广东工业大学学报2026，Vol.43Issue(1)：40-48,9.DOI:10.12052/gdutxb.250006
EP4拮抗剂MF-766与抗PD-1联合治疗的肿瘤免疫调控模型研究
A Study of Tumor Immune Regulation Models of EP4 Antagonist MF-766 and Anti-PD-1 Combination Therapy
摘要
Abstract
In this study,a multi-scale mathematical model of the tumor immune microenvironment was developed,combined with experimental data from mouse models to investigate the regulatory mechanisms of combined therapy using the prostaglandin E2 receptor 4(EP4)antagonist MF-766 and anti-programmed cell death protein 1(anti-PD-1)on tumor immune microenvironment and tumor growth.The model quantitatively analyzed the dynamic changes in immunosuppressive cells,effector immune cells,and cytokines,revealing the synergistic effects of the combined therapy in reducing the concentration of myeloid-derived suppressor cells(MDSCs)and enhancing the function of effector immune cells.Experimental validation demonstrated that the model accurately described the dynamic changes in tumor volume and the immunomodulatory effects of the drugs.Furthermore,it revealed the nonlinear impact of drug dosage and dosing intervals on therapeutic efficacy.The simulation results not only deepened the understanding of the mechanisms of tumor metastasis but also provided a theoretical foundation for optimizing the dosage and dosing strategies of immunotherapy.This study lays a solid groundwork for the design and advancement of precision medicine.关键词
肿瘤免疫微环境/多尺度数学模型/MF-766/抗程序性细胞死亡蛋白1/免疫联合治疗Key words
tumor immune microenvironment/multi-scale mathematical model/MF-766/anti-programmed cell death protein 1(anti-PD-1)/immune combination therapy分类
数理科学引用本文复制引用
黄国晖,黄亚婷,王振友..EP4拮抗剂MF-766与抗PD-1联合治疗的肿瘤免疫调控模型研究[J].广东工业大学学报,2026,43(1):40-48,9.基金项目
广东省自然科学基金资助项目(2023A1515012891) （2023A1515012891）
