CAR-T(CAR-T)细胞疗法在非肿瘤性疾病中的应用
Chimeric antigen receptor T (CAR-T) cell therapy in non-oncological diseases.
CAR-T(CAR-T)细胞在血液系统恶性肿瘤中的应用推动了这种免疫治疗形式的显著进展。
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Optimal therapy schedule of chimeric antigen receptor (CAR) T cell immunotherapy.
Optimal therapy schedule of chimeric antigen receptor (CAR) T cell immunotherapy.
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嵌合抗原受体(CAR)T细胞疗法是一种个性化免疫治疗方法,通过基因工程改造患者的T细胞,使其表达能够特异性识别和靶向肿瘤相关抗原的合成受体。该方法通过将CAR-T 细胞导向CD19蛋白,在治疗B细胞恶性肿瘤方面已取得显著成功。然而,治疗效果受到输注给患者的CAR-T 细胞亚群组成和分布的影响。为研究不同CAR-T 细胞亚型和输注策略的影响,我们开发了一个数学模型,用以捕捉肿瘤免疫微环境中肿瘤细胞与CAR-T 细胞之间的动态相互作用。通过计算模拟,我们探索了改变输注CAR-T 细胞的剂量和亚型比例如何影响肿瘤动态和治疗结局。我们的研究结果凸显了CAR-T 细胞亚群组成在优化治疗效果中的关键作用,强调了精确剂量控制和定制输注策略以最大化治疗成功的必要性。
Chimeric antigen receptor (CAR) T-cell therapy is a personalized immunotherapy approach in which a patient's T cells are genetically engineered to express synthetic receptors that specifically recognize and target tumor-associated antigens. This approach has demonstrated remarkable success in treating B-cell malignancies by directing CAR-T cells against the CD19 protein.
However, treatment efficacy is influenced by the composition and distribution of CAR-T cell subsets administered to the patient. To investigate the impact of different CAR-T cell subtypes and infusion strategies, we developed a mathematical model that captures the dynamic interactions between tumor cells and CAR-T cells within the tumor immune microenvironment. Through computational simulations, we explored how varying the dosage and subtype proportions of infused CAR-T cells affects tumor dynamics and therapeutic outcomes.
Our findings highlight the critical role of CAR-T cell subset composition in optimizing treatment efficacy, underscoring the necessity of precise dosing control and tailored infused strategies to maximize therapeutic success.
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