A mathematical model to study the impact of intra-tumour heterogeneity on anti-tumour CD8+ T cell immune response

被引:15
|
作者
Leschiera, Emma [1 ]
Lorenzi, Tommaso [2 ]
Shen, Shensi [3 ]
Almeida, Luis [1 ]
Audebert, Chloe [1 ,4 ]
机构
[1] Univ Paris, Sorbonne Univ, Lab Jacques Louis Lions, CNRS,UMR 7598, F-75005 Paris, France
[2] Politecn Torino, Dipartimento Eccellenza 2018 2022, Dept Math Sci G Lagrange, I-10129 Turin, Italy
[3] Sichuan Univ, West China Hosp, Inst Thorac Oncol, Chengdu, Peoples R China
[4] Sorbonne Univ, CNRS, Inst Biol Paris Seine IBPS, Lab Biol Computat & Quantitat,UMR 7238, F-75005 Paris, France
基金
欧洲研究理事会;
关键词
Individual-based models; Numerical simulations; Tumour-Immune cell interactions; Intra-tumour heterogeneity; Antigen presentation; CHECKPOINT BLOCKADE; CLONAL EVOLUTION; CTLA-4; BLOCKADE; IN-VIVO; IMMUNOTHERAPY; SYSTEM; LYMPHOCYTES; EXHAUSTION; SIMULATION; RESISTANCE;
D O I
10.1016/j.jtbi.2022.111028
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Intra-tumour heterogeneity (ITH) has a strong impact on the efficacy of the immune response against solid tumours. The number of sub-populations of cancer cells expressing different antigens and the percentage of immunogenic cells (i.e. tumour cells that are effectively targeted by immune cells) in a tumour are both expressions of ITH. Here, we present a spatially explicit stochastic individual-based model of the interaction dynamics between tumour cells and CD8(+) T cells, which makes it possible to dissect out the specific impact of these two expressions of ITH on anti-tumour immune response. The set-up of numerical simulations of the model is defined so as to mimic scenarios considered in previous experimental studies. Moreover, the ability of the model to qualitatively reproduce experimental observations of successful and unsuccessful immune surveillance is demonstrated. First, the results of numerical simulations of this model indicate that the presence of a larger number of sub-populations of tumour cells that express different antigens is associated with a reduced ability of CD8(+) T cells to mount an effective anti-tumour immune response. Secondly, the presence of a larger percentage of tumour cells that are not effectively targeted by CD8(+) T cells may reduce the effectiveness of anti-tumour immunity. Ultimately, the mathematical model presented in this paper may provide a framework to help biologists and clinicians to better understand the mechanisms that are responsible for the emergence of different outcomes of immunotherapy. (C) 2022 Elsevier Ltd. All rights reserved.
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页数:17
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