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Pediatric oncology drug development and dosage optimization
S Y Amy Cheung1, Justin L Hay1, Yu-Wei Lin1
1Certara, Princeton, NJ, United States.
Abstract:
Oncology drug discovery and development has always been an area facing many challenges. Phase 1 oncology studies are typically small, open-label, sequential studies enrolling a small sample of adult patients (i.e., 3-6 patients/cohort) in dose escalation. Pediatric evaluations typically lag behind the adult development program. The pediatric starting dose is traditionally referenced on the recommended phase 2 dose in adults with the incorporation of body size scaling. The size of the study is also small and dependent upon the prevalence of the disease in the pediatric population. Similar to adult development, the dose is escalated or de-escalated until reaching the maximum tolerated dose (MTD) that also provides desired biological activities or efficacy. The escalation steps and identification of MTD are often rule-based and do not incorporate all the available information, such as pharmacokinetic (PK), pharmacodynamic (PD), tolerability and efficacy data. Therefore, it is doubtful if the MTD approach is optimal to determine the dosage. Hence, it is important to evaluate whether there is an optimal dosage below the MTD, especially considering the emerging complexity of combination therapies and the long-term tolerability and safety of the treatments. Identification of an optimal dosage is also vital not only for adult patients but for pediatric populations as well. Dosage-finding is much more challenging for pediatric populations due to the limited patient population and differences among the pediatric age range in terms of maturation and ontogeny that could impact PK. Many sponsors defer the pediatric strategy as they are often perplexed by the challenges presented by pediatric oncology drug development (model of action relevancy to pediatric population, budget, timeline and regulatory requirements). This leads to a limited number of approved drugs for pediatric oncology patients. This review article provides the current regulatory landscape, incentives and how they impact pediatric drug discovery and development. We also consider different pediatric cancers and potential clinical trial challenges/opportunities when designing pediatric clinical trials. An outline of how quantitative methods such as pharmacometrics/modelling & simulation can support the dosage-finding and justification is also included. Finally, we provide some reflections that we consider helpful to accelerate pediatric drug discovery and development.
Insights
Optimizing pediatric oncology drug dosage is crucial due to challenges in traditional methods. Quantitative approaches like pharmacometrics can help find optimal doses, accelerating development for children.
Area of Science:
- Oncology
- Pediatric Pharmacology
- Drug Development
Background:
- Oncology drug development faces significant challenges, particularly in pediatric studies.
- Pediatric drug dosing often lags adult development, using body size scaling from adult doses.
- Traditional dose escalation to maximum tolerated dose (MTD) may not be optimal, especially for combination therapies and long-term safety.
Purpose of the Study:
- To review the regulatory landscape and incentives impacting pediatric oncology drug discovery.
- To discuss challenges and opportunities in pediatric cancer clinical trial design.
- To explore the role of quantitative methods, like pharmacometrics, in pediatric dosage-finding.
Main Methods:
- Review of current regulatory policies and incentives for pediatric drug development.
- Analysis of challenges specific to pediatric oncology clinical trials.
- Outline of pharmacometric and modeling & simulation approaches for dosage justification.
Main Results:
- Traditional MTD determination may be suboptimal; optimal dosing below MTD is critical.
- Pediatric drug development faces unique hurdles including small patient populations and developmental variations.
- Quantitative methods offer a promising avenue to support and justify pediatric dosing strategies.
Conclusions:
- Accelerating pediatric oncology drug discovery requires addressing regulatory, trial design, and dosing challenges.
- Pharmacometrics and modeling & simulation are vital tools for optimizing pediatric drug dosage.
- A comprehensive strategy incorporating regulatory insights and advanced quantitative methods is needed to improve pediatric cancer treatment access.
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