Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 21, No. 4_Supplement ( 2015-02-15), p. A39-A39
    Abstract: Assessment of anti-cancer drug efficacy is an imprecise and challenging undertaking. Early candidate selection is typically based on results from systemically treated animal models and later by performance in human trials where patients are exposed to often toxic levels of drug, prior to obtaining readouts of tumor response. In both of these testing models, only one drug can be tested at a time. Using these methods, over 90% of candidate new oncology drugs fail to provide benefit for patients in human clinical trials. To improve the predictive value of preclinical candidate selection in animal models and enable a new type of pre-Phase 1 toxicity-sparing comparative drug efficacy study in humans, amenable for use in the solid tumor clinic, we have developed a technology platform called CIVO™. This platform allows for simultaneous assessment of multiple drugs or drug combinations directly in a single solid tumor to assess efficacy, resistance and drug synergies. In this study, precise, controlled delivery of classic chemotherapy drugs vincristine and doxorubicin induced spatially defined (ranging 0.3 – 2.0 mm in diameter), readily detectable, and mechanism-specific cellular changes around sites of tumor microinjection across three xenograft models of lymphoma. The extent of apoptosis induced via CIVO™ microdosing of each drug ( & lt;1/100th the effective dose used to treat human patients) correlated with drug effect on tumor growth mediated by conventional systemic drug dosing. Consistent with utility for detecting pre-existing tumor resistance to certain drugs, CIVO™ microdosing predicted diminished responses to both vincristine and doxorubicin in tumors derived from cells that had previously acquired resistance to doxorubicin. This lack of efficacy was confirmed by systemic treatment of the resistant tumors. The CIVO™ platform is concurrently being evaluated for correlation to systemic treatment in immune-intact canine patients with autochthonous tumors. The data presented here generated in drug-responsive and non-responsive solid tumors in the preclinical setting sets the stage for future application of this technology to demonstrate tumor responsiveness to novel drug candidates in the context of human patients. Citation Format: Richard Klinghoffer, Alicia Moreno-Gonzalez, Michael Carleton, Marc Grenley, Beryl Hatton, Jason Frazier, William Kerwin, Ilona Tretyak, Nathan Hedin, Joyoti Dey, Joseph Casalini, Sally Ditzler, James Olson, Nathan Caffo. A platform to assess multiple therapy options simultaneously in a patient's own tumor. [abstract]. In: Proceedings of the AACR Precision Medicine Series: Drug Sensitivity and Resistance: Improving Cancer Therapy; Jun 18-21, 2014; Orlando, FL. Philadelphia (PA): AACR; Clin Cancer Res 2015;21(4 S uppl): Abstract nr A39.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
    detail.hit.zdb_id: 1225457-5
    detail.hit.zdb_id: 2036787-9
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 2
    In: Science Translational Medicine, American Association for the Advancement of Science (AAAS), Vol. 7, No. 284 ( 2015-04-22)
    Abstract: A fundamental problem in cancer drug development is that antitumor efficacy in preclinical cancer models does not translate faithfully to patient outcomes. Much of early cancer drug discovery is performed under in vitro conditions in cell-based models that poorly represent actual malignancies. To address this inconsistency, we have developed a technology platform called CIVO, which enables simultaneous assessment of up to eight drugs or drug combinations within a single solid tumor in vivo. The platform is currently designed for use in animal models of cancer and patients with superficial tumors but can be modified for investigation of deeper-seated malignancies. In xenograft lymphoma models, CIVO microinjection of well-characterized anticancer agents (vincristine, doxorubicin, mafosfamide, and prednisolone) induced spatially defined cellular changes around sites of drug exposure, specific to the known mechanisms of action of each drug. The observed localized responses predicted responses to systemically delivered drugs in animals. In pair-matched lymphoma models, CIVO correctly demonstrated tumor resistance to doxorubicin and vincristine and an unexpected enhanced sensitivity to mafosfamide in multidrug-resistant lymphomas compared with chemotherapy-naïve lymphomas. A CIVO-enabled in vivo screen of 97 approved oncology agents revealed a novel mTOR (mammalian target of rapamycin) pathway inhibitor that exhibits significantly increased tumor-killing activity in the drug-resistant setting compared with chemotherapy-naïve tumors. Finally, feasibility studies to assess the use of CIVO in human and canine patients demonstrated that microinjection of drugs is toxicity-sparing while inducing robust, easily tracked, drug-specific responses in autochthonous tumors, setting the stage for further application of this technology in clinical trials.
    Type of Medium: Online Resource
    ISSN: 1946-6234 , 1946-6242
    Language: English
    Publisher: American Association for the Advancement of Science (AAAS)
    Publication Date: 2015
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 3
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 74, No. 19_Supplement ( 2014-10-01), p. 3129-3129
    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
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2014
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages