Multi-parametric profiling of IL-7-augmented GD2.CART products in a phase 1 clinical trial

Sarah Schulenberg1, Martí Farrera-Sal1, Michelle Loeser1

  • 1Berlin Institute of Health (BIH) at Charité - Universitätsmedizin Berlin, BIH Center for Regenerative Therapies (BCRT), Experimental Immunotherapy, Augustenburger Platz 1, 13353 Berlin, Germany.

Iscience
|November 10, 2025
PubMed

Insights

Constitutively active IL-7 receptor (C7R) enhanced Chimeric Antigen Receptor T cell (CART) therapy for pediatric brain tumors. Profiling identified CD8+ T cells associated with better treatment outcomes.

Area of Science:

  • Immunology
  • Oncology
  • Biotechnology

Background:

  • Chimeric Antigen Receptor T cell (CART) therapy shows promise for cancer treatment.
  • Product heterogeneity in CART therapy limits clinical effectiveness, necessitating systematic profiling to find success predictors.

Purpose of the Study:

  • To investigate if a constitutively active IL-7 receptor (C7R) can safely improve the function and persistence of GD2-directed CARTs (GD2.CARTs) in pediatric high-grade CNS tumors.
  • To characterize CART products and assess C7R's impact on GD2.CART performance using advanced flow cytometry and killing assays.

Main Methods:

  • Analysis of infusion products from a phase 1 clinical trial using a 33-color full spectrum flow cytometry (FSFC) panel.
  • Evaluation of CART product function via an image-based tumor killing assay.
  • Unsupervised clustering to identify T cell subsets associated with clinical responses.

Main Results:

  • Patient-specific T cell composition correlated with therapeutic success.
  • C7R co-expression improved the functional phenotype of GD2.CARTs compared to CAR-only products.
  • CD8+ T cells exhibiting activation, infiltration, resilience, and cytotoxicity were linked to clinical responses.

Conclusions:

  • FSFC-based profiling reveals key determinants of CART efficacy.
  • C7R co-expression represents a viable strategy to enhance CART function and persistence.
  • This approach supports the optimization of adoptive immunotherapy for challenging cancers.