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Applying population mechanistic modelling to find determinants of chimeric antigen receptor T-cells dynamics in month-one lymphoma patients

Abstract:

Background: Chimeric antigen receptor (CAR) T-cells have been utilized for the treatment of several malignancies, including Non-Hodgkin lymphomas. A myriad of product- and patient-specific factors determines the extent of patient response, and determining which are most impactful requires analysis of clinical data.


Methods: We used population-level ordinary differential equation models to fit clinical flow cytometry and tumour biopsy data from the TRANSCEND-NHL-001 (NCT02631044) study [1]. We analyzed the impact of lymphodepletion, CAR T-cell phenotypes, and other factors on CAR T-cell dynamics for 30 days after infusion.


Results: We quantified the relative contribution of antigen-dependent and independent sources of proliferation on CAR T-cell dynamics, finding that both make a large contribution and that antigen-independent proliferation was highly correlated with patient IL-15 and IL-7 blood concentrations. The proportion of CAR T-cells in naïve, memory, or effector cells was found to have a limited impact on CAR T-cell dynamics, compared with lymphodepletion and tumour burden.


Conclusions: This study shows how models can be used to link endogenous T-cells, CAR T-cells, and their phenotypes, and may be useful for determining whether a given patient may be responding poorly to treatment, by observing the dynamics of their endogenous T-cells. The framework we developed can be utilized for other CAR T constructs and indications, to test product alterations or biological hypotheses at the population level.

Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/immadv/ltaf001

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author


Publisher:
Oxford University Press
Journal:
Immunotherapy Advances More from this journal
Volume:
5
Issue:
1
Article number:
ltaf001
Publication date:
2025-06-09
Acceptance date:
2024-11-24
DOI:
EISSN:
2732-4303


Language:
English
Keywords:
Pubs id:
2067440
Local pid:
pubs:2067440
Deposit date:
2024-11-28

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