Identification and functional validation of oncogenic drivers are essential steps toward advancing cancer precision medicine. Here, we have presented a comprehensive analysis of the somatic genomic landscape of the widely used BRAFV600E- and NRASQ61K-driven mouse models of melanoma. By integrating the data with publically available genomic, epigenomic, and transcriptomic information from human clinical samples, we confirmed the importance of several genes and pathways previously implicated in human melanoma, including the tumor-suppressor genes phosphatase and tensin homolog (
Michael Olvedy, Julie C. Tisserand, Flavie Luciani, Bram Boeckx, Jasper Wouters, Sophie Lopez, Florian Rambow, Sara Aibar, Bernard Thienpont, Jasmine Barra, Corinna Köhler, Enrico Radaelli, Sophie Tartare-Deckert, Stein Aerts, Patrice Dubreuil, Joost J. van den Oord, Diether Lambrechts, Paulo De Sepulveda, Jean-Christophe Marine
Landscape of CNAs in genetically induced murine melanomas.
Heat map of CNAs in 70 BRAFV600E- and NRASQ61K-driven murine melanomas. The genetic background of each sample is color coded based on the legend provided at the bottom of the panel. The copy-number gains and losses are depicted in red and blue, respectively. Chromosome numbers are shown on the