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地塞米松的剂量依赖性阈值破坏 CAR-T 细胞治疗疗效

英文原题:Dose-dependent thresholds of dexamethasone destabilize CAR T-cell treatment efficacy.

查看英文原题

Dose-dependent thresholds of dexamethasone destabilize CAR T-cell treatment efficacy.

PubMed 2022/01/26(内容时间) PLoS Comput Biol Q1 · IF 3.7(JCR 2025)

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中文摘要

嵌合抗原受体(CAR)T细胞疗法可能是胶质母细胞瘤的一种有效靶向免疫疗法,但目前关于CAR-T 细胞治疗与广泛使用的抗炎和免疫抑制糖皮质激素地塞米松联合使用时的疗效知之甚少。

在此,我们提出了一种基于数学模型的分析,对三种患者来源的胶质母细胞瘤细胞系在体外用CAR-T 细胞和地塞米松处理进行了研究。先进的体外实验细胞杀伤测定技术允许对用CAR-T 细胞和地塞米松处理的肿瘤细胞进行高度解析的时间动态分析,使其成为研究具有转化应用的非线性生物过程丰富动力学的宝贵模型系统。

我们将该系统建模为肿瘤细胞和CAR-T 细胞的非自治、双物种捕食者-猎物相互作用,其中地塞米松的清除率具有显式时间依赖性。以时间为分岔参数,我们表明(1)地塞米松以剂量依赖性方式使CAR-T 细胞与肿瘤细胞之间的共存平衡不稳定,(2)随着地塞米松从系统中清除,稳定的共存平衡以Hopf分岔的形式恢复。将模型拟合到实验数据后,我们证明高浓度的地塞米松通过耗竭或降低CAR-T 细胞的活性以及促进肿瘤细胞生长来拮抗CAR-T 细胞疗效。

最后,我们确定了CAR-T 细胞死亡与CAR-T 细胞增殖速率之比的临界阈值,该阈值可预测最终治疗成功或失败,可用于指导患者在地塞米松存在下CAR-T 细胞治疗的剂量和时机。

展开英文摘要原文

Chimeric antigen receptor (CAR) T-cell therapy is potentially an effective targeted immunotherapy for glioblastoma, yet there is presently little known about the efficacy of CAR T-cell treatment when combined with the widely used anti-inflammatory and immunosuppressant glucocorticoid, dexamethasone.

Here we present a mathematical model-based analysis of three patient-derived glioblastoma cell lines treated in vitro with CAR T-cells and dexamethasone. Advanced in vitro experimental cell killing assay technologies allow for highly resolved temporal dynamics of tumor cells treated with CAR T-cells and dexamethasone, making this a valuable model system for studying the rich dynamics of nonlinear biological processes with translational applications.

We model the system as a nonautonomous, two-species predator-prey interaction of tumor cells and CAR T-cells, with explicit time-dependence in the clearance rate of dexamethasone. Using time as a bifurcation parameter, we show that (1) dexamethasone destabilizes coexistence equilibria between CAR T-cells and tumor cells in a dose-dependent manner and (2) as dexamethasone is cleared from the system, a stable coexistence equilibrium returns in the form of a Hopf bifurcation.

With the model fit to experimental data, we demonstrate that high concentrations of dexamethasone antagonizes CAR T-cell efficacy by exhausting, or reducing the activity of CAR T-cells, and by promoting tumor cell growth.

Finally, we identify a critical threshold in the ratio of CAR T-cell death to CAR T-cell proliferation rates that predicts eventual treatment success or failure that may be used to guide the dose and timing of CAR T-cell therapy in the presence of dexamethasone in patients.

论文信息

作者
Brummer AB、Yang X、Ma E、Gutova M、Brown CE、Rockne RC
单位
Department of Computational and Quantitative Medicine, Division of Mathematical Oncology, Beckman Research Institute, City of Hope National Medical Center, Duarte, California, United States of America.United States
文献类型
美国 NIH 资助研究 · 非美国政府资助研究
期刊
PLoS computational biology2022 Jan
原文标识
PubMed 35081104 · DOI 10.1371/journal.pcbi.1009504