Identification and Characterization of Fully Human FOLR1-Targeting CAR T Cells for the Treatment of Ovarian Cancer

Maria Bethke1, Pierre Abramowski1, Miriam Droste1

  • 1Miltenyi Biotec B.V. & Co. KG, 51429 Bergisch Gladbach, Germany.

Cells
|November 27, 2024
PubMed

Insights

Developing a rigorous workflow enhances CAR T-cell therapy by improving candidate selection. This strategy assesses specificity early, addressing immunogenicity and toxicity for better CAR T-cell treatments.

Area of Science:

  • Immunology
  • Oncology
  • Biotechnology

Background:

  • Chimeric Antigen Receptor (CAR) T-cell therapy shows promise for hematological malignancies.
  • Challenges like immunogenicity, toxicity, and lack of comprehensive evaluation workflows hinder CAR T-cell therapeutic potential.

Purpose of the Study:

  • To establish a stringent, multistep workflow for thorough evaluation and selection of lead CAR T-cell candidates.
  • To characterize a human FOLR1-directed CAR binding domain, focusing on specificity.

Main Methods:

  • Implemented a multistep workflow involving extensive specificity assessments using flow cytometry and imaging.
  • Utilized high-throughput screening and advanced in vitro assays to evaluate CAR T-cell functionality and specificity.
  • Determined on-/off-target and off-tumor reactivity of CAR binding domains.

Main Results:

  • Characterized a human FOLR1-directed CAR binding domain with detailed specificity profiling.
  • Demonstrated that comprehensive assays for CAR functionality and binding specificity are complementary.
  • Successfully identified critical specificity considerations early in the CAR development process.

Conclusions:

  • The developed workflow enables early identification of critical specificity considerations for CAR T-cell therapies.
  • This approach aims to overcome limitations related to immunogenicity and toxicity, improving the selection of effective CAR T-cell candidates.
  • This strategy supports the advancement of future CAR T-cell therapies by ensuring robust candidate assessment.