开创癌症免疫治疗的未来:通过计算建模的合成免疫学的新时代。

IF 1.1 Q4 MEDICINE, RESEARCH & EXPERIMENTAL
Taisuke Kondo
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引用次数: 0

摘要

嵌合抗原受体(CAR) t细胞免疫疗法已经彻底改变了血液系统恶性肿瘤的治疗。然而,由于特异性差和对健康组织的潜在毒性,其在实体肿瘤中的应用一直受到阻碍。为了解决这些限制,我们开发了一种综合方法,将高通量机器人平台与数学建模相结合,系统地评估和优化t细胞功能。这种新颖的方法使我们能够发现CAR - t细胞中以前未知的信号串扰,从而开发出优化的CAR设计。我们的增强型CAR -t细胞平台显示出显著提高的抗肿瘤活性,同时最大限度地减少对健康组织的毒性。这些发现突出了计算建模在模拟免疫细胞行为方面的力量,并为设计更精确和有效的癌症免疫疗法提供了一个强大的框架。(2024年12月6日,2015年会议上提出)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pioneering the Future of Cancer Immunotherapy: A New Era of Synthetic Immunology through Computational Modeling.

Chimeric Antigen Receptor (CAR) T-cell immunotherapy has revolutionized the treatment of hematological malignancies. However, its application to solid tumors has been hindered by poor specificity and potential toxicity to healthy tissues. To address these limitations, we developed an integrated approach combining a high-throughput robotic platform with mathematical modeling to systematically evaluate and optimize T-cell function. This novel approach enabled us to uncover previously unknown signaling crosstalk within CAR T-cells, leading to the development of an optimized CAR design. Our enhanced CAR T-cell platform demonstrates significantly improved anti-tumor activity while minimizing toxicity to healthy tissues. These findings highlight the power of computational modeling in simulating immune cell behaviors and provide a robust framework for designing more precise and effective cancer immunotherapies. (Presented at the 2015th Meeting, December 6th, 2024).

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来源期刊
KEIO JOURNAL OF MEDICINE
KEIO JOURNAL OF MEDICINE MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
3.10
自引率
0.00%
发文量
23
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