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在乳腺癌中瘤免疫相互作用的数学建模

Haifeng Zhang¹, Chenghang Li²

¹School of Mathematical Sciences, Jiangsu University, Zhenjiang, 212013, China.

Journal of theoretical biology

|November 10, 2025

概括

数学模型显示,平衡免疫细胞是控制乳腺癌的关键. 优化CD8+T细胞治疗,而不仅仅是剂量,显著提高瘤减少,以获得更好的患者结果.

科学领域:

免疫学免疫学免疫学
数学生物学数学生物学
在瘤学瘤学.

背景情况:

瘤-免疫相互作用对乳腺癌的进展至关重要.
了解这些动态对于有效的治疗策略至关重要.

研究的目的:

开发一个模拟乳腺癌-免疫细胞动态的数学模型.
为了确定瘤控制和免疫逃脱的条件.
优化乳腺癌治疗的治疗策略.

主要方法:

开发了结合瘤细胞和关键免疫细胞 (树突细胞,NK细胞,Tregs,CD8+ T细胞) 的数学模型.
进行分析稳定性分析和数值模拟.
利用分支分析和适应性治疗设计的最佳控制理论.

主要成果:

确定了无瘤平衡和瘤免疫细胞共存的条件.
证明高CD8+T细胞前体和低调控性T细胞前体促进瘤控制.
揭示了双稳定性疗法,表明可能出现不同的临床结果.
展示了适应性CD8+T细胞注射协议在减少瘤方面优于常量剂量.

结论:

在瘤微环境中平衡支持和反对瘤的免疫力至关重要.
CD8+ T 细胞透对于瘤控制至关重要,而调节性 T 细胞预测免疫逃生.
优化适应性T细胞疗法为个性化乳腺癌治疗提供了一个有前途的途径.

关键词:

乳腺癌乳腺癌乳腺癌数学模型是一个数学模型.数字模拟数字模拟最佳的控制控制是最好的控制.灵敏度分析是一种灵敏度分析.

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