Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Nathan Hedin is active.

Publication


Featured researches published by Nathan Hedin.


Clinical Cancer Research | 2015

Abstract A39: A platform to assess multiple therapy options simultaneously in a patient's own tumor

Richard A. Klinghoffer; Alicia Moreno-Gonzalez; Michael Carleton; Marc Grenley; Beryl A. Hatton; Jason Frazier; William S. Kerwin; Ilona Tretyak; Nathan Hedin; Joyoti Dey; Joseph Casalini; Sally Ditzler; James R. Olson; Nathan Caffo

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 ( 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 patient9s 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 Suppl): Abstract nr A39.


Cancer Research | 2014

Abstract 3129: A platform to assess multiple therapy options simultaneously in a patient's own tumor

Richard A. Klinghoffer; Alicia Moreno-Gonzalez; Michael Carleton; Jason Frazier; Marc Grenley; Ilona Tretyak; Nathan Hedin; Joyoti Dey; Joseph Casalini; Beryl A. Hatton; Sally Ditzler; James R. Olson; Daniel W. Pierce; Ellen H. Filvaroff; Nathan Caffo

Proceedings: AACR Annual Meeting 2014; April 5-9, 2014; San Diego, CA 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 patients 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 patients 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


Cancer Research | 2013

Abstract 4153: Arrayed microinjection of a ubiquitin activating enzyme inhibitor induces PD biomarker effects predictive of in vivo tumor responses to systemic drug delivery.

Beryl A. Hatton; Marc Grenley; Nathan Hedin; Nathan Caffo; Marc Hyer; Mark Manfredi; Stephen J. Blakemore; Richard A. Klinghoffer; Neil Bence

Proceedings: AACR 104th Annual Meeting 2013; Apr 6-10, 2013; Washington, DC Presage technology enables simultaneous analysis of multiple cancer drug candidates, drug concentrations, and drug combinations within a single living tumor. The platform employs arrayed tumor microinjection technology that delivers multiple spatially defined “threads” of drug directly into discreet portions of a tumor. This enables rapid, reliable, and internally controlled cross comparisons of multiple cancer therapeutics using screening quantities of drug in an in vivo setting in which the local tumor microenvironment is maintained. Here, as an example, we apply the platform to investigate tumor responsiveness to an inhibitor of the ubiquitin activating enzyme UBA1 from Millennium Pharmaceuticals. The ubiquitin activating enzyme UBA1 regulates ubiquitin activation and subsequent polyubiquitination of proteins necessary for their degradation by the proteasome, and functionally impacts cell signaling, DNA damage repair and cell cycle progression. In vivo tumor responses were evaluated in two human xenograft models, WSU-DLCL2 and MCF-7, grown as flank tumors in immune-compromised mice. Microdosing of multiple concentrations of the UBA1 inhibitor (UBAi) into both models led to localized, easily detectable, and drug concentration-dependent biomarker changes indicative of ubiquitin pathway perturbation in the area proximal to injected drug. This included loss of poly-ubiquitin, accompanied by the expected accumulation of cMyc in tumor regions exposed to the UBAi. Localized time-dependent tumor cell death responses were observed following pathway perturbation as quantified by staining for cleaved caspase-3 and gamma-H2AX staining. Furthermore, pathological evidence of UBAi-induced cell death was clearly visible in both tumor models upon histological examination of H&E stained slides. These results highlight the capacity of the Presage platform to perform multiplexed drug studies in live tumor models. This capability could readily be expanded for use in validating additional biomarker hypotheses, indication finding studies, or for efficient identification of novel drug combinations. Citation Format: Beryl A. Hatton, Marc Grenley, Nathan Hedin, Nathan Caffo, Marc L. Hyer, Mark Manfredi, Stephen Blakemore, Richard A. Klinghoffer, Neil Bence. Arrayed microinjection of a ubiquitin activating enzyme inhibitor induces PD biomarker effects predictive of in vivo tumor responses to systemic drug delivery. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 4153. doi:10.1158/1538-7445.AM2013-4153


Blood | 2003

Comparison of anti-CD20 and anti-CD45 antibodies for conventional and pretargeted radioimmunotherapy of B-cell lymphomas.

John M. Pagel; Nathan Hedin; Krishnan Subbiah; Damon L. Meyer; Robert W. Mallet; Donald B. Axworthy; Louis J. Theodore; D. Scott Wilbur; Dana C. Matthews; Oliver W. Press


Cancer Research | 2006

A genetically engineered anti-CD45 single-chain antibody- streptavidin fusion protein for pretargeted radioimmunotherapy of hematologic malignancies

Yukang Lin; John M. Pagel; Donald B. Axworthy; Anastasia Pantelias; Nathan Hedin; Oliver W. Press


Blood | 2006

Comparison of a tetravalent single-chain antibody-streptavidin fusion protein and an antibody-streptavidin chemical conjugate for pretargeted anti-CD20 radioimmunotherapy of B-cell lymphomas

John M. Pagel; Yukang Lin; Nathan Hedin; Anastasia Pantelias; Donald B. Axworthy; Diane Stone; Don K. Hamlin; D. Scott Wilbur; Oliver W. Press


Blood | 2007

Comparative biodistributions of pretargeted radioimmunoconjugates targeting CD20, CD22, and DR molecules on human B-cell lymphomas

Anastasia Pantelias; John M. Pagel; Nathan Hedin; Laura Saganic; Shani M. Wilbur; Donald K. Hamlin; D. Scott Wilbur; Yukang Lin; Diane Stone; Don B. Axworthy; Ajay K. Gopal; Oliver W. Press


Blood | 2004

Fenretinide enhances rituximab-induced cytotoxicity against B-cell lymphoma xenografts through a caspase-dependent mechanism

Ajay K. Gopal; John M. Pagel; Nathan Hedin; Oliver W. Press


Blood | 2008

Eradication of disseminated leukemia in a syngeneic murine leukemia model using pretargeted anti-CD45 radioimmunotherapy.

John M. Pagel; Nathan Hedin; Lacey Drouet; Brent L. Wood; Anastasia Pantelias; Yukang Lin; Donald K. Hamlin; D. Scott Wilbur; Ajay K. Gopal; Damian J. Green; Frederick R. Appelbaum; Oliver W. Press


Blood | 2006

Conventional and Pretargeted Radioimmunotherapy Using an Anti-Murine CD45 Monoclonal Antibody in a Syngeneic, Disseminated Murine Leukemia Model.

John M. Pagel; Nathan Hedin; Lacey Drouet; Anastasia Pantelias; Yukang Lin; Don K. Hamlin; Darrell R. Fisher; D. Scott Wilbur; Ajay K. Gopal; Damian J. Green; Frederick R. Appelbaum; Oliver W. Press

Collaboration


Dive into the Nathan Hedin's collaboration.

Top Co-Authors

Avatar

John M. Pagel

Fred Hutchinson Cancer Research Center

View shared research outputs
Top Co-Authors

Avatar

Oliver W. Press

Fred Hutchinson Cancer Research Center

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Yukang Lin

Fred Hutchinson Cancer Research Center

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Ajay K. Gopal

University of Washington Medical Center

View shared research outputs
Top Co-Authors

Avatar

Donald B. Axworthy

Virginia Mason Medical Center

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Beryl A. Hatton

Fred Hutchinson Cancer Research Center

View shared research outputs
Top Co-Authors

Avatar

Diane Stone

Fred Hutchinson Cancer Research Center

View shared research outputs
Researchain Logo
Decentralizing Knowledge