Accelerating development of engineered T cell therapies in the EU: current regulatory framework for studying multiple

Delphine Ammar1, Inga Schapitz2, Maik Luu3

  • 1Regulatory Affairs, Astellas Pharma B.V., Leiden, Netherlands.

Frontiers in Immunology
|December 11, 2023
PubMed

Insights

This paper explores regulatory strategies to speed up the development of advanced cell therapies for cancer. It focuses on using existing EU frameworks for iterative learning and data extrapolation across product versions.

Area of Science:

  • Cellular immunotherapy
  • Regulatory science
  • Oncology drug development

Background:

  • Advanced Therapy Medicinal Products (ATMPs) are crucial for treating life-threatening cancers with limited options.
  • Current regulatory approaches require continuous evaluation and adjustment to meet the needs of innovative therapies.
  • Science and risk-based strategies are essential for managing early clinical research and flexible manufacturing.

Purpose of the Study:

  • To explore opportunities for expediting the development of CAR and TCR engineered T cell therapies within the EU regulatory framework.
  • To facilitate an iterative and adaptive learning approach across different product versions based on platform technology.
  • To identify ways to streamline regulatory submissions and optimize clinical studies.

Main Methods:

  • Analysis of the existing EU regulatory framework for ATMPs.
  • Exploration of science and risk-based approaches for product development.
  • Leveraging iterative and adaptive learning across product versions with similar design elements.

Main Results:

  • Opportunities exist to streamline regulatory submissions by extrapolating data across product versions.
  • An iterative and adaptive learning approach can reduce the need for duplicative studies.
  • Flexible manufacturing paradigms can be balanced with risk mitigation.

Conclusions:

  • The T2EVOLVE initiative proposes leveraging the EU regulatory framework to accelerate ATMP development.
  • Iterative learning and data extrapolation are key to optimizing clinical studies and submissions.
  • Concepts discussed for CAR/TCR T cell therapies may apply to other engineered cell therapies.

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