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DOI: 10.3791/65286-v
Katie B. Grausam*1, Joshua J. Breunig*1,2,3,4,5
1Board of Governor’s Regenerative Medicine Institute,Cedars-Sinai Medical Center, 2Center for Neural Sciences in Medicine,Cedars-Sinai Medical Center, 3Department of Biomedical Sciences,Cedars-Sinai Medical Center, 4Samuel Oschin Comprehensive Cancer Institute,Cedars-Sinai Medical Center, 5Department of Medicine, David Geffen School of Medicine,University of California, Los Angeles
Utilizing an immunocompetent, autochthonous tumor model driven by common patient mutations for preclinical testing is critical for immunotherapeutic testing. This protocol describes a method to generate brain tumor mouse models using electroporation-based delivery of plasmid DNA that represent common patient mutations, thus providing an accurate, reproducible, and consistent mouse model.
The technique focuses on modeling patient mutation profiles of glioblastoma in the immunocompetent mouse model and how these different mutations are influencing the tumor microenvironment and response to treatment. Genomic and single-cell sequencing identify that the genetic driver mutations of glioblastoma are associated with the aggressiveness of cancer and components of the tumor microenvironment such as the immune cell population. Glioblastoma mouse models in preclinical trials show great success with immunotherapy, leading to curative results and no sign of tumor growth after treatment.
However, these effects are not reflected in patients for outcome or survival. This protocol recapitulates patient tumor mutation profiles of glioblastoma in the immunocompetent mouse model, allowing gradual autochthonous tumor growth and better prediction of treatment efficacy, especially with immunotherapy. This modeling system integrates DNA plasmids into the genome through electroporation of immunocompetent mice.
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