Literature DB >> 18954804

Failure is an option: learning from unsuccessful proof-of-concept trials.

Stefan Schäfer1, Peter Kolkhof.   

Abstract

Recent statistics indicate that the attrition rates during drug development remain high. Lack of clinical efficacy has meanwhile become the most frequent cause for discontinuation of a drug development program. Consequently, attrition rates are highest in clinical Phase II, which usually includes the first evidence for pharmacodynamic action of the compound or, proof of concept. Interestingly, attrition is approximately 60-70% across a variety of therapeutic areas, including the central nervous system (where predictivity of animal models is usually low) and cardiovascular medicine (where animal models are considered to be more predictive). Obviously, the translation of animal data into clinical benefit remains suboptimal.

Mesh:

Year:  2008        PMID: 18954804     DOI: 10.1016/j.drudis.2008.03.026

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  7 in total

1.  Integrated systems approach identifies genetic nodes and networks in late-onset Alzheimer's disease.

Authors:  Bin Zhang; Chris Gaiteri; Liviu-Gabriel Bodea; Zhi Wang; Joshua McElwee; Alexei A Podtelezhnikov; Chunsheng Zhang; Tao Xie; Linh Tran; Radu Dobrin; Eugene Fluder; Bruce Clurman; Stacey Melquist; Manikandan Narayanan; Christine Suver; Hardik Shah; Milind Mahajan; Tammy Gillis; Jayalakshmi Mysore; Marcy E MacDonald; John R Lamb; David A Bennett; Cliona Molony; David J Stone; Vilmundur Gudnason; Amanda J Myers; Eric E Schadt; Harald Neumann; Jun Zhu; Valur Emilsson
Journal:  Cell       Date:  2013-04-25       Impact factor: 41.582

2.  Supplementing exercise: translational considerations for nutraceutical and lifestyle interventions.

Authors:  Jessica R Santos-Parker; Rachelle E Kaplon
Journal:  J Physiol       Date:  2014-02-01       Impact factor: 5.182

3.  Immunization against proprotein convertase subtilisin-like/kexin type 9 lowers plasma LDL-cholesterol levels in mice.

Authors:  Elena Fattori; Manuela Cappelletti; Paola Lo Surdo; Alessandra Calzetta; Claus Bendtsen; Yan G Ni; Shilpa Pandit; Ayesha Sitlani; Giuseppe Mesiti; Andrea Carfí; Paolo Monaci
Journal:  J Lipid Res       Date:  2012-05-19       Impact factor: 5.922

Review 4.  "Digital biomarkers" in preclinical heart failure models - a further step towards improved translational research.

Authors:  Alexander Schmidt; Jakob Balitzki; Ljubica Grmaca; Julia Vogel; Philip Boehme; Katharina Boden; Jörg Hüser; Hubert Truebel; Thomas Mondritzki
Journal:  Heart Fail Rev       Date:  2022-08-24       Impact factor: 4.654

Review 5.  Experimental autoimmune encephalomyelitis in the common marmoset, a bridge between rodent EAE and multiple sclerosis for immunotherapy development.

Authors:  Yolanda S Kap; Jon D Laman; Bert A 't Hart
Journal:  J Neuroimmune Pharmacol       Date:  2009-10-14       Impact factor: 4.147

6.  The future of molecular dynamics simulations in drug discovery.

Authors:  David W Borhani; David E Shaw
Journal:  J Comput Aided Mol Des       Date:  2011-12-20       Impact factor: 3.686

7.  Evolutionary profiling reveals the heterogeneous origins of classes of human disease genes: implications for modeling disease genetics in animals.

Authors:  Evan K Maxwell; Christine E Schnitzler; Paul Havlak; Nicholas H Putnam; Anh-Dao Nguyen; R Travis Moreland; Andreas D Baxevanis
Journal:  BMC Evol Biol       Date:  2014-10-04       Impact factor: 3.260

  7 in total

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