulation-based evaluation of the proposed design's operating characteristics.
- Comparison with traditional dose-finding methods under various scenarios relevant to targeted agents.
Main Results:
- The proposed method demonstrates favorable operating characteristics in simulations.
- The design effectively navigates scenarios with low toxicity and non-linear dose-efficacy relationships.
- Simulation results illustrate the practical application and performance of the novel approach.
Conclusions:
- The proposed dose-finding method offers a viable alternative to traditional approaches for targeted agents.
- This new design enhances the ability to identify doses with optimal efficacy and acceptable toxicity.
- Further investigation and application in clinical settings are warranted to validate the proposed methodology.
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