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模拟 CAR-T 细胞-肿瘤细胞相互作用过程中信号特征的演变

英文原题：Simulating the Evolution of Signaling Signatures during CART-Cell - Tumor Cell Interactions.

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Simulating the Evolution of Signaling Signatures during CART-Cell - Tumor Cell Interactions.

PubMed 2023/02/08（内容时间） ArXiv

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技术：CAR-T地区：美国
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中文摘要

免疫疗法已证实在癌症治疗中具有显著疗效。过去十年，CAR-T 细胞（CAR-T 细胞）等过继细胞疗法获FDA批准用于特定癌症。此外，多项临床试验正在研究其他设计和靶点。尽管CAR-T 细胞疗法令人振奋且潜力巨大，但不同研究、患者和癌种的治疗缓解率差异很大。目前亟需开发计算框架，以更准确预测CAR-T 细胞功能和临床疗效。本文提出一种基于逻辑规则模拟的粗粒度模型，展示CAR-T 细胞与肿瘤细胞相互作用后信号特征的演变，并可在实验前基于计算预测CAR-T 细胞功能。

展开英文摘要原文

Immunotherapies have been proven to have significant therapeutic efficacy in the treatment of cancer. The last decade has seen adoptive cell therapies, such as chimeric antigen receptor T-cell (CART-cell) therapy, gain FDA approval against specific cancers.

Additionally, there are numerous clinical trials ongoing investigating additional designs and targets. Nevertheless, despite the excitement and promising potential of CART-cell therapy, response rates to therapy vary greatly between studies, patients, and cancers. There remains an unmet need to develop computational frameworks that more accurately predict CART-cell function and clinical efficacy.

Here we present a coarse-grained model simulated with logical rules that demonstrates the evolution of signaling signatures following the interaction between CART-cells and tumor cells and allows for in silico based prediction of CART-cell functionality prior to experimentation.

论文信息

作者
Shah V、Womack J、Zamora AE、Terhune SS、Dash RK
单位
Medical College of Wisconsin.
文献类型
预印本
期刊
ArXiv2023 Feb 8
原文标识
PubMed 36798455

在 PubMed 查看 → 治疗专题与资料阅读指南 资料来源与翻译说明 报告译文或资料问题 →