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- W4313385552 abstract "Abstract There has been longstanding interest in the relationship between the immune system and malignant melanoma, the deadliest form of skin cancer. Melanoma has been the tumor of choice for the evaluation of a wide variety of therapeutic approaches that rely on stimulation of the immune system to combat cancer. The striking responses to immune checkpoint inhibitors noted in some melanoma patients have now been observed in several other malignancies, including renal cell carcinoma, lung cancer, and prostate cancer. These findings are very encouraging, however the specific mechanisms of response and reasons why only a subset of patients respond to therapy are not known. The extraordinary potential of immune therapies in cancer suggests that human-relevant mouse models of cancer are required to understand mechanisms of response and to optimize therapy so that a larger proportion of patients respond. We have generated and evaluated a series of genetically engineered mouse models driven by alterations in Braf, Pten, Cdkn2a, beta catenin, p53, and Nras that reflect the genetic diversity of the vast majority of human melanoma. We have backcrossed 7 of these models to C57Bl/6, generated tumors, and isolated a series of over 30 congenic mouse melanoma cell lines. Several independent lines have been isolated for each melanoma genotype generated. We are in the process of characterizing the tumor microenvironment in each of the models using flow cytometry and a novel quantitative imaging approach of histological sections. This series of congenic lines represents an ideal set of models for the study of cancer immunology and responses to immune therapies." @default.
- W4313385552 created "2023-01-06" @default.
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- W4313385552 date "2016-05-01" @default.
- W4313385552 modified "2023-09-25" @default.
- W4313385552 title "A comprehensive system of congenic mouse melanoma models for evaluation of immune therapies" @default.
- W4313385552 doi "https://doi.org/10.4049/jimmunol.196.supp.144.19" @default.
- W4313385552 hasPublicationYear "2016" @default.
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