a Department of Biotechnology , Iranian Research Organization for Science and Technology , Tehran , Iran.
b Faculty of Pharmacy and Pharmaceutical Sciences Research Center , Tehran University of Medical Sciences , Tehran , Iran.
Expert Opin Drug Discov. 2016 Oct;11(10):939-56. doi: 10.1080/17460441.2016.1217196. Epub 2016 Aug 3.
The task of discovery and development of novel therapeutic agents remains an expensive, uncertain, time-consuming, competitive, and inefficient enterprise. Due to a steady increase in the cost and time of drug development and the considerable amount of resources required, a predictive tool is needed for assessing the safety and efficacy of a new chemical entity.
This study is focused on the high attrition rate in discovery and development of oncology and central nervous system (CNS) medicines, because the failure rate of these medicines is higher than others. Some approaches valuable in reducing attrition rates are proposed and the judicious use of biomarkers is discussed.
Unlike the significant progress made in identifying and characterizing novel mechanisms of disease processes and targeted therapies, the process of novel drug development is associated with an unacceptably high attrition rate. The application of clinically qualified predictive biomarkers holds great promise for further development of therapeutic targets, improved survival, and ultimately personalized medicine sets for patients. Decisions such as candidate selection, development risks, dose ranging, early proof of concept/principle, and patient stratification are based on the measurements of biologically and/or clinically validated biomarkers.
发现和开发新型治疗剂仍然是一项昂贵、不确定、耗时、竞争激烈且效率低下的企业。由于药物开发的成本和时间不断增加,以及所需的大量资源,因此需要一种预测工具来评估新化学实体的安全性和疗效。
本研究集中于肿瘤学和中枢神经系统(CNS)药物发现和开发的高淘汰率,因为这些药物的失败率高于其他药物。提出了一些有价值的降低淘汰率的方法,并讨论了生物标志物的明智使用。
与在识别和表征疾病过程和靶向治疗的新机制方面取得的重大进展不同,新药开发的过程与不可接受的高淘汰率有关。临床合格的预测性生物标志物的应用为进一步开发治疗靶点、提高生存率以及最终为患者提供个性化药物集带来了巨大希望。候选物选择、开发风险、剂量范围、早期概念/原理验证和患者分层等决策是基于对生物和/或临床验证的生物标志物的测量。