Discrete and continuum models for the coevolutionary dynamics between CD8+ cytotoxic T lymphocytes and tumour cells.

IF 0.8 4区 数学 Q4 BIOLOGY Mathematical Medicine and Biology-A Journal of the Ima Pub Date : 2023-06-14 DOI:10.1093/imammb/dqac017
Luís Almeida, Chloe Audebert, Emma Leschiera, Tommaso Lorenzi
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引用次数: 4

Abstract

We present an individual-based model for the coevolutionary dynamics between CD8+ cytotoxic T lymphocytes (CTLs) and tumour cells. In this model, every cell is viewed as an individual agent whose phenotypic state is modelled by a discrete variable. For tumour cells, this variable represents a parameterization of the antigen expression profiles, while for CTLs it represents a parameterization of the target antigens of T-cell receptors (TCRs). We formally derive the deterministic continuum limit of this individual-based model, which comprises a non-local partial differential equation for the phenotype distribution of tumour cells coupled with an integro-differential equation for the phenotype distribution of CTLs. The biologically relevant homogeneous steady-state solutions of the continuum model equations are found. The linear-stability analysis of these steady-state solutions is then carried out in order to identify possible conditions on the model parameters that may lead to different outcomes of immune competition and to the emergence of patterns of phenotypic coevolution between tumour cells and CTLs. We report on computational results of the individual-based model, and show that there is a good agreement between them and analytical and numerical results of the continuum model. These results shed light on the way in which different parameters affect the coevolutionary dynamics between tumour cells and CTLs. Moreover, they support the idea that TCR-tumour antigen binding affinity may be a good intervention target for immunotherapy and offer a theoretical basis for the development of anti-cancer therapy aiming at engineering TCRs so as to shape their affinity for cancer targets.

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CD8+细胞毒性T淋巴细胞和肿瘤细胞共同进化动力学的离散和连续模型。
我们提出了一个基于个体的CD8+细胞毒性T淋巴细胞(ctl)和肿瘤细胞之间共同进化动力学的模型。在这个模型中,每个细胞都被视为一个单独的因子,其表型状态由一个离散变量来建模。对于肿瘤细胞,该变量代表抗原表达谱的参数化,而对于ctl,它代表t细胞受体(TCRs)靶抗原的参数化。我们正式推导了这种基于个体的模型的确定性连续极限,该模型包括肿瘤细胞表型分布的非局部偏微分方程以及ctl表型分布的积分微分方程。找到了连续统模型方程的生物学相关齐次稳态解。然后对这些稳态溶液进行线性稳定性分析,以确定模型参数上可能导致免疫竞争不同结果的条件,以及肿瘤细胞和ctl之间表型共同进化模式的出现。我们报告了基于个体的模型的计算结果,并表明它们与连续体模型的解析和数值结果有很好的一致性。这些结果揭示了不同的参数如何影响肿瘤细胞和ctl之间的共同进化动力学。此外,他们支持了tcr -肿瘤抗原结合亲和力可能是一个很好的免疫治疗干预靶点的观点,并为开发针对工程tcr的抗癌治疗提供了理论基础,从而塑造其对癌症靶点的亲和力。
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来源期刊
CiteScore
2.20
自引率
0.00%
发文量
15
审稿时长
>12 weeks
期刊介绍: Formerly the IMA Journal of Mathematics Applied in Medicine and Biology. Mathematical Medicine and Biology publishes original articles with a significant mathematical content addressing topics in medicine and biology. Papers exploiting modern developments in applied mathematics are particularly welcome. The biomedical relevance of mathematical models should be demonstrated clearly and validation by comparison against experiment is strongly encouraged. The journal welcomes contributions relevant to any area of the life sciences including: -biomechanics- biophysics- cell biology- developmental biology- ecology and the environment- epidemiology- immunology- infectious diseases- neuroscience- pharmacology- physiology- population biology
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A generalized order mixture model for tracing connectivity of white matter fascicles complexity in brain from diffusion MRI. A dynamical model of TGF-β activation in asthmatic airways. Quantifying assays: inhibition of signalling pathways of cancer. Discrete and continuum models for the coevolutionary dynamics between CD8+ cytotoxic T lymphocytes and tumour cells. COVID-19 immunotherapy: a mathematical model.
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