Dosing Strategies and Quantitative Clinical Pharmacology for Bispecific T-Cell Engagers Development in Oncology

Mohamed Elmeliegy1, Joseph Chen2, Aruna Dontabhaktuni3

  • 1Oncology Research and Development, Pfizer Inc, San Diego, California, USA.

Insights

Model-informed drug development (MIDD) optimizes bispecific T-cell engager (TCE) dosing for cancer therapy. This approach enhances safety and efficacy by guiding dose selection and treatment regimens, improving patient outcomes.

Area of Science:

  • Oncology
  • Immunology
  • Pharmacology

Background:

  • Bispecific T-cell engagers (TCEs) are novel immunotherapies targeting cancer by linking T cells to tumor cells.
  • TCEs present unique development challenges, including cytokine release syndrome, necessitating careful dose management.
  • Clinical pharmacology plays a crucial role in optimizing TCE therapy and mitigating safety risks.

Purpose of the Study:

  • To review dose selection strategies for TCEs.
  • To assess the role of quantitative clinical pharmacology and model-informed drug development (MIDD) in guiding TCE development.
  • To evaluate the application of MIDD in the development of the first eight approved TCEs.

Main Methods:

  • Review of clinical pharmacology principles applied to TCE development.
  • Assessment of model-informed drug development (MIDD) strategies, including mechanistic modeling.
  • Analysis of dose selection and optimization for approved TCEs.

Main Results:

  • MIDD enables efficacious and safe first-in-human dose selection.
  • Model-based adaptive designs facilitate rapid dose escalation and reduce sub-therapeutic dosing.
  • MIDD supports virtual testing of dosing regimens and selection of optimal clinical doses.

Conclusions:

  • MIDD is essential for optimizing the development and dosing of bispecific T-cell engagers.
  • Quantitative clinical pharmacology and MIDD strategies are key to managing safety risks like cytokine release syndrome.
  • Advancements in MIDD will further refine TCE therapy, improving the benefit-risk profile for cancer patients.

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