嵌合抗原受体
医学
系统药理学
免疫系统
药品
翻译(生物学)
药理学
计算生物学
免疫疗法
免疫学
生物
生物化学
信使核糖核酸
基因
作者
Daniel C. Kirouac,Cole Zmurchok,Denise Morris
标识
DOI:10.1038/s41540-024-00355-3
摘要
Abstract Engineered T cells have emerged as highly effective treatments for hematological cancers. Hundreds of clinical programs are underway in efforts to expand the efficacy, safety, and applications of this immuno-therapeutic modality. A primary challenge in developing these “living drugs” is the complexity of their pharmacology, as the drug product proliferates, differentiates, traffics between tissues, and evolves through interactions with patient immune systems. Using publicly available clinical data from Chimeric Antigen Receptor (CAR) T cells, we demonstrate how mathematical models can be used to quantify the relationships between product characteristics, patient physiology, pharmacokinetics and clinical outcomes. As scientists work to develop next-generation cell therapy products, mathematical models will be integral for contextualizing data and facilitating the translation of product designs to clinical strategy.
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