Dose Optimization in Oncology Drug Development: Risk Factors for Postmarketing Requirements and Commitments
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Updated: May 22, 2025

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
Published on: March 11, 2021
Hiroe Kitagaki1,2, Kentaro Takeda3, Kazuya Murai1,4
1Regulatory Science, Graduate School of Pharmaceutical Science, Meiji Pharmaceutical University, Tokyo, Japan.
Abstract:
Optimal dosing of oncological drugs is historically determined based on the "higher is better" paradigm. However, a paradigm shift in optimal dose selection has occurred in the development of new modalities, including molecularly targeted drugs, antibody drugs, and immunotherapies. In 2021, Project Optimus was launched by the Food and Drug Administration Oncology Center of Excellence to reform the dose optimization and dose selection paradigm in oncology drug development. In August 2024, "Optimizing the Dosage of Human Prescription Drugs and Biological Products for the Treatment of Oncologic Diseases" was published, encouraging randomized evaluation of the benefit/risk profile of a range of doses before initiating a registration trial. Although Project Optimus offers general guidance on dose optimization, it does not specify which early clinical data requires a more cautious approach to dose optimization. This is the first comprehensive study to investigate newly approved oncology drugs by the FDA over a long period and to identify the risk factors for postmarketing requirement or commitment to dose optimization, using logistic regression analysis. Our findings show that when the labeled dose is the maximum tolerated dose, the percentage of adverse reactions leading to treatment discontinuation is increased, and an exposure-safety relationship is established, the risk for postmarketing requirement or commitment to dose optimization is increased. Our study will provide actionable, data-driven insights into dose optimization strategies by objectively and quantitatively evaluating risk factors. These findings will serve as valuable guidance for designing more effective early-phase trials, complementing the FDA Project Optimus guidance.
Insights
Project Optimus guides oncology drug dosing, but this study identifies risks. Dosing at maximum tolerated levels increases adverse events and post-approval dose optimization needs, informing better early-phase trial design.
Area of Science:
- Oncology Drug Development
- Clinical Pharmacology
- Regulatory Science
Background:
- Traditional oncology drug dosing followed a "higher is better" approach.
- Newer therapies like targeted drugs and immunotherapies necessitate a paradigm shift in dose selection.
- The Food and Drug Administration (FDA) launched Project Optimus in 2021 to reform dose optimization in oncology.
Purpose of the Study:
- To identify risk factors for postmarketing requirements or commitments related to dose optimization in newly approved oncology drugs.
- To provide data-driven insights for designing more effective early-phase clinical trials.
- To complement existing FDA Project Optimus guidance by specifying cautious approaches based on early clinical data.
Main Methods:
- Comprehensive analysis of newly approved oncology drugs over an extended period.
- Logistic regression analysis to identify risk factors for postmarketing dose optimization.
- Evaluation of the relationship between labeled dose, maximum tolerated dose, adverse reactions, and exposure-safety profiles.
Main Results:
- When the labeled dose equals the maximum tolerated dose, there is an increased percentage of adverse reactions leading to treatment discontinuation.
- Establishing an exposure-safety relationship increases the risk for postmarketing requirements or commitments for dose optimization.
- Specific early clinical data points correlate with a higher likelihood of needing postmarketing dose adjustments.
Conclusions:
- The study identifies key risk factors that necessitate a more cautious approach to dose optimization in oncology drug development.
- Findings provide objective, quantitative insights to guide early-phase trial design and dose selection strategies.
- This research supports the ongoing efforts to refine oncology drug development paradigms, aligning with the goals of Project Optimus.
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