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Application of quantitative pharmacology analysis to support early clinical development of oncology drugs: dose
Ningyuan Zhang1, Yu Li1, Wenbin Cui1
1Hansoh Pharmaceutical Group, Shanghai, China.
Abstract:
The selection of appropriate starting dose and suitable method to predict an efficacious dose for novel oncology drug in the early clinical development stage poses significant challenges. The traditional methods of using body surface area transformation from toxicology studies to predict the first-in human (FIH) starting dose, or simply selecting the maximum tolerated dose (MTD) or maximum administered dose (MAD) as efficacious dose or recommended phase 2 dose (RP2D), are usually inadequate and risky for novel oncology drugs.Due to the regulatory efforts aimed at improving dose optimisation in oncology drug development, clinical dose selection is now shifting away from these traditional methods towards a comprehensive benefit/risk assessment-based approach. Quantitative pharmacology analysis (QPA) plays a crucial role in this new paradigm. This mini-review summarises the use of QPA in selecting the starting dose for oncology FIH studies and potential efficacious doses for expansion or phase 2 trials. QPA allows for a more rational and scientifically based approach to dose selection by integrating information across studies and development phases.In conclusion, the application of QPA in oncology drug development has the potential to significantly enhance the success rates of clinical trials and ultimately support clinical decision-making, particularly in dose selection.
Insights
Quantitative pharmacology analysis (QPA) offers a scientifically rigorous approach to selecting optimal starting doses for novel oncology drugs in early clinical trials. This method moves beyond traditional, risky practices to improve drug development success rates.
Area of Science:
- Oncology Drug Development
- Clinical Pharmacology
- Quantitative Pharmacology Analysis (QPA)
Background:
- Selecting appropriate starting doses and predicting efficacious doses for novel oncology drugs in early development is challenging.
- Traditional methods like body surface area transformation and using maximum tolerated dose (MTD) or maximum administered dose (MAD) are often inadequate and risky.
- Regulatory focus is shifting towards benefit/risk assessment for dose optimization in oncology.
Purpose of the Study:
- To review the application of Quantitative Pharmacology Analysis (QPA) in selecting starting doses for first-in-human (FIH) oncology studies.
- To explore QPA's role in identifying potential efficacious doses for later-phase trials (e.g., expansion or Phase 2).
Main Methods:
- Mini-review summarizing the use of QPA in oncology drug development.
- Integration of data across studies and development phases through QPA.
- Focus on benefit/risk assessment-based approaches facilitated by QPA.
Main Results:
- QPA provides a more rational and scientifically grounded method for dose selection compared to traditional approaches.
- QPA enables the integration of diverse data to inform dose decisions.
- This approach supports a comprehensive benefit/risk assessment crucial for modern oncology drug development.
Conclusions:
- Quantitative Pharmacology Analysis (QPA) is pivotal in the evolving landscape of oncology drug dose selection.
- Implementing QPA can significantly enhance clinical trial success rates.
- QPA ultimately supports informed clinical decision-making, particularly for optimizing drug dosage.
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