Mechanisms of resistance to CAR-T cell immunotherapy: Insights from a mathematical model

被引:6
|
作者
Santurio, Daniela Silva [1 ]
Paixao, Emanuelle A. [2 ]
Barros, Luciana R. C. [3 ]
Almeida, Regina C. [4 ]
Fassoni, Artur C. [5 ]
机构
[1] Inst Training Program, Lab Nacl Computacao Cient, BR-25651075 Petropolis, Brazil
[2] Grad Program, Lab Nacl Computacao Cient, BR-25651075 Petropolis, Brazil
[3] Univ Sao Paulo, Hosp Clin, Ctr Translat Res Oncol, Inst Canc Estado Sao Paulo,Fac Med, BR-01246000 Sao Paulo, Brazil
[4] Lab Nacl Computacao Cient, Computat Modeling Program, BR-25651075 Petropolis, Brazil
[5] Univ Fed Itajuba, Inst Math & Comp Sci, BR-37500903 Itajuba, Brazil
关键词
Antigen density; CAR-T therapy; Antigen-positive relapse; Antigen-negative relapse; Mutation; Temporary antigen loss; B-ALL; THERAPY; MUTATIONS;
D O I
10.1016/j.apm.2023.08.029
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Chimeric Antigen Receptor (CAR)-T cell therapy long-term follow-up studies revealed nondurable remissions in a significant number of patients. Some of the mechanisms underlying these relapses include poor CAR T cell cytotoxicity or persistence, as well as antigen loss or lineage switching in tumor cells. In order to investigate how antigen-mediated resistance mechanisms affect therapy outcomes, we develop a mathematical model based on a set of integral-partial differential equations. Using a continuous variable to describe the level of antigen expression of tumor cells, we recapitulated important cellular mechanisms across patients with different therapeutic responses. Fitted with clinical data, the model successfully captured the dynamics of tumor and CAR-T cells for several hematological cancers. Furthermore, the role played by these mechanisms are explored with regard to different biological scenarios, such as pre-existing or aquired mutations, providing a deeper understanding of key factors underlying resistance to CAR-T cell immunotherapy.
引用
收藏
页码:1 / 15
页数:15
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