The development of biomarkers to reduce attrition rate in drug discovery focused on oncology and central nervous system

被引:7
作者
Safavi, Maliheh [1 ]
Sabourian, Reyhaneh [2 ]
Abdollahi, Mohammad [2 ,3 ,4 ]
机构
[1] Iranian Res Org Sci & Technol, Dept Biotechnol, Tehran, Iran
[2] Univ Tehran Med Sci, Fac Pharm & Pharmaceut Sci, Res Ctr, Tehran, Iran
[3] Univ Tehran Med Sci, Toxicol Interest Grp, Tehran, Iran
[4] Univ Tehran Med Sci, Endocrinol & Metab Res Inst, Tehran, Iran
关键词
Attrition; biomarkers; drug discovery; expert review; oncology and central nervous system; CELL LUNG-CANCER; RESEARCH-AND-DEVELOPMENT; DEVELOPMENT SUCCESS RATES; CIRCULATING TUMOR-CELLS; DIFFUSION-WEIGHTED MRI; CLINICAL-TRIAL RISK; ALZHEIMERS-DISEASE; PERSONALIZED MEDICINE; CEREBROSPINAL-FLUID; DISCONTINUED DRUGS;
D O I
10.1080/17460441.2016.1217196
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Introduction: 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. Areas covered: 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. Expert opinion: 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.
引用
收藏
页码:939 / 956
页数:18
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