Modeling Genomic Diversity and Tumor Dependency in Malignant Melanoma
Research Article Modeling Genomic Diversity and Tumor Dependency in Malignant Melanoma William M. Lin,1,3,5 Alissa C. Baker,1,3 Rameen Beroukhim,1,3,5 Wendy Winckler,1,3,5 Whei Feng,1,3,5 Jennifer M. Marmion,7 Elisabeth Laine,8 Heidi Greulich,1,3,5 Hsiuyi Tseng,1,3 Casey Gates,5 F. Stephen Hodi,1 Glenn Dranoff,1 William R. Sellers,1,6 Roman K. Thomas,9,10 Matthew Meyerson,1,3,4,5 Todd R. Golub,2,3,5 Reinhard Dummer,8 Meenhard Herlyn,7 Gad Getz,3,5 and Levi A. Garraway1,3,5 Departments of 1Medical Oncology and 2Pediatric Oncology and 3Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Harvard Medical School; 4Department of Pathology, Harvard Medical School, Boston, Massachusetts; 5The Broad Institute of M.I.T. and Harvard; 6Novartis Institutes for Biomedical Research, Cambridge, Massachusetts; 7Cancer Biology Division, Wistar Institute, Philadelphia, Pennsylvania; 8Department of Dermatology, University of Zurich Hospital, Zu¨rich, Switzerland; 9Max Planck Institute for Neurological Research with Klaus Joachim Zulch Laboratories of the Max Planck Society and the Medical Faculty of the University of Cologne; and 10Center for Integrated Oncology and Department I for Internal Medicine, University of Cologne, Cologne, Germany Abstract tumorigenesis have been derived from functional studies involving The classification of human tumors based on molecular cultured human cancer cells (e.g., established cell lines, short-term cultures, etc.). Despite their limitations, cancer cell line collections criteria offers tremendous clinical potential; however, dis- cerning critical and ‘‘druggable’’ effectors on a large scale will whose genetic alterations reflect their primary tumor counterparts also require robust experimental models reflective of tumor should provide malleable proxies that facilitate mechanistic genomic diversity.
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