Literature DB >> 31127063

A promiscuous kinase inhibitor reveals secrets to cancer cell survival.

Paul Shapiro1.   

Abstract

Deregulated kinase signaling networks drive the growth and survival of many cancer cells. However, the genetic complexity and rapidly evolving nature of most cancer cells create challenges when identifying the most relevant kinases to inhibit to achieve optimal therapeutic benefits. A new strategy that takes advantage of a well-characterized multitargeted kinase inhibitor describes a nongenetic approach to tease out key kinases that promote proliferation of specific cancer cell types.
© 2019 Shapiro.

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Year:  2019        PMID: 31127063      PMCID: PMC6544853          DOI: 10.1074/jbc.H119.009103

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  10 in total

1.  Small-molecule kinase inhibitors: an analysis of FDA-approved drugs.

Authors:  Peng Wu; Thomas E Nielsen; Mads H Clausen
Journal:  Drug Discov Today       Date:  2015-07-23       Impact factor: 7.851

2.  Perspectives on the development of imatinib and the future of cancer research.

Authors:  Brian J Druker
Journal:  Nat Med       Date:  2009-10       Impact factor: 53.440

Review 3.  Molecular pathways: resistance to kinase inhibitors and implications for therapeutic strategies.

Authors:  Christine M Lovly; Alice T Shaw
Journal:  Clin Cancer Res       Date:  2014-05-01       Impact factor: 12.531

4.  A multitargeted probe-based strategy to identify signaling vulnerabilities in cancers.

Authors:  Suman Rao; Guangyan Du; Marc Hafner; Kartik Subramanian; Peter K Sorger; Nathanael S Gray
Journal:  J Biol Chem       Date:  2019-03-11       Impact factor: 5.157

5.  Leveraging Compound Promiscuity to Identify Targetable Cysteines within the Kinome.

Authors:  Suman Rao; Deepak Gurbani; Guangyan Du; Robert A Everley; Christopher M Browne; Apirat Chaikuad; Li Tan; Martin Schröder; Sudershan Gondi; Scott B Ficarro; Taebo Sim; Nam Doo Kim; Matthew J Berberich; Stefan Knapp; Jarrod A Marto; Kenneth D Westover; Peter K Sorger; Nathanael S Gray
Journal:  Cell Chem Biol       Date:  2019-04-11       Impact factor: 8.116

Review 6.  Kinase mutations in human disease: interpreting genotype-phenotype relationships.

Authors:  Piya Lahiry; Ali Torkamani; Nicholas J Schork; Robert A Hegele
Journal:  Nat Rev Genet       Date:  2010-01       Impact factor: 53.242

7.  Proteome-wide prediction of targets for aspirin: new insight into the molecular mechanism of aspirin.

Authors:  Shao-Xing Dai; Wen-Xing Li; Gong-Hua Li; Jing-Fei Huang
Journal:  PeerJ       Date:  2016-03-10       Impact factor: 2.984

8.  Metformin and cancer: An existing drug for cancer prevention and therapy.

Authors:  Fuming Zi; Huapu Zi; Yi Li; Jingsong He; Qingzhi Shi; Zhen Cai
Journal:  Oncol Lett       Date:  2017-11-14       Impact factor: 2.967

9.  Growth rate inhibition metrics correct for confounders in measuring sensitivity to cancer drugs.

Authors:  Marc Hafner; Mario Niepel; Mirra Chung; Peter K Sorger
Journal:  Nat Methods       Date:  2016-05-02       Impact factor: 28.547

Review 10.  The mechanisms of action of metformin.

Authors:  Graham Rena; D Grahame Hardie; Ewan R Pearson
Journal:  Diabetologia       Date:  2017-08-03       Impact factor: 10.122

  10 in total

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