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Published on: May 10, 2016
uTPI: A utility-based toxicity probability interval design for phase I/II dose-finding trials.
Haolun Shi1, Jiguo Cao1, Ying Yuan2
1Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, British Columbia, Canada.
The utility-based toxicity probability interval (uTPI) design optimizes clinical trial dosing by balancing efficacy and toxicity. This novel approach simplifies dose selection for targeted agents and immunotherapies, improving patient outcomes.
Area of Science:
- Clinical Trials
- Biostatistics
- Pharmacology
Background:
- Traditional chemotherapy dose-finding relies on maximum tolerated dose (MTD), which may not apply to molecularly targeted agents and immunotherapies.
- Phase I/II trials integrating toxicity and efficacy can identify more clinically meaningful doses than toxicity-based Phase I trials.
- Current methods for dose optimization in early-phase trials can be complex and may not fully capture the risk-benefit tradeoff.
Purpose of the Study:
- To introduce a novel utility-based toxicity probability interval (uTPI) design for optimizing biological dose selection in clinical trials.
- To provide a simplified and robust method for identifying optimal doses that balance toxicity and efficacy for novel therapeutics.
- To develop a design that avoids parametric assumptions about dose-response relationships and directly models dose desirability.
Main Methods:
- The utility-based toxicity probability interval (uTPI) design uses a numerical utility to summarize bivariate toxicity and efficacy outcomes.
- It employs a quasi-binomial likelihood to model dose desirability without parametric dose-response assumptions.
- Dose escalation/de-escalation decisions are adaptive, based on posterior desirability distributions and screening of overly toxic doses using toxicity probability intervals.
Main Results:
- The uTPI design demonstrates desirable and robust performance across various simulation scenarios.
- It offers a flexible framework accommodating diverse dose desirability formulations with minimal design parameters.
- The design provides a clear decision structure, enabling pre-calculation of a dose-assignment table for simplified trial implementation.
Conclusions:
- The proposed uTPI design offers a strengthened and simplified approach to phase I/II clinical trial dose finding.
- It effectively identifies optimal biological doses by integrating efficacy and toxicity, crucial for targeted agents and immunotherapies.
- The uTPI design enhances the practical implementation of clinical trials by providing a clear, adaptive decision-making process.
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