Publication
CAR T cell therapy in B-cell acute lymphoblastic leukaemia: Insights from mathematical models
O. León-Triana, S. Sabir, G.F. Calvo, J. Belmonte-Beitia, S. Chulian, A. Martínez-Rubio, M. Rosa, A. Pérez-Martínez, M. Ramírez-Orellana, V.M. Pérez-García
Comm Nonlin Sci Numer Simul 94, 105570 (2021)
MOLAB authors
Belmonte Beitia, Juan. Pérez García, Victor M.. Fernández Calvo, Gabriel. León Triana, Odelaisy. Martínez Rubio, Álvaro.  Rosa Durán, María. Chulián García, Salvador. Soukaina, Sabir. 
Abstract
Immunotherapies use components of the patient immune system to selectively target cancer cells. The use of CAR T cells to treat B-cell malignancies --leukaemias and lymphomas-- is one of the most successful examples, with many patients experiencing long-lasting complete responses to this therapy. This treatment works by extracting the patient's T cells and adding them the CAR group, which enables them to recognize and target cells carrying the antigen CD19+, that is expressed in these haematological tumors.
Here we put forward a mathematical model describing the time response of leukaemias to the injection of CAR T-cells. The model accounts for mature and progenitor B-cells, tumor cells, CAR T cells and side effects by incorporating the main biological processes involved. The model explains the early post-injection dynamics of the different compartments and the fact that the number of CAR T cells injected does not critically affect the treatment outcome. An explicit formula is found that provides the maximum CAR T cell expansion in-vivo and the severity of side effects. Our mathematical model captures other known features of the response to this immunotherapy. It also predicts that CD19+ tumor relapses could be the result of the competition between tumor and CAR T cells analogous to predator-prey dynamics. We discuss this fact on the light of available evidences and the possibility of controlling relapses by early re-challenging of the tumor with stored CAR T cells.