Integrated Patient-Derived Models Delineate Individualized Therapeutic Vulnerabilities of Pancreatic Cancer

Agnieszka K. Witkiewicz, Uthra Balaji, Cody Eslinger, Elizabeth McMillan, William Conway, Bruce Posner, Gordon B. Mills, Eileen M. O'Reilly, Erik S. Knudsen

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    44 Scopus citations

    Abstract

    Pancreatic ductal adenocarcinoma (PDAC) harbors the worst prognosis of any common solid tumor, and multiple failed clinical trials indicate therapeutic recalcitrance. Here, we use exome sequencing of patient tumors and find multiple conserved genetic alterations. However, the majority of tumors exhibit no clearly defined therapeutic target. High-throughput drug screens using patient-derived cell lines found rare examples of sensitivity to monotherapy, with most models requiring combination therapy. Using PDX models, we confirmed the effectiveness and selectivity of the identified treatment responses. Out of more than 500 single and combination drug regimens tested, no single treatment was effective for the majority of PDAC tumors, and each case had unique sensitivity profiles that could not be predicted using genetic analyses. These data indicate a shortcoming of reliance on genetic analysis to predict efficacy of currently available agents against PDAC and suggest that sensitivity profiling of patient-derived models could inform personalized therapy design for PDAC.

    Original languageEnglish (US)
    Pages (from-to)2017-2031
    Number of pages15
    JournalCell Reports
    Volume16
    Issue number7
    DOIs
    StatePublished - Aug 16 2016

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    ASJC Scopus subject areas

    • Biochemistry, Genetics and Molecular Biology(all)

    Cite this

    Witkiewicz, A. K., Balaji, U., Eslinger, C., McMillan, E., Conway, W., Posner, B., Mills, G. B., O'Reilly, E. M., & Knudsen, E. S. (2016). Integrated Patient-Derived Models Delineate Individualized Therapeutic Vulnerabilities of Pancreatic Cancer. Cell Reports, 16(7), 2017-2031. https://doi.org/10.1016/j.celrep.2016.07.023