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    Targeted genetic dependency screen facilitates identification of actionable mutations in FGFR4, MAP3K9, and PAK5 in lung cancer.

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    Authors
    Fawdar, Shameem
    Trotter, Eleanor W
    Li, Yaoyong
    Stephenson, Natalie L
    Hanke, Franziska
    Marusiak, Anna A
    Edwards, Zoe C
    Lentile, Sara
    Waszkowycz, Bohdan
    Miller, Crispin J
    Brognard, John
    Affiliation
    Signalling Networks in Cancer Group, Applied Computational Biology and Bioinformatics Group, and Drug Discovery Unit, Cancer Research UK, Paterson Institute for Cancer Research, University of Manchester, Manchester M20 4BX, United Kingdom.
    Issue Date
    2013-07-23
    
    Metadata
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    Abstract
    Approximately 70% of patients with non-small-cell lung cancer present with late-stage disease and have limited treatment options, so there is a pressing need to develop efficacious targeted therapies for these patients. This remains a major challenge as the underlying genetic causes of ∼50% of non-small-cell lung cancers remain unknown. Here we demonstrate that a targeted genetic dependency screen is an efficient approach to identify somatic cancer alterations that are functionally important. By using this approach, we have identified three kinases with gain-of-function mutations in lung cancer, namely FGFR4, MAP3K9, and PAK5. Mutations in these kinases are activating toward the ERK pathway, and targeted depletion of the mutated kinases inhibits proliferation, suppresses constitutive activation of downstream signaling pathways, and results in specific killing of the lung cancer cells. Genomic profiling of patients with lung cancer is ushering in an era of personalized medicine; however, lack of actionable mutations presents a significant hurdle. Our study indicates that targeted genetic dependency screens will be an effective strategy to elucidate somatic variants that are essential for lung cancer cell viability.
    Citation
    Targeted genetic dependency screen facilitates identification of actionable mutations in FGFR4, MAP3K9, and PAK5 in lung cancer. 2013, 110 (30):12426-31 Proc Natl Acad Sci USA
    Journal
    Proceedings of the National Academy of Sciences of the United States of America
    URI
    http://hdl.handle.net/10541/297410
    DOI
    10.1073/pnas.1305207110
    PubMed ID
    23836671
    Type
    Article
    Language
    en
    ISSN
    1091-6490
    ae974a485f413a2113503eed53cd6c53
    10.1073/pnas.1305207110
    Scopus Count
    Collections
    All Paterson Institute for Cancer Research

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