Escalation with overdose control for phase I drug-combination trials
1Department of Statistics and Actuarial Science, The University of Hong Kong, Pokfulam Road, Hong Kong.
Statistics in Medicine
|May 1, 2013
Summary
This study introduces a novel two-dimensional escalation with overdose control (EWOC) design for finding optimal doses of combined cancer drugs. This method enhances safety by controlling overdose probability during early-phase clinical trials.
Area of Science:
- Oncology Drug Development
- Clinical Trial Design
- Biostatistics
Background:
- Dose finding for combination therapies is crucial in oncology.
- The escalation with overdose control (EWOC) method is established for single-agent trials.
- Existing methods lack specific designs for two-drug combination dose finding.
Purpose of the Study:
- To propose a novel two-dimensional EWOC design for dose finding in two-drug combination oncology trials.
- To adapt the EWOC method for simultaneous dose assessment of two agents.
- To enhance patient safety by controlling the probability of exceeding the maximum tolerated dose (MTD).
Main Methods:
- Developed a two-dimensional EWOC design based on a four-parameter logistic regression model.
- Continuously updated the posterior distribution of the MTD combination.
- Utilized a feasibility bound based on MTD distribution quantiles to control overdose risk.
- Determined dose adjustments (escalation/de-escalation) within a two-drug combination matrix.
Main Results:
- Simulation studies demonstrated the effectiveness of the two-dimensional EWOC design under various scenarios.
- The proposed design successfully identified appropriate dose combinations.
- The feasibility bound effectively reduced the likelihood of assigning doses exceeding the MTD.
Conclusions:
- The two-dimensional EWOC design is a viable and safe model-based approach for dose finding in two-drug combination oncology trials.
- This method provides a structured framework for navigating complex dose-finding landscapes in combination therapy development.
- Further application and validation in real clinical trial settings are warranted.
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