Long-term follow-up after authorization of gene therapy: leveraging real-world data.

IF 6.5 2区 医学 Q1 PHARMACOLOGY & PHARMACY Drug Discovery Today Pub Date : 2025-03-19 DOI:10.1016/j.drudis.2025.104337
Karin de Haart, Keiko Asao, Quazi Ataher, Jamie Geier, Jodie Hillen, Kui Huang, Peter G M Mol, Donna Rivera, Huifen Wang, Hong Yang, Siyan Zhan, Wilhelmina E Hoogendoorn, Lourens T Bloem
{"title":"Long-term follow-up after authorization of gene therapy: leveraging real-world data.","authors":"Karin de Haart, Keiko Asao, Quazi Ataher, Jamie Geier, Jodie Hillen, Kui Huang, Peter G M Mol, Donna Rivera, Huifen Wang, Hong Yang, Siyan Zhan, Wilhelmina E Hoogendoorn, Lourens T Bloem","doi":"10.1016/j.drudis.2025.104337","DOIUrl":null,"url":null,"abstract":"<p><p>Gene therapies are innovative treatments that could revolutionize healthcare. Given their unique mechanisms of action, methods of manufacturing and administration, and the potential for long-lasting impact, gene therapies require long-term follow-up (LTFU) of safety and effectiveness post authorization, often using real-world data (RWD). With over 2000 gene therapies in development, there is a need for knowledge-building regarding LTFU studies. Here, we review regulatory, scientific, and operational requirements and considerations for LTFU studies using RWD from a global perspective. The insights in this review support post-authorization LTFU studies for gene therapies, thereby contributing to their safe and effective use.</p>","PeriodicalId":301,"journal":{"name":"Drug Discovery Today","volume":" ","pages":"104337"},"PeriodicalIF":6.5000,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drug Discovery Today","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.drudis.2025.104337","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0

Abstract

Gene therapies are innovative treatments that could revolutionize healthcare. Given their unique mechanisms of action, methods of manufacturing and administration, and the potential for long-lasting impact, gene therapies require long-term follow-up (LTFU) of safety and effectiveness post authorization, often using real-world data (RWD). With over 2000 gene therapies in development, there is a need for knowledge-building regarding LTFU studies. Here, we review regulatory, scientific, and operational requirements and considerations for LTFU studies using RWD from a global perspective. The insights in this review support post-authorization LTFU studies for gene therapies, thereby contributing to their safe and effective use.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基因疗法是可以彻底改变医疗保健的创新疗法。鉴于其独特的作用机制、制造和给药方法以及产生长期影响的潜力,基因疗法在获得授权后需要对其安全性和有效性进行长期跟踪(LTFU),通常需要使用真实世界数据(RWD)。目前有 2000 多种基因疗法正在开发中,因此需要对 LTFU 研究进行知识积累。在此,我们从全球角度回顾了使用真实世界数据进行 LTFU 研究的监管、科学和操作要求及注意事项。本综述中的见解可为基因疗法的授权后 LTFU 研究提供支持,从而有助于安全有效地使用基因疗法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Drug Discovery Today
Drug Discovery Today 医学-药学
CiteScore
14.80
自引率
2.70%
发文量
293
审稿时长
6 months
期刊介绍: Drug Discovery Today delivers informed and highly current reviews for the discovery community. The magazine addresses not only the rapid scientific developments in drug discovery associated technologies but also the management, commercial and regulatory issues that increasingly play a part in how R&D is planned, structured and executed. Features include comment by international experts, news and analysis of important developments, reviews of key scientific and strategic issues, overviews of recent progress in specific therapeutic areas and conference reports.
期刊最新文献
Emerging role of deubiquitinases in modulating cancer chemoresistance. Long-term follow-up after authorization of gene therapy: leveraging real-world data. Tubulin targeting agents and their implications in non-cancer disease management. Artificial intelligence in anti-obesity drug discovery: unlocking next-generation therapeutics. Corrigendum to "Benchmarking R&D success rates of leading pharmaceutical companies: an empirical analysis of FDA approvals (2006-2022)" [Drug Discov. Today 30(2) (2025) 104291].
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1