Physiologically Based Pharmacokinetic Modeling in Pediatric Oncology Drug Development

基于生理学的药代动力学模型 医学 药物开发 加药 药理学 药品 人口 小儿癌症 临床试验 药代动力学 重症监护医学 肿瘤科 癌症 内科学 环境卫生
作者
Nathalie Rioux,Nigel J. Waters
出处
期刊:Drug Metabolism and Disposition [American Society for Pharmacology and Experimental Therapeutics]
卷期号:44 (7): 934-943 被引量:29
标识
DOI:10.1124/dmd.115.068031
摘要

Childhood cancer represents more than 100 rare and ultra-rare diseases, with an estimated 12,400 new cases diagnosed each year in the United States. As such, this much smaller patient population has led to pediatric oncology drug development lagging behind that for adult cancers. Developing drugs for pediatric malignancies also brings with it a number of unique trial design considerations, including flexible enrollment approaches, age-appropriate formulation, acceptable sampling schedules, and balancing the need for age-stratified dosing regimens, given the smaller patient populations. The regulatory landscape for pediatric pharmacotherapy has evolved with U.S. Food and Drug Administration (FDA) legislation such as the 2012 FDA Safety and Innovation Act. In parallel, regulatory authorities have recommended the application of physiologically based pharmacokinetic (PBPK) modeling, for example, in the recently issued FDA Strategic Plan for Accelerating the Development of Therapies for Pediatric Rare Diseases. PBPK modeling provides a quantitative and systems-based framework that allows the effects of intrinsic and extrinsic factors on drug exposure to be modeled in a mechanistic fashion. The application of PBPK modeling in drug development for pediatric cancers is relatively nascent, with several retrospective analyses of cytotoxic therapies, and latterly for targeted agents such as obatoclax and imatinib. More recently, we have employed PBPK modeling in a prospective manner to inform the first pediatric trials of pinometostat and tazemetostat in genetically defined populations (mixed lineage leukemia–rearranged and integrase interactor-1–deficient sarcomas, respectively). In this review, we evaluate the application of PBPK modeling in pediatric cancer drug development and discuss the important challenges that lie ahead in this field.
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
1秒前
JJJJJJJJJ完成签到,获得积分10
1秒前
大个应助静飞采纳,获得10
1秒前
丘比特应助沙糖桔采纳,获得10
1秒前
2秒前
乌托邦应助HIT_C采纳,获得20
2秒前
栖木发布了新的文献求助20
2秒前
斯文败类应助茸包采纳,获得10
3秒前
zpf完成签到,获得积分10
3秒前
炎坤完成签到,获得积分10
3秒前
3秒前
方俊驰发布了新的文献求助10
4秒前
鑫炜赵发布了新的文献求助10
4秒前
热心太英完成签到,获得积分20
4秒前
4秒前
5秒前
牛牛发布了新的文献求助10
6秒前
derrrrrsin发布了新的文献求助10
6秒前
威武初蓝完成签到,获得积分10
6秒前
6秒前
JJJJJJJJJ发布了新的文献求助30
8秒前
wuhuhu完成签到,获得积分10
8秒前
8秒前
Joey完成签到,获得积分10
8秒前
wrahb完成签到,获得积分10
8秒前
研知之发布了新的文献求助10
8秒前
9秒前
9秒前
10秒前
10秒前
samantha发布了新的文献求助10
10秒前
墨泊凉发布了新的文献求助10
10秒前
claude发布了新的文献求助10
11秒前
彩虹完成签到 ,获得积分10
11秒前
大个应助liu采纳,获得10
11秒前
NexusExplorer应助冷艳的半莲采纳,获得10
11秒前
11秒前
ohh完成签到,获得积分10
11秒前
光亮钢铁侠完成签到,获得积分10
11秒前
HappyDog发布了新的文献求助10
14秒前
高分求助中
(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
Rosenblum, Global Change Biology 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7773806
求助须知:如何正确求助?哪些是违规求助? 9315798
关于积分的说明 20347658
捐赠科研通 7359443
什么是DOI,文献DOI怎么找? 3317281
关于科研通互助平台的介绍 2465853
邀请新用户注册赠送积分活动 2332449