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Adaptive phase I-II clinical trial designs identifying optimal biological doses for targeted agents and
Yong Zang1,2, Beibei Guo3, Yingjie Qiu1
1Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN, USA.
Abstract:
Targeted agents and immunotherapies have revolutionized cancer treatment, offering promising options for various cancer types. Unlike traditional therapies the principle of "more is better" is not always applicable to these new therapies due to their unique biomedical mechanisms. As a result, various phase I-II clinical trial designs have been proposed to identify the optimal biological dose that maximizes the therapeutic effect of targeted therapies and immunotherapies by jointly monitoring both efficacy and toxicity outcomes. This review article examines several innovative phase I-II clinical trial designs that utilize accumulated efficacy and toxicity outcomes to adaptively determine doses for subsequent patients and identify the optimal biological dose, maximizing the overall therapeutic effect. Specifically, we highlight three categories of phase I-II designs: efficacy-driven, utility-based, and designs incorporating multiple efficacy endpoints. For each design, we review the dose-outcome model, the definition of the optimal biological dose, the dose-finding algorithm, and the software for trial implementation. To illustrate the concepts, we also present two real phase I-II trial examples utilizing the EffTox and ISO designs. Finally, we provide a classification tree to summarize the designs discussed in this article.
Insights
Innovative phase I-II clinical trial designs optimize doses for targeted cancer therapies and immunotherapies. These adaptive designs use efficacy and toxicity data to find the best biological dose, maximizing patient benefit.
Area of Science:
- Oncology
- Clinical Trial Design
- Pharmacology
Background:
- Targeted agents and immunotherapies represent a paradigm shift in cancer treatment.
- The "more is better" principle is often inapplicable to these novel therapies due to complex mechanisms.
- Optimizing dosage is crucial for maximizing therapeutic effects while managing toxicity.
Purpose of the Study:
- To review innovative phase I-II clinical trial designs for targeted agents and immunotherapies.
- To examine designs that adaptively determine patient doses based on accumulating efficacy and toxicity data.
- To identify optimal biological doses that maximize overall therapeutic effect.
Main Methods:
- Review of innovative phase I-II clinical trial designs, categorized into efficacy-driven, utility-based, and multi-endpoint designs.
- Analysis of dose-outcome models, optimal biological dose definitions, dose-finding algorithms, and software implementation.
- Illustration with two real-world phase I-II trial examples (EffTox and ISO designs).
Main Results:
- Discussion of three main categories of adaptive phase I-II designs.
- Presentation of dose-outcome models, dose-finding algorithms, and software tools for each design type.
- Exemplification of design application through EffTox and ISO trials.
Conclusions:
- Adaptive phase I-II designs are essential for optimizing novel cancer therapies.
- These designs effectively utilize accumulated data to determine optimal biological doses.
- A classification tree is provided to guide the selection of appropriate trial designs.
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