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免疫反调节的数学建模预测分次 CD8(+) T 细胞给药策略的疗效

英文原题:Mathematical modeling of immune counter-regulation predicts efficacy of fractionated CD8(+) T cell dosing strategies.

查看英文原题

Mathematical modeling of immune counter-regulation predicts efficacy of fractionated CD8(+) T cell dosing strategies.

PubMed 2026/04/30(内容时间) Sci Rep Q1 · IF 4.9(JCR 2025)

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中文摘要

采用肿瘤特异性CD8+ T细胞(TSTs)的过继细胞治疗(ACT)可诱导肿瘤消退,但在实体瘤中很少实现持久缓解。这一局限性源于ACT同时诱导的次级反向调控机制,尤其是肿瘤浸润髓系细胞(TIMs)的募集。然而,这些反应的确切动态变化以及克服其免疫抑制的最佳TST给药策略在很大程度上仍不清楚。在此,我们建立了一个纳入TIM驱动反向调控的ACT数学模型,并基于B16F10黑色素瘤荷瘤小鼠的数据模拟了替代性TST给药策略。我们的模型显示,与单次给药策略相比,分次给药和反应引导给药策略在减少约40% TST用量的同时,将肿瘤负荷最多降低83%。转录组分析支持了这些结果,显示ACT诱导的TIMs最初表现出促炎特征,但随后转变为抑制状态,提示分次TST给药可反复诱导其刺激潜能。总之,我们的发现推进了对ACT反向调控机制的理解,并凸显了分次给药作为克服这些机制的合理策略的潜力。

展开英文摘要原文

Adoptive cell therapy (ACT) with tumor-specific CD8 + T cells (TSTs) induces tumor regression but rarely achieves durable responses in solid tumors. This limitation stems from secondary counter-regulatory mechanisms that are also induced by ACT, notably the recruitment of tumor-infiltrating myeloid cells (TIMs).

However, the precise dynamics of these responses and the optimal TST dosing strategies to overcome their immunosuppression remain largely unclear.

Here, we developed a mathematical model of ACT incorporating TIM-driven counter-regulation and simulated alternative TST dosing strategies based on data from B16F10 melanoma-bearing mice.

Our models revealed that, compared with a single administration strategy, fractionated and response-guided dosing strategies reduced tumor burden by up to 83% while using about 40% fewer TSTs. These results were supported by transcriptomic analysis showing that ACT-induced TIMs initially exhibited pro-inflammatory traits but later shifted into suppressive states, suggesting that fractionated TST dosing could repeatedly induce their stimulatory potential.

Together, our findings advance understanding of counter-regulatory mechanisms in ACT and highlight the potential of fractionated dosing as a rational strategy to overcome them.

论文信息

作者
Kasai H、Nagaoka K、Lysenko A、Kakimi K、Tsunoda T
第一作者单位
Laboratory for Medical Science Mathematics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, 113-0033, Japan.Japan
通讯作者单位
Laboratory for Medical Science Mathematics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, 113-0033, Japan. tsunoda@bs.s.u-tokyo.ac.jp.Japan
期刊
Scientific reports2026 Apr 30
原文标识
PubMed 42062426 · DOI 10.1038/s41598-026-50922-3