Abstract Proper selection of anti-cancer agents at the earliest stage of patient treatment following diagnosis of disease relapse is expected to substantially impact clinical response to treatment. Currently, genomic approaches to personalized cancer treatments have been yielded mixed results, while empirical tests to assess tumor responsiveness have been limited to ex vivo systems that disrupt the native tumor microenvironment and show limited predictive value. To address the need for multiplexed in vivo chemosensitivity testing, we have developed a technology that allows simultaneous assessment of multiple cancer therapeutics directly in a patient's tumor. This technology could provide a valuable decision-making tool to prioritize effective treatments in the oncology clinic. Data herein highlight how this technology enables controlled and reliable microinjection of multiple drugs simultaneously in preclinical tumor models, canine lymphoma, and human lymphoma patients. Consistent with the controlled drug delivery of this system, spatially localized, readily detectable, and mechanism-specific cellular changes were observed around sites of microinjection in response to classic chemotherapy drugs (vincristine and doxorubicin) as well as to a small molecule inhibitor of TOR kinase. Importantly, localized response (or lack thereof) to individual components of CHOP combination therapy correlated with response to long-term systemic drug administration across multiple cell line and patient-derived xenograft models of lymphoma. Underscoring the importance of assessing drug efficacy in the context of an intact in vivo system, tumor responses to vincristine were impacted by the local tumor microenvironment. Our results also emphasize the importance of selecting effective therapies early in the course of treatment, as drug resistance mechanisms induced cross-resistance to otherwise efficacious drugs. These studies set the stage for use of this platform in oncology drug development, where the ability to more rapidly assess drug efficacy using clinically relevant in vivo tumors may decrease the current reliance on in vitro cell-based models of cancer and possibly increase the likelihood of clinical success. This platform may thus be useful a clinical decision-making tool for selection of patient-specific anti-cancer therapies. Citation Format: Richard Klinghoffer, Alicia Moreno-Gonzalez, Michael Carleton, Jason Frazier, Marc Grenley, Ilona Tretyak, Nathan Hedin, Joyoti Dey, Joseph Casalini, Beryl Hatton, Sally Ditzler, James Olson, Daniel Pierce, Ellen Filvaroff, Nathan Caffo. A platform to assess multiple therapy options simultaneously in a patient's own tumor. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 3129. doi:10.1158/1538-7445.AM2014-3129
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