1. A novel predictive algorithm to personalize autologous T-cell harvest for chimeric antigen receptor T-cell manufacture
- Author
-
Maeve A. O'Reilly, Aman Malhi, Kathleen P.L. Cheok, Stuart Ings, Carmen Balsa, Helen Keane, Katarzyna Jalowiec, Lorna Neill, Karl S. Peggs, and Claire Roddie
- Subjects
Cancer Research ,Transplantation ,Oncology ,Immunology ,Immunology and Allergy ,Cell Biology ,Genetics (clinical) - Abstract
The most widely accepted starting materials for chimeric antigen receptor T-cell manufacture are autologous CD3+ T cells obtained via the process of leukapheresis, also known as T-cell harvest. As this treatment modality gains momentum and apheresis units struggle to meet demand for harvest slots, strategies to streamline this critical step are warranted.This retrospective review of 262 T-cell harvests, with a control cohort of healthy donors, analyzed the parameters impacting CD3+ T-cell yield in adults with B-cell malignancies. The overall aim was to design a novel predictive algorithm to guide the required processed blood volume (PBV) (L) on the apheresis machine to achieve a specific CD3+ target yield.Factors associated with CD3+ T-cell yield on multivariate analysis included peripheral blood CD3+ count (natural log, ×10The authors propose a transferrable model that incorporates clinical and laboratory variables accessible pre-harvest for use across the field of T-cell therapy. Pending further validation, such a model may be used to generate an individual leukapheresis plan and streamline the process of cell harvest, a well-recognized bottleneck in the industry.
- Published
- 2022