已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

786 Dose selection for DuoBody®-PD-L1×4-1BB (GEN1046) using a semimechanistic pharmacokinetics/pharmacodynamics model that leverages preclinical and clinical data

药效学 T细胞 三聚体 药代动力学 抗体 药理学 免疫疗法 免疫系统 医学 癌症研究 化学 免疫学 有机化学 二聚体
作者
Gaurav Bajaj,Fereshteh Nazari,Marc Presler,Craig J. Thalhauser,Ulf Forssmann,Maria Jure‐Kunkel,Alexander Muik,Eleni Lagkadinou,Özlem Türeci,Uğur Şahin,Tahamtan Ahmadi,Manish Gupta
出处
期刊: 卷期号:: A821-A821 被引量:3
标识
DOI:10.1136/jitc-2021-sitc2021.786
摘要

Background

DuoBody-PD-L1×4-1BB (GEN1046) is a class-defining bispecific antibody, designed to elicit an anti-tumor immune response by simultaneous and complementary blockade of PD-L1 on tumor cells and conditional stimulation of 4-1BB on T-cells and NK cells. Optimizing target engagement for a bispecific antibody is challenging, as it involves binding with two targets, and predicting trimer levels in tumors based on affinity of individual arms and target expression. Here we describe a semimechanistic, physiologically based pharmacokinetic/pharmacodynamic (PK/PD) model that predicts a dosing regimen for DuoBody-PD-L1×4-1BB, which results in the formation of maximum levels of a therapeutically active 4-1BB-bispecific antibody-PD-L1 trimolecular complex (trimer), and optimal PD-L1 receptor occupancy (RO).

Methods

An integrated semimechanistic PK/PD model that describes the distribution of DuoBody-PD-L1×4-1BB into central and peripheral compartments and partitioning into tumor/lymph nodes was developed. The model used PK/PD data and physiological parameters from the literature for parameterizations of PD-L1 and 4-1BB expression levels and T-cell trafficking. The model incorporates dynamic binding of DuoBody-PD-L1×4-1BB to its targets to predict trimer formation and RO for PD-L1 in tumors. Model parameters were calibrated to match in vitro PD studies, such as analyses of T-cell proliferation and cytokine release, as well as clinical PK data. Sensitivity to model assumptions were assessed by varying PK/PD parameters, and assessing their impact on trimer formation and PD-L1 RO. The model was subsequently used to explore in vivo trimer levels and PD-L1 RO in tumors at various dosing regimens.

Results

The model was able to adequately describe the PK of DuoBody-PD-L1×4-1BB in the central compartment. Simulations showed a bell-shaped response for average trimer levels in tumors that peaked at 100 mg every 3 weeks (Q3W), with doses >100 mg resulting in reduced trimer formation. Average PD-L1 receptor occupancy at the 100 mg dose was predicted to be approximately 70% over 21 days and increased at higher doses. Based on these model predictions, and available safety, anti-tumor activity, and PD data from the ongoing GCT1046-01 trial (NCT03917381), 100 mg Q3W was chosen as the expansion dose for further evaluation in Part 2 of the study.

Conclusions

This semimechanistic PK/PD model provides a novel approach for dose selection of bispecific antibodies such as DuoBody-PD-L1×4-1BB, by using preclinical and clinical PK/PD data to predict formation of optimal trimer levels and PD-L1 receptor occupancy.

Acknowledgements

The authors thank Friederike Gieseke and Zuzana Jirakova at BioNTech SE; Kalyanasundaram Subramanian at Applied Biomath LLC for their valuable contributions.

Trial Registration

Written informed consent, in accordance with principles that originated in the Declaration of Helsinki 2013, current ICH guidelines including ICH-GCP E6(R2), applicable regulatory requirements, and sponsor policy, was provided by the patients.

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
初景应助小蘑菇采纳,获得20
1秒前
思源应助小蘑菇采纳,获得10
1秒前
molihuakai应助小蘑菇采纳,获得30
1秒前
英俊的铭应助小蘑菇采纳,获得10
2秒前
jin应助小蘑菇采纳,获得10
2秒前
打打应助小蘑菇采纳,获得10
2秒前
小巧友易完成签到,获得积分10
2秒前
cnspower应助吃甘薯的小白采纳,获得30
2秒前
3秒前
丘比特应助袁田采纳,获得10
4秒前
TACCAT完成签到,获得积分10
4秒前
Friday完成签到,获得积分10
4秒前
ding应助清梦星河采纳,获得10
5秒前
甜甜完成签到,获得积分10
6秒前
6秒前
6秒前
大个应助qianru采纳,获得10
8秒前
8秒前
思源应助hyc采纳,获得10
8秒前
多年以后发布了新的文献求助10
8秒前
科研通AI6.4应助超超采纳,获得10
9秒前
李健应助吃了就睡采纳,获得10
9秒前
柚子完成签到,获得积分10
11秒前
11秒前
yanlingzhai发布了新的文献求助10
12秒前
山之南发布了新的文献求助10
13秒前
失眠的科研g完成签到,获得积分10
13秒前
QSK完成签到,获得积分10
14秒前
wdl发布了新的文献求助10
14秒前
hu完成签到 ,获得积分10
15秒前
领导范儿应助100采纳,获得10
16秒前
尊敬的晓绿完成签到 ,获得积分10
17秒前
18秒前
Zea完成签到,获得积分10
19秒前
今后应助Jonathan采纳,获得10
19秒前
舒适的秋尽完成签到,获得积分10
20秒前
甜甜发布了新的文献求助20
21秒前
科研通AI6.3应助idiot采纳,获得10
22秒前
科研通AI6.4应助77采纳,获得30
22秒前
清新的小萱应助袁田采纳,获得10
22秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7280846
求助须知:如何正确求助?哪些是违规求助? 8901935
关于积分的说明 18830699
捐赠科研通 6952691
什么是DOI,文献DOI怎么找? 3207462
关于科研通互助平台的介绍 2377684
邀请新用户注册赠送积分活动 2182579