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Merck & Co., Inc. partnered with Certara to determine an optimal pediatric dosing strategy for an antibody-drug conjugate (ADC) initially approved for large B-cell lymphoma in adults and now in development for pediatric cancers. Certara developed a complex population PK model using adult data, incorporating three ADC analytes to accurately characterize pharmacokinetics and run pediatric dose-exposure simulations across age groups. The work supported FDA acceptance of Merck’s weight-based dosing strategy and enabled advancement of the pediatric investigational plan to Phase III trials, establishing a strong foundation for future pediatric ADC programs.

The challenge

In late 2021, Merck & Co., Inc. partnered with Certara to solve a critical challenge in pediatric oncology: how to extend an innovative antibody–drug conjugate (ADC) therapy, originally approved for large B-cell lymphoma in adults to children with B-cell acute lymphoblastic leukemia, neuroblastoma, and Ewing sarcoma.

A key regulatory question centered on the pediatric dosing strategy. The FDA requested justification for whether body surface area (BSA)–based dosing would offer advantages over weight-based dosing in children. Determining the optimal approach required robust ADC modeling capable of supporting pediatric ADC dose optimization.

ADC pharmacokinetics are inherently complex, involving large and small molecular components, deconjugation processes, variable drug-to-antibody ratios (DARs), and limited pediatric data, making traditional modeling approaches insufficient for accurate pediatric ADC dosing predictions.

Certara support

Developing a robust population PK model for a complex ADC

Certara collaborated with Merck to develop and validate a population PK (popPK) model for the ADC therapy using Phase I adult data. The ADC modeling framework included:

  • Total antibody
  • Antibody-conjugated payload
  • Naked payload – This three-analyte structure allowed detailed characterization of:
    • Proteolytic degradation
    • Deconjugation pathways

Data alignment and refinement

When initial assay data did not meet modeling requirements, Certara partnered with Merck’s teams to troubleshoot discrepancies. Instead of relying on derived ADC metrics assuming a fixed DAR, analysts used raw analyte data to improve accuracy, stability, and predictive power.

Pediatric dosing simulations

To support pediatric ADC dose optimization, the model simulated exposures across ages 6 months to 18 years. Developmental biology, such as enzyme maturation and physiologic scaling, was integrated to improve predictions and strengthen justification for pediatric ADC dosing strategies.

Impact

Regulatory success

Certara’s work supported FDA acceptance of Merck’s weight-based dosing strategy, enabling approval of the pediatric investigational plan (PIP) and advancement to Phase III.

First-of-its-kind ADC modeling innovation

The project successfully modeled a highly complex ADC with three analytes, an uncommon and technically challenging achievement, marking a milestone in applying ADC modeling to pediatric oncology.

Accelerated development

Addressing FDA concerns early helped Merck avoid potential regulatory delays and maintain development momentum.

Seamless collaboration

Close scientific alignment ensured accurate assumptions and model credibility, even with limited pediatric data.

Foundation for future ADC programs

This work established a scalable framework for future pediatric ADC programs and reinforced Merck’s confidence in Certara’s pharmacometrics leadership.

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