Early Phase Dose‐Finding Designs for <scp>CAR</scp> ‐T Cell Therapies
Chimeric Antigen Receptor (CAR)-T cell is an immunotherapy which revolutionised the treatment of relapsed/refractory lymphoma and leukaemia. It is shown to have a higher response rate, higher mid-to-long term overall survival, and lower toxicity than standard treatments. However, due to a lack of dose-limiting toxicity (DLT) and unclear dose-effect relationship, traditional phase I designs of clinical trials cannot lead to accurate selections of the optimal dose (OD). Beside clinical outcomes, the CAR-T cell expansion from serial blood samples is measured at various time points. We propose a novel early phase dose-finding design for CAR-T cells, using both toxicity and activity endpoints to locate the OD. The number of CAR-T cells measured in the peripheral blood is used to indicate activity, which is more sensitive than the short-term clinical responses traditionally used. A Bi-Exponential model is used for the repeated measures of the number of cells for each patient, and is estimated under a Bayesian framework. The model is motivated by biological concerns and is flexible enough to accommodate different shapes of the cell-expansion curve. Three criteria for activity are considered: (1) the number of cells at specific time points, (2) the duration before all cells are eliminated, (3) the area under the cell-expansion curve. Simulation studies show that the OD can be selected with high accuracy even under small sample sizes.
Authors
- W. W. Chen (ORCID: https://orcid.org/0000-0003-0718-5901)
- Jimmy Mullaert (ORCID: https://orcid.org/0000-0002-2563-9033)
- Pavel Mozgunov
- Xavier Paoletti
Institutions
- Inserm (FR)
- Université de Versailles Saint-Quentin-en-Yvelines (FR)
- University of Cambridge (GB)
- Université Paris-Saclay (FR)
- Château de Longchamp (FR)
- MRC Biostatistics Unit (GB)
- Institut Curie (FR)
Publication Details
- Journal
- Pharmaceutical Statistics
- Published
- 2026-06-18
- DOI
- https://doi.org/10.1002/pst.70102
- Primary Topic
- CAR-T cell therapy research
- Type
- article
- Field-Weighted Citation Impact
- 0.00