Literature DB >> 16699494

Impact of genetic diagnostics on drug development strategy.

Ryan P Million1.   

Abstract

Innovation in diagnostics will be essential for the successful adoption of personalized medicine and will also have a major impact on the success of drug development strategies. To remain competitive, companies will need to embrace the rapid innovation in the diagnostic market, utilize diagnostic tools concurrently with research and development, and re-invent how new drugs are brought to market. In this article, specific examples of targeted oncology drugs are used to illustrate the general impact of genetic diagnostics on drug development.

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Year:  2006        PMID： 16699494     DOI： 10.1038/nrd2034

Source DB:  PubMed          Journal:  Nat Rev Drug Discov        ISSN： 1474-1776            Impact factor:   84.694


  6 in total

1.  Personalized medicine in oncology: next generation.

Authors:  Alex Chiang; Ryan P Million
Journal:  Nat Rev Drug Discov       Date:  2011-12-01       Impact factor: 84.694

2.  A 256 pixel magnetoresistive biosensor microarray in 0.18μm CMOS.

Authors:  Drew A Hall; Richard S Gaster; Kofi Makinwa; Shan X Wang; Boris Murmann
Journal:  IEEE J Solid-State Circuits       Date:  2013-05       Impact factor: 5.013

Review 3.  Influence of pharmacogenomic profiling prior to pharmaceutical treatment in metastatic colorectal cancer on cost effectiveness : a systematic review.

Authors:  Martin Frank; Thomas Mittendorf
Journal:  Pharmacoeconomics       Date:  2013-03       Impact factor: 4.981

Review 4.  Clinical translation of genotyping and haplotyping data: implementation of in vivo pharmacology experience leading drug prescription to pharmacotyping.

Authors:  Ioannis S Vizirianakis
Journal:  Clin Pharmacokinet       Date:  2007       Impact factor: 6.447

5.  ATM mediates cytotoxicity of a mutant telomerase RNA in human cancer cells.

Authors:  Bradley A Stohr; Elizabeth H Blackburn
Journal:  Cancer Res       Date:  2008-07-01       Impact factor: 12.701

6.  An integrated approach to prognosis using protein microarrays and nonparametric methods.

Authors:  Tanya Knickerbocker; Jiunn R Chen; Ravi Thadhani; Gavin MacBeath
Journal:  Mol Syst Biol       Date:  2007-06-26       Impact factor: 11.429
  6 in total

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