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Cancer Research 69, 431, January 15, 2009. doi: 10.1158/0008-5472.CAN-08-1800
© 2009 American Association for Cancer Research

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Cell, Tumor, and Stem Cell Biology

De novo Induction of Genetically Engineered Brain Tumors in Mice Using Plasmid DNA

Stephen M. Wiesner1, Stacy A. Decker2, Jon D. Larson3,6, Katya Ericson4, Colleen Forster5, Jose L. Gallardo2, Chunmei Long2, Zachary L. Demorest4, Edward A. Zamora2, Walter C. Low4,6, Karen SantaCruz5, David A. Largaespada3,6 and John R. Ohlfest2,4,6

1 Center for Allied Health Programs, Departments of 2 Pediatrics, 3 Genetics, Cell Biology, and Development, 4 Neurosurgery, and 5 Laboratory Medicine and Pathology, and 6 Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota

Requests for reprints: John R. Ohlfest, Department of Pediatrics, University of Minnesota, 515 Delaware Street SE, MMC 366, Minneapolis, MN 55455. Phone: 612-626-2491; Fax: 612-626-2490; E-mail: Ohlfe001{at}umn.edu.

Key Words: glioma • spontaneous mouse model • EGFRvIII • bioluminescence

Spontaneous mouse models of cancer show promise to more accurately recapitulate human disease and predict clinical efficacy. Transgenic mice or viral vectors have been required to generate spontaneous models of glioma, a lethal brain tumor, because nonviral gene transfer is typically transient. To overcome this constraint, we used the Sleeping Beauty transposable element to achieve chromosomal integration of human oncogenes into endogenous brain cells of immunocompetent mice. Genetically engineered, spontaneous brain tumors were induced with plasmid DNA in a matter of weeks in three separate mouse strains. The phenotype of tumors was influenced by the combination of oncogenes delivered, resembling human astrocytoma or glioblastoma in the majority of cases. At least five different genes can be cotransfected simultaneously including reporters, allowing measurement of tumor viability by in vivo imaging. This model can accelerate brain tumor research in a variety of ways such as generation of "humanized" models for high throughput drug screening and candidate gene validation with exceptional speed and flexibility. [Cancer Res 2009;69(2):431–9]




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E. M. C. Fisher, E. Lana-Elola, S. D. Watson, G. Vassiliou, and V. L. J. Tybulewicz
New approaches for modelling sporadic genetic disease in the mouse
Dis. Model. Mech., September 1, 2009; 2(9-10): 446 - 453.
[Abstract] [Full Text] [PDF]




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Cancer Research Clinical Cancer Research
Cancer Epidemiology Biomarkers & Prevention Molecular Cancer Therapeutics
Molecular Cancer Research Cancer Prevention Research
Cancer Prevention Journals Portal Cancer Reviews Online
Annual Meeting Education Book Meeting Abstracts Online
Copyright © 2009 by the American Association for Cancer Research.