ImmunoInformatics (Mar 2023)

Modeling interaction of Glioma cells and CAR T-cells considering multiple CAR T-cells bindings

  • Runpeng Li,
  • Prativa Sahoo,
  • Dongrui Wang,
  • Qixuan Wang,
  • Christine E. Brown,
  • Russell C. Rockne,
  • Heyrim Cho

DOI
https://doi.org/10.1016/j.immuno.2023.100022
Journal volume & issue
Vol. 9
p. 100022

Abstract

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Chimeric antigen receptor (CAR) T-cell based immunotherapy has shown its potential in treating blood cancers, and its application to solid tumors is currently being extensively investigated. For glioma brain tumors, various CAR T-cell targets include IL13Rα2, EGFRvIII, HER2, EphA2, GD2, B7-H3, and chlorotoxin. In this work, we are interested in developing a mathematical model of IL13Rα2 targeting CAR T-cells for treating glioma. We focus on extending the work of Kuznetsov et al. (1994) by considering binding of multiple CAR T-cells to a single glioma cell, and the dynamics of these multi-cellular conjugates. Our model more accurately describes experimentally observed CAR T-cell killing assay data than the models which do not consider multi-cellular conjugates. Moreover, we derive conditions in the CAR T-cell expansion rate that determines treatment success or failure. Finally, we show that our model captures distinct CAR T-cell killing dynamics from low to high antigen receptor densities in patient-derived brain tumor cells.

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