Bioanalytical Methods for Characterization of CAR‐T Cellular Kinetics: Comparison of PCR Assays and Matrices

CD19 流式细胞术 分子生物学 实时聚合酶链反应 聚合酶链反应 化学 计算生物学 生物 基因 遗传学
作者
Madhan Masilamani,Vibha Jawa,Yan‐Shan Dai,Romita Das,Alice Park,Manisha Lamba,Fan Wu,Xirong Zheng,Edwin Lu,Carol Gleason,Tim Mack,Johanna Mora,Sekhar Surapaneni
出处
期刊:Clinical Pharmacology & Therapeutics [Wiley]
卷期号:114 (3): 664-672 被引量:5
标识
DOI:10.1002/cpt.2991
摘要

Recently, multiple chimeric antigen receptor T-cell (CAR-T)-based therapies have been approved for treating hematological malignancies, targeting CD19 and B-cell maturation antigen. Unlike protein or antibody therapies, CAR-T therapies are "living cell" therapies whose pharmacokinetics are characterized by expansion, distribution, contraction, and persistence. Therefore, this unique modality requires a different approach for quantitation compared with conventional ligand binding assays implemented for most biologics. Cellular (flow cytometry) or molecular assays (polymerase chain reaction (PCR)) can be deployed with each having unique advantages and disadvantages. In this article, we describe the molecular assays utilized: quantitative PCR (qPCR), which was the initial platform used to estimate transgene copy numbers and more recently droplet digital PCR (ddPCR) which quantitates the absolute copy numbers of CAR transgene. The comparability of the two methods in patient samples and of each method across different matrices (isolated CD3+ T-cells or whole blood) was also performed. The results show a good correlation between qPCR and ddPCR for the amplification of same gene in clinical samples from a CAR-T therapy trial. In addition, our studies show that the qPCR-based amplification of transgene levels was well-correlated, independent of DNA sources (either CD3+ T-cells or whole blood). Our results also highlight that ddPCR can be a better platform for monitoring samples at the early phase of CAR-T dosing prior to expansion and during long-term monitoring as they can detect samples with very low copy numbers with high sensitivity, in addition to easier implementation and sample logistics.
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
deathmask完成签到 ,获得积分10
刚刚
老实志泽完成签到,获得积分20
1秒前
1秒前
1秒前
1秒前
hata完成签到,获得积分10
1秒前
Pangsj完成签到,获得积分10
2秒前
2秒前
青蛙旅行完成签到 ,获得积分10
2秒前
FashionBoy应助科研通管家采纳,获得10
2秒前
小蘑菇应助科研通管家采纳,获得10
2秒前
小马甲应助科研通管家采纳,获得10
2秒前
Orange应助科研通管家采纳,获得10
3秒前
小马甲应助mimi采纳,获得10
3秒前
科研通AI2S应助科研通管家采纳,获得10
3秒前
英姑应助科研通管家采纳,获得10
3秒前
雪白问兰应助科研通管家采纳,获得30
3秒前
汉堡包应助科研通管家采纳,获得10
3秒前
zzzzzz应助科研通管家采纳,获得20
3秒前
3秒前
爆米花应助科研通管家采纳,获得10
3秒前
sidegate应助科研通管家采纳,获得10
3秒前
prosperp应助科研通管家采纳,获得10
3秒前
香蕉觅云应助科研通管家采纳,获得10
3秒前
li完成签到,获得积分10
3秒前
3秒前
mlml完成签到,获得积分10
3秒前
orixero应助科研通管家采纳,获得10
3秒前
科研通AI5应助科研通管家采纳,获得10
3秒前
小马甲应助科研通管家采纳,获得10
3秒前
Hello应助科研通管家采纳,获得10
3秒前
Zn应助科研通管家采纳,获得10
3秒前
NexusExplorer应助科研通管家采纳,获得10
3秒前
充电宝应助科研通管家采纳,获得10
3秒前
Jasper应助科研通管家采纳,获得10
3秒前
Zn应助科研通管家采纳,获得10
3秒前
慕青应助科研通管家采纳,获得10
4秒前
所所应助科研通管家采纳,获得10
4秒前
烟花应助科研通管家采纳,获得10
4秒前
烟花应助科研通管家采纳,获得10
4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 3527304
求助须知:如何正确求助?哪些是违规求助? 3107454
关于积分的说明 9285518
捐赠科研通 2805269
什么是DOI,文献DOI怎么找? 1539827
邀请新用户注册赠送积分活动 716708
科研通“疑难数据库(出版商)”最低求助积分说明 709672