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Updated: Mar 1, 2026
Spatial and Temporal Control of Murine Melanoma Initiation from Mutant Melanocyte Stem Cells
Published on: June 7, 2019
Genetically engineered mouse models of melanoma
Eva Pérez-Guijarro1, Chi-Ping Day1, Glenn Merlino1
1Laboratory of Cancer Biology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Abstract:
Melanoma is a complex disease that exhibits highly heterogeneous etiological, histopathological, and genetic features, as well as therapeutic responses. Genetically engineered mouse (GEM) models provide powerful tools to unravel the molecular mechanisms critical for melanoma development and drug resistance. Here, we expound briefly the basis of the mouse modeling design, the available technology for genetic engineering, and the aspects influencing the use of GEMs to model melanoma. Furthermore, we describe in detail the currently available GEM models of melanoma. Cancer 2017;123:2089-103. © 2017 American Cancer Society.
Insights
Genetically engineered mouse models are crucial for understanding melanoma complexity and drug resistance. This review details their design, technology, and current applications in melanoma research.
Area of Science:
- Oncology
- Genetics
- Animal Models
Background:
- Melanoma is a complex cancer with diverse genetic and therapeutic profiles.
- Genetically engineered mouse (GEM) models offer insights into melanoma development and drug resistance.
Purpose of the Study:
- To provide a comprehensive overview of GEM models for melanoma research.
- To discuss the design, technology, and application of GEMs in studying melanoma.
Main Methods:
- Review of existing literature on GEM models in melanoma.
- Analysis of genetic engineering technologies relevant to mouse modeling.
- Description of available GEM models for melanoma.
Main Results:
- GEM models are essential for dissecting molecular mechanisms of melanoma.
- Various GEM models exist, catering to different research needs.
- Understanding GEM model design is key to their effective use.
Conclusions:
- GEM models are invaluable tools for advancing melanoma research.
- Continued development of GEMs will enhance our understanding of melanoma heterogeneity and treatment resistance.
