Foundational Principles for the Quantitative Translation of T-Cell Therapeutics for Hematologic Malignancies and Immunology.

IF 5.5 2区 医学 Q1 PHARMACOLOGY & PHARMACY
Peter Ashcroft, Sarah McFann, Alex Ferguson, Arthur Van De Vyver, Suzanne Gaudet, Eshita Khera, Jan-Frederik Schlender
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引用次数: 0

Abstract

T-cell engaging antibodies (TCEs) and chimeric antigen receptor (CAR) T cells (CAR-T cells) are among precision medicine therapies that have revolutionized the treatment of hematologic cancers. Their success in oncology has piqued interest in translating this promise into additional indications, such as autoimmune disorders. This review discusses the foundational principles for mechanistic modeling to provide a unified assessment framework for cross-modality (i.e., CAR-T cells vs. TCEs) and cross-indication (i.e., oncology vs. immunology) translation. This framework captures the unique elements of each modality, such as CAR-T cellular kinetics, TCE pharmacokinetics, and complex formation with target cells, as well as shared elements such as B-cell kinetics and biodistribution across indications. We describe how this integrated approach can lead to informed decision making for more personalized and effective treatment strategies with these immune therapies.

t细胞治疗血液恶性肿瘤和免疫学定量翻译的基本原则。
T细胞结合抗体(TCEs)和嵌合抗原受体(CAR) T细胞(CAR-T细胞)是精确医学疗法中的两种,它们彻底改变了血液病的治疗。他们在肿瘤学上的成功激起了人们将这一前景转化为其他适应症的兴趣,比如自身免疫性疾病。本文讨论了机制建模的基本原则,为跨模态(即CAR-T细胞与TCEs)和交叉适应症(即肿瘤学与免疫学)翻译提供统一的评估框架。该框架捕获了每种模式的独特元素,如CAR-T细胞动力学、TCE药代动力学和与靶细胞的复合物形成,以及b细胞动力学和跨适应症的生物分布等共享元素。我们描述了这种综合方法如何通过这些免疫疗法导致更个性化和有效的治疗策略的知情决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
12.70
自引率
7.50%
发文量
290
审稿时长
2 months
期刊介绍: Clinical Pharmacology & Therapeutics (CPT) is the authoritative cross-disciplinary journal in experimental and clinical medicine devoted to publishing advances in the nature, action, efficacy, and evaluation of therapeutics. CPT welcomes original Articles in the emerging areas of translational, predictive and personalized medicine; new therapeutic modalities including gene and cell therapies; pharmacogenomics, proteomics and metabolomics; bioinformation and applied systems biology complementing areas of pharmacokinetics and pharmacodynamics, human investigation and clinical trials, pharmacovigilence, pharmacoepidemiology, pharmacometrics, and population pharmacology.
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