Literature DB >> 19008887

Do molecularly targeted agents in oncology have reduced attrition rates?

Ian Walker, Herbie Newell.   

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Year:  2008        PMID: 19008887     DOI: 10.1038/nrd2758

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


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  6 in total

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Review 3.  Can the pharmaceutical industry reduce attrition rates?

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Review 5.  Development trends for new cancer therapeutics and vaccines.

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Journal:  Drug Discov Today       Date:  2007-10-18       Impact factor: 7.851

Review 6.  Maximizing mouse cancer models.

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Journal:  Nat Rev Cancer       Date:  2007-09       Impact factor: 60.716

  6 in total
  33 in total

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Authors:  Stephen D Anton; Adam J Woods; Tetso Ashizawa; Diana Barb; Thomas W Buford; Christy S Carter; David J Clark; Ronald A Cohen; Duane B Corbett; Yenisel Cruz-Almeida; Vonetta Dotson; Natalie Ebner; Philip A Efron; Roger B Fillingim; Thomas C Foster; David M Gundermann; Anna-Maria Joseph; Christy Karabetian; Christiaan Leeuwenburgh; Todd M Manini; Michael Marsiske; Robert T Mankowski; Heather L Mutchie; Michael G Perri; Sanjay Ranka; Parisa Rashidi; Bhanuprasad Sandesara; Philip J Scarpace; Kimberly T Sibille; Laurence M Solberg; Shinichi Someya; Connie Uphold; Stephanie Wohlgemuth; Samuel Shangwu Wu; Marco Pahor
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Review 6.  The inverted pyramid of biomarker-driven trials.

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Review 7.  Molecular networks in drug discovery.

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8.  Predicting success in regulatory approval from Phase I results.

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9.  Defining the expressed breast cancer kinome.

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Review 10.  Investigator-initiated trials of targeted oncology agents: why independent research is at risk?

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