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Published on: March 20, 2021
Evolution of early phase clinical trials in oncology
1Division of Medical Oncology, Stanford University School of Medicine, 780 Welch Road, CJ250L, Palo Alto, CA, 94305, USA.
Abstract:
The therapeutic armamentarium for the treatment of cancer has rapidly evolved with the advent of molecularly targeted and immuno-oncology agents. Dramatic and prolonged responses observed in patients with advanced cancers have created excitement and promise for expedited development of effective new treatments. However, this has also necessitated a rethinking of our early phase clinical trial designs and the process of optimally developing a novel agent. In this review, we discuss the current state and future directions of phase I clinical trials in oncology. Firstly, we cover the statistical methodologies behind rules and model-based dose escalation designs, and what the future holds for optimal dose selection beyond targeting the maximum tolerated dose. Next, we discuss the recent adoption of seamless expansion strategies to expedite drug development timelines, highlighted by the pembrolizumab KEYNOTE-001 trial, and potential pitfalls with this approach. Finally, we delve into the concepts behind genomic matching trials, including early success stories and the challenges that lie ahead.
Insights
This review examines advancements in early phase oncology clinical trials, focusing on novel dose-finding strategies and expedited drug development. It explores statistical methods, seamless trial designs, and genomic matching for improved cancer therapeutics.
Area of Science:
- Oncology
- Clinical Trial Design
- Pharmacology
Background:
- Cancer treatment has advanced with targeted therapies and immuno-oncology.
- Dramatic patient responses necessitate optimized early-phase trial designs.
- Rethinking clinical trial processes is crucial for novel agent development.
Purpose of the Study:
- To review the current state and future directions of phase I oncology clinical trials.
- To discuss statistical methodologies for dose escalation and optimal dose selection.
- To explore seamless expansion strategies and genomic matching trials.
Main Methods:
- Review of statistical methodologies for dose escalation (rule-based and model-based).
- Analysis of seamless expansion strategies in drug development.
- Discussion of genomic matching trial concepts and early successes.
Main Results:
- Exploration of dose selection beyond maximum tolerated dose.
- Highlighting expedited drug development via seamless strategies (e.g., KEYNOTE-001).
- Identification of challenges and successes in genomic matching trials.
Conclusions:
- Phase I oncology trials are evolving with new statistical and strategic approaches.
- Seamless designs and genomic matching offer promise but require careful consideration.
- Future directions focus on optimizing dose selection and accelerating novel cancer therapies.
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