细胞因子
启动(农业)
免疫疗法
癌症免疫疗法
白细胞介素15
癌症研究
淋巴因子激活杀伤细胞
细胞毒性T细胞
白细胞介素21
自然杀伤细胞
细胞生物学
免疫学
T细胞
免疫系统
生物
白细胞介素
体外
生物化学
植物
发芽
作者
Rosalba Biondo,Indrani Nayak,Nina Möker,Congcong Zhang,William C. Stewart,Salim I. Khakoo,Jayajit Das
标识
DOI:10.1101/2024.01.26.577405
摘要
Abstract Natural killer (NK) cells are currently in use as immunotherapeutic agents for cancer. Many different cytokines are used to generate NK cells including IL-2, IL-12, IL-15 and IL-18 in solution and membrane bound IL-21. These cytokines drive NK cell activation through the integration of STAT and NF-κB pathways, which overlap and synergize, making it challenging to predict optimal cytokine combinations. We integrated functional assays for NK cells cultured in a variety of cytokine combinations with feature selection and mechanistic regression models. Our regression model successfully predicts NK cell proliferation for different cytokine combinations and indicates synergy between STAT3 and NF-κB transcription factors. Use of IL-21 in solution in the priming, but not post-priming phase of NK cell culture resulted in optimal NK cell proliferation, without compromising cytotoxicity or IFN-γ secretion against hepatocellular carcinoma cell lines. Our work provides a mathematical framework for interrogating NK cell activation for cancer immunotherapy.
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