Mechanistic Projection of First‐in‐Human Dose for Bispecific Immunomodulatory P‐Cadherin LP‐DART: An Integrated PK/PD Modeling Approach

免疫系统 药效学 投掷 双特异性抗体 药品 药理学 计算生物学 药代动力学 化学 受体 分子药理学 医学 癌症研究 生物 计算机科学 免疫学 生物化学 抗体 程序设计语言 单克隆抗体
作者
Xiaohong Chen,Nahor Haddish‐Berhane,Paul A. Moore,T Clark,Yongqiang Yang,H Li,Dawei Xuan,Hugh A. Barton,Betts Am,Frank Barletta
出处
期刊:Clinical Pharmacology & Therapeutics [Wiley]
卷期号:100 (3): 232-241 被引量:42
标识
DOI:10.1002/cpt.393
摘要

A bispecific immunomodulatory biotherapeutic molecule (P‐cadherin LP‐DART) based on the Dual Affinity Re‐Targeting (DART) scaffold has been developed as a potential antitumor treatment showing efficacy in preclinical testing. A minimal anticipated biological effect level (MABEL) approach was applied to project the first‐in‐human (FIH) dose, because of its immune agonistic properties following target engagement. The pharmacological activity of P‐cadherin LP‐DART is driven by binding to both P‐cadherin on the tumor cells and CD3 on T cells. Therefore, the concentration of the tri‐molecular synapse formed between drug, T cell, and tumor cell, rather than drug concentration, is responsible for efficacy. A mechanistic pharmacokinetic/pharmacodynamic (PK/PD)‐driven approach was explored to understand the exposure–response relationship based on the synapse concentration to project the MABEL dose. Orthogonal approaches including PK‐driven and receptor occupancy calculations were also investigated. This study showcases the application of PK/PD modeling in immune‐oncology, and could potentially be implemented for other bispecific biotherapeutics .
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
医学僧发布了新的文献求助30
刚刚
Sheila完成签到 ,获得积分10
刚刚
sweetbearm应助科研通管家采纳,获得10
刚刚
Hello应助科研通管家采纳,获得10
刚刚
NN应助科研通管家采纳,获得10
刚刚
1秒前
英姑应助科研通管家采纳,获得10
1秒前
36456657应助科研通管家采纳,获得10
1秒前
打打应助科研通管家采纳,获得10
1秒前
prosperp应助科研通管家采纳,获得20
1秒前
打打应助科研通管家采纳,获得10
1秒前
大个应助科研通管家采纳,获得10
1秒前
Akim应助科研通管家采纳,获得10
1秒前
科研通AI5应助科研通管家采纳,获得10
1秒前
爆米花应助科研通管家采纳,获得10
2秒前
2秒前
赘婿应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
执着夏岚完成签到 ,获得积分10
2秒前
CipherSage应助苏州小北采纳,获得10
2秒前
www完成签到,获得积分20
3秒前
汉关发布了新的文献求助10
3秒前
4秒前
4秒前
4秒前
4秒前
4秒前
lixiangrui110发布了新的文献求助10
5秒前
善学以致用应助楚岸采纳,获得10
6秒前
cilan发布了新的文献求助10
6秒前
6秒前
卡卡发布了新的文献求助10
7秒前
7秒前
8秒前
8秒前
8秒前
李李完成签到,获得积分10
8秒前
静静子发布了新的文献求助10
8秒前
fy207完成签到,获得积分10
9秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527928
求助须知:如何正确求助?哪些是违规求助? 3108040
关于积分的说明 9287614
捐赠科研通 2805836
什么是DOI,文献DOI怎么找? 1540070
邀请新用户注册赠送积分活动 716904
科研通“疑难数据库(出版商)”最低求助积分说明 709808