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    Interrogating open issues in cancer precision medicine with patient-derived xenografts.

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    Authors
    Byrne, A
    Alférez, Denis G
    Amant, F
    Annibali, D
    Arribas, J
    Biankin, A
    Bruna, A
    Budinská, E
    Caldas, C
    Chang, D
    Clarke, Robert B
    Clevers, H
    Coukos, G
    Dangles-Marie, V
    Eckhardt, S Gail
    Gonzalez-Suarez, E
    Hermans, E
    Hidalgo, M
    Jarzabek, M
    de Jong, S
    Jonkers, J
    Kemper, K
    Lanfrancone, L
    Mælandsmo, G
    Marangoni, E
    Marine, J
    Medico, E
    Norum, J
    Palmer, H
    Peeper, D
    Pelicci, Pier G
    Piris-Gimenez, A
    Roman-Roman, S
    Rueda, O
    Seoane, J
    Serra, V
    Soucek, L
    Vanhecke, D
    Villanueva, A
    Vinolo, E
    Bertotti, A
    Trusolino, L
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    Affiliation
    EurOPDX Consortium and are at the Royal College of Surgeons in Ireland, Dublin 2, Ireland
    Issue Date
    2017-01-20
    
    Metadata
    Show full item record
    Abstract
    Patient-derived xenografts (PDXs) have emerged as an important platform to elucidate new treatments and biomarkers in oncology. PDX models are used to address clinically relevant questions, including the contribution of tumour heterogeneity to therapeutic responsiveness, the patterns of cancer evolutionary dynamics during tumour progression and under drug pressure, and the mechanisms of resistance to treatment. The ability of PDX models to predict clinical outcomes is being improved through mouse humanization strategies and the implementation of co-clinical trials, within which patients and PDXs reciprocally inform therapeutic decisions. This Opinion article discusses aspects of PDX modelling that are relevant to these questions and highlights the merits of shared PDX resources to advance cancer medicine from the perspective of EurOPDX, an international initiative devoted to PDX-based research.
    Citation
    Interrogating open issues in cancer precision medicine with patient-derived xenografts. 2017, Nat. Rev. Cancer
    Journal
    Nature Reviews. Cancer
    URI
    http://hdl.handle.net/10541/620189
    DOI
    10.1038/nrc.2016.140
    PubMed ID
    28104906
    Type
    Article
    Language
    en
    ISSN
    1474-1768
    ae974a485f413a2113503eed53cd6c53
    10.1038/nrc.2016.140
    Scopus Count
    Collections
    All Paterson Institute for Cancer Research

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