Dosing Strategies and Quantitative Clinical Pharmacology for Bispecific T-Cell Engagers Development in Oncology

被引:4
|
作者
Elmeliegy, Mohamed [1 ]
Chen, Joseph [2 ]
Dontabhaktuni, Aruna [3 ]
Gaudy, Allison [4 ]
Kapitanov, Georgi I. [5 ]
Li, Junyi [2 ]
Mim, Sabiha R. [3 ]
Sharma, Sharad [6 ]
Sun, Qin [7 ]
Ait-Oudhia, Sihem [8 ]
机构
[1] Pfizer Inc, Oncol Res & Dev, San Diego, CA USA
[2] Genentech Inc, South San Francisco, CA 94080 USA
[3] PharmaPro Consulting Inc, Hillsborough, NJ USA
[4] Bristol Myers Squibb, Princeton, NJ USA
[5] Appl BioMath LLC, Concord, MA USA
[6] Boehringer Ingelheim Pharmaceut Inc, Ridgefield, CT USA
[7] US FDA, Ctr Drug Evaluat & Res, Off Clin Pharmacol, Off Translat Sci, Silver Spring, MD USA
[8] Merck & Co Inc, Quantitat Pharmacol & Pharmacometr QP2, Rahway, NJ 07065 USA
关键词
NON-HODGKIN-LYMPHOMA; SUBCUTANEOUS EPCORITAMAB; PHASE-I; RISK; MOSUNETUZUMAB; OPTIMIZATION; SELECTION; MITIGATE; CRS;
D O I
10.1002/cpt.3361
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Bispecific T-cell Engagers (TCEs) are promising anti-cancer treatments that bind to both the CD3 receptors on T cells and an antigen on the surface of tumor cells, creating an immune synapse, leading to killing of malignant tumor cells. These novel therapies have unique development challenges, with specific safety risks of cytokine release syndrome. These on-target adverse events fortunately can be mitigated and deconvoluted from efficacy via innovative dosing strategies, making clinical pharmacology key in the development of these therapies. This review assesses dose selection and the role of quantitative clinical pharmacology in the development of the first eight approved TCEs. Model informed drug development (MIDD) strategies can be used at every stage to guide TCE development. Mechanistic modeling approaches allow for (1) efficacious yet safe first-in-human dose selection as compared with in vitro minimum anticipated biological effect level (MABEL) approach; (2) rapid escalation and reducing number of patients with subtherapeutic doses through model-based adaptive design; (3) virtual testing of different step-up dosing regimens that may not be feasible to be evaluated in the clinic; and (4) selection and justification of the optimal clinical step-up and full treatment doses. As the knowledge base around TCEs continues to grow, the relevance and utilization of MIDD strategies for supporting the development and dose optimization of these molecules are expected to advance, optimizing the benefit-risk profile for cancer patients.
引用
收藏
页码:637 / 646
页数:10
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