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Published on: March 11, 2021
Dose expansion cohorts in Phase I trials
Alexia Iasonos1, John O'Quigley2
1Department of Biostatistics, Memorial Sloan Kettering Cancer Center, New York, USA.
This study introduces methods to re-evaluate the maximum tolerated dose (MTD) using data from dose expansion cohorts (DEC) in early-phase cancer trials. This approach refines MTD estimates by monitoring safety and efficacy near the initial MTD.
Area of Science:
- Clinical Trials Methodology
- Pharmacometrics
- Oncology Drug Development
Background:
- Phase I clinical trials increasingly use dose expansion cohorts (DEC) to better define toxicity and study specific patient groups.
- Standard 3+3 designs often lack clear protocols for updating the maximum tolerated dose (MTD) with DEC data.
- DEC provide valuable safety and efficacy information beyond the initial dose-escalation phase.
Purpose of the Study:
- To propose and evaluate methods for re-evaluating the MTD using data from DEC.
- To refine MTD estimation by incorporating new safety and efficacy data collected during the expansion phase.
- To provide a framework for monitoring safety and efficacy in DEC, particularly around the estimated MTD.
Main Methods:
- Developing methods to continuously monitor safety and re-estimate the MTD within the DEC.
- Utilizing auxiliary data, including toxicity, pharmacokinetics, and efficacy, to refine MTD estimates.
- Comparing proposed methods through simulations, focusing on efficacy alone or combined with safety endpoints.
Main Results:
- The proposed methods allow for the refinement of MTD estimates by leveraging data from DEC.
- Continuous monitoring enables adaptive adjustments to the MTD based on accumulating evidence.
- Simulation results demonstrate the utility of the proposed approaches for evaluating efficacy and safety in DEC.
Conclusions:
- Re-evaluating the MTD using DEC data enhances the precision of dose selection in early-phase oncology trials.
- The proposed methods offer a structured way to integrate DEC findings into MTD determination.
- This adaptive approach improves the characterization of experimental agents' safety and efficacy profiles.
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