Work

Predicting Drug Responsiveness in Human Cancers Using Genetically Engineered Mice

Year: 2020

Type: article

Abstract: To use genetically engineered mouse models (GEMMs) and orthotopic syngeneic murine transplants (OSTs) to develop gene-expression based predictors of response to anti-cancer drugs in human tumors. These mouse models offer advantages including precise genetics and an intact microenvironment/immune system.

Source: Carolina Digital Repository (University of North Carolina at Chapel Hill)

DOI: 10.17615/skky-m166

Authors: Darr, David, Liu, Mei, Jordan, Jamie, Bridges, Arlene, Roberts, Patrick J., Zhao, Wei, Sharpless, Norman E., Zamboni, William, Rosen, Jeffrey M., Balletta, Lorraine, Herschkowitz, Jason I., Perou, Charles M., Cheang, Maggie C.U., Prat, Aleix, Karginova, Olga, Usary, Jerry, Combest, Austin

Institution: University of North Carolina at Chapel Hill

Language: English

Topic: Cancer Cells and Metastasis

Subfield: Oncology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Breast Cancer Research Foundation, National Cancer Institute

Awards: G108258030, G1807857831, G2407663899, G2660061247, G6147827559, G870117454

OpenAlex ID: W4300517267

FWCI:

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