Dose Optimization in Oncology Drug Development: An International Consortium for Innovation and Quality in Pharmaceutical Development White Paper

药物开发 白皮书 质量(理念) 药品 白色(突变) 医学 肿瘤科 医学物理学 药理学 业务 政治学 生物 基因 认识论 哲学 法学 生物化学
作者
Divya Samineni,Karthik Venkatakrishnan,Ahmed A. Othman,Yazdi K. Pithavala,Srinivasu Poondru,Chirag J. Patel,Pavan Vaddady,Wendy Ankrom,Saroja Ramanujan,Nageshwar Budha,Michael C. Wu,Nahor Haddish‐Berhane,Holger Fritsch,Azher Hussain,Jitendra Kanodia,Meng Li,Mengyao Li,Murad Melhem,Apurvasena Parikh,Vijay Upreti
出处
期刊:Clinical Pharmacology & Therapeutics [Wiley]
卷期号:116 (3): 531-545 被引量:20
标识
DOI:10.1002/cpt.3298
摘要

The landscape of oncology drug development has witnessed remarkable advancements over the last few decades, significantly improving clinical outcomes and quality of life for patients with cancer. Project Optimus, introduced by the U.S. Food and Drug Administration, stands as a groundbreaking endeavor to reform dose selection of oncology drugs, presenting both opportunities and challenges for the field. To address complex dose optimization challenges, an Oncology Dose Optimization IQ Working Group was created to characterize current practices, provide recommendations for improvement, develop a clinical toolkit, and engage Health Authorities. Historically, dose selection for cytotoxic chemotherapeutics has focused on the maximum tolerated dose, a paradigm that is less relevant for targeted therapies and new treatment modalities. A survey conducted by this group gathered insights from member companies regarding industry practices in oncology dose optimization. Given oncology drug development is a complex effort with multidimensional optimization and high failure rates due to lack of clinically relevant efficacy, this Working Group advocates for a case-by-case approach to inform the timing, specific quantitative targets, and strategies for dose optimization, depending on factors such as disease characteristics, patient population, mechanism of action, including associated resistance mechanisms, and therapeutic index. This white paper highlights the evolving nature of oncology dose optimization, the impact of Project Optimus, and the need for a tailored and evidence-based approach to optimize oncology drug dosing regimens effectively.
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
bo发布了新的文献求助10
刚刚
1秒前
SuperFAN完成签到,获得积分10
2秒前
司空铭完成签到,获得积分20
2秒前
2秒前
科研通AI6.3应助俊秀的芫采纳,获得10
2秒前
范冬菱发布了新的文献求助10
2秒前
樊书雪完成签到,获得积分10
3秒前
李健应助高高采纳,获得10
3秒前
JamesPei应助Li采纳,获得10
3秒前
凌志完成签到,获得积分10
3秒前
4秒前
4秒前
老曹完成签到,获得积分10
6秒前
6秒前
打打应助ccc采纳,获得10
6秒前
传奇3应助冲冲冲采纳,获得10
7秒前
云霓发布了新的文献求助10
7秒前
7秒前
8秒前
充电宝应助ale采纳,获得10
8秒前
9秒前
9秒前
踏实小蘑菇完成签到,获得积分10
9秒前
shilong.yang发布了新的文献求助10
9秒前
mmm完成签到,获得积分10
10秒前
10秒前
10秒前
爆米花应助许林采纳,获得10
10秒前
10秒前
汉堡包应助tkdzjr12345采纳,获得10
10秒前
尼古丁_真发布了新的文献求助10
11秒前
11秒前
11秒前
研友_VZG7GZ应助shidewu采纳,获得10
11秒前
12秒前
zhujiyao关注了科研通微信公众号
12秒前
Venovenom完成签到,获得积分10
13秒前
13秒前
搜集达人应助mmm采纳,获得10
13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
Geist der Kunst und Kultur 1000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
日本現代怪異事典 副読本 700
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
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 7395351
求助须知:如何正确求助?哪些是违规求助? 9001390
关于积分的说明 19158548
捐赠科研通 7031238
什么是DOI,文献DOI怎么找? 3229845
关于科研通互助平台的介绍 2392305
邀请新用户注册赠送积分活动 2211402