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胶质母细胞瘤的 CAR-T 细胞与溶瘤病毒动力学及联合治疗成功的决定因素

英文原题:CAR T-cell and oncolytic virus dynamics and determinants of combination therapy success for glioblastoma.

查看英文原题

CAR T-cell and oncolytic virus dynamics and determinants of combination therapy success for glioblastoma.

PubMed 2025/09/15(内容时间) Math Biosci Q2 · IF 2.6(JCR 2025)

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中文摘要

胶质母细胞瘤是一种高度侵袭性且对治疗耐药的原发性脑癌。尽管嵌合抗原受体(CAR)T细胞疗法靶向这些肿瘤显示出良好前景,但尚未实现治愈。提高CAR-T 细胞疗效的一种创新方法是将其与其他免疫调节疗法联合。本研究体外考察靶向IL-13Rα2的CAR-T 细胞与溶瘤病毒(OV)的联合应用,并采用新型数学模型研究肿瘤细胞、CAR-T 细胞和OV之间的复杂相互作用。我们将模型拟合至各单药和联合治疗实验数据,以揭示疗法协同和疗效提高的决定因素。分析发现,病毒裂解量是决定肿瘤净感染率和联合治疗整体疗效的关键参数。此外,模型预测,溶瘤病毒与CAR-T 细胞同时给药或先于CAR-T 细胞给药,可最大化治疗效果。

展开英文摘要原文

Glioblastoma is a highly aggressive and treatment-resistant primary brain cancer. While chimeric antigen receptor (CAR) T-cell therapy has demonstrated promising results in targeting these tumors, it has not yet been curative. An innovative approach to improve CAR T-cell efficacy is to combine them with other immune modulating therapies.

In this study, we investigate in vitro combination of IL-13R 2 targeted CAR T-cells with an oncolytic virus (OV) and study the complex interplay between tumor cells, CAR T-cells, and OV dynamics with a novel mathematical model.

We fit the model to data collected from experiments with each therapy individually and in combination to reveal determinants of therapy synergy and improved efficacy.

Our analysis reveals that the virus bursting size is a critical parameter in determining the net tumor infection rate and overall combination treatment efficacy.

Moreover, the model predicts that administering the oncolytic virus simultaneously with, or prior to, CAR T-cells could maximize therapeutic efficacy.

论文信息

作者
Conte M、Xella A、Woodall RT、Cassady KA、Branciamore S、Brown CE、Rockne RC
第一作者单位
Department of Mathematical Sciences "G. L. Lagrange", Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129, Torino, Italy; Division of Mathematical Oncology and Computational Systems Biology, Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, United States of America. Electronic address: martina.conte@polito.it.Italy
通讯作者单位
Division of Mathematical Oncology and Computational Systems Biology, Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, United States of America. Electronic address: rrockne@coh.org.United States
期刊
Mathematical biosciences2025 Nov
原文标识
PubMed 40962204 · DOI 10.1016/j.mbs.2025.109531