id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_ofmspvrd7jeavlz5277jr4vrpm	Alexandra Wendler	Translatability scoring in drug development: eight case studies	2012	11	.pdf	application/pdf	10265	1246	45	of low rates of market approvals for new medical entities, better strategies to predict the risk of drug development biomarkers and animal models is reflected by a low translatability score, well correlating with the excessive Keywords: Dabigatran, Ipilimumab, Gefitinib, Vilazodone, Latrepirdine, Semagacestat, Translatability Score, Translational medicine, Drug development Drugs from different therapeutic areas (anticoagulation, cancer, CNS-related diseases, and cardiovascular The leading biomarkers evaluated were: aPTT for dabigatran, immune related response criteria for ipilimumab, effects on tumor growth for gefitinib, tumor growth and mutation status of EGFR for gefitinib, Hamilton Rating scale for depression-17 for vilazodone, none for latrepirdine, and effects on amyloid plaques translatability scores for the items model compounds, clinical trials, biomarker grading and surrogates in Table 2. This case study represents the development of a new therapeutic indication of an already approved drug, which is of The biomarker score alone would predict a high translatability also for the use of tumor growth as this is a	./cache/work_ofmspvrd7jeavlz5277jr4vrpm.pdf	./txt/work_ofmspvrd7jeavlz5277jr4vrpm.txt