Literature DB >> 33129994

Reviving an R&D pipeline: a step change in the Phase II success rate.

Shuang S Wu1, Kathy Fernando2, Charlotte Allerton1, Kathrin U Jansen3, Michael S Vincent1, Mikael Dolsten4.   

Abstract

The pharmaceutical industry has faced declining research and development (R&D) productivity for decades. During the early 2010s, Pfizer saw its R&D productivity drop even more sharply than did its industry peers. As impactful medicines the company had developed and brought to patients in previous years lost exclusivity, Pfizer faced a steep patent cliff with a cumulative revenue impact of >US$28 billion through 2018. Since 2010, the company has embarked on a focused turnaround effort to improve R&D productivity. Although some efforts will need more time to prove themselves, there are early signs of a turnaround now, particularly in terms of Phase II success rates. Here, we share some learnings from a decade of experience as one of the largest R&D organizations in the industry.
Copyright © 2020 Pfizer Inc. Published by Elsevier Ltd.. All rights reserved.

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Year:  2020        PMID: 33129994     DOI: 10.1016/j.drudis.2020.10.019

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


  4 in total

Review 1.  Predictive validity in drug discovery: what it is, why it matters and how to improve it.

Authors:  Jack W Scannell; James Bosley; John A Hickman; Gerard R Dawson; Hubert Truebel; Guilherme S Ferreira; Duncan Richards; J Mark Treherne
Journal:  Nat Rev Drug Discov       Date:  2022-10-04       Impact factor: 112.288

2.  A Structured Approach to Optimizing Animal Model Selection for Human Translation: The Animal Model Quality Assessment.

Authors:  Joanne Storey; Thomas Gobbetti; Alan Olzinski; Brian R Berridge
Journal:  ILAR J       Date:  2021-12-31       Impact factor: 1.521

Review 3.  A State-of-the-Art Roadmap for Biomarker-Driven Drug Development in the Era of Personalized Therapies.

Authors:  Victoria Serelli-Lee; Kazumi Ito; Akira Koibuchi; Takahiko Tanigawa; Takayo Ueno; Nobuko Matsushima; Yasuhiko Imai
Journal:  J Pers Med       Date:  2022-04-21

4.  Model-informed target identification and validation through combining quantitative systems pharmacology with network-based analysis.

Authors:  Vijayalakshmi Chelliah; Piet H van der Graaf
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2022-02-17
  4 in total

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