bioRxiv preprint doi: https://doi.org/10.1101/2020.03.09.980623; this version posted April 7, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. This article is a US Government work. It is not subject to copyright under 17 USC 105 and is also made available for use under a CC0 license. 1 SCLC_CellMiner: Integrated Genomics and Therapeutics Predictors of Small Cell Lung 2 Cancer Cell Lines based on their genomic signatures 3 4 Camille Tlemsani1,†,*, Lorinc Pongor1,†, Luc Girard4, Nitin Roper1, Fathi Elloumi1, Sudhir 5 Varma1, Augustin Luna5, Vinodh N. Rajapakse1, Robin Sebastian1, Kurt W. Kohn1, Julia 6 Krushkal2, Mirit Aladjem1, Beverly A. Teicher2, Paul S. Meltzer3, William C. Reinhold1, John D. 7 Minna4, Anish Thomas1 and Yves Pommier1, 6 8 9 1 Developmental Therapeutics Branch and Laboratory of Molecular Pharmacology, Center for 10 Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA 11 12 2 Biometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer 13 Institute, NIH, 9609 Medical Center Dr., Rockville, MD 20850, USA 14 15 3 Genetics Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, 16 USA 17 18 4 Hamon Center for Therapeutic Oncology Research, UT Southwestern Medical Center, Dallas, 19 TX 75390, USA 20 21 5 cBio Center, Division of Biostatistics, Department of Data Sciences, Dana-Farber Cancer 22 Institute, Boston, MA 02115, USA 23 24 6 To whom correspondence should be addressed: 25
[email protected] 26 27 * present address, INSERM U1016, Cochin Institute, Paris Descartes University, 75014 Paris 28 29 † Contributed equally to the study 30 31 32 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.03.09.980623; this version posted April 7, 2020.