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:6
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.
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