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

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.

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Publication Details

Journal
Scientific Reports
Published
2026-04-30
DOI
https://doi.org/10.1038/s41598-026-50922-3
Primary Topic
Mathematical Biology Tumor Growth
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Kazuhiro Kakimi, Koji Nagaoka, Tatsuhiko Tsunoda, Artem Lysenko et al.
Scientific Reports
Mathematical Biology Tumor Growth
article

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

Kazuhiro Kakimi, Koji Nagaoka, Tatsuhiko Tsunoda, Artem Lysenko, Hiroki Kasai
article en

Abstract

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.

Scientific Reports
Kindai University Sakai Hospital (JP), The University of Tokyo (JP), Kindai University (JP)
University of Tokyo, Japan Society for the Promotion of Science
Openalex Percentile: Top 10%
Mathematical Biology Tumor Growth
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