Assessment of genomic copy number alterations in breast cancer

The aim of this study was to assess genomic copy number alterations in a panel of breast cancer cell lines. These data were used to identify common aberrations associated with breast cancer, and also to identify aberrations associated with response to therapeutic compounds.

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

1 Dataset 4 Publications

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00010000490	Affymetrix Genome-Wide Human SNP Array 6.0 data	Affymetrix 6.0-	19

Publications	Citations
Modeling precision treatment of breast cancer. Daemen A, Griffith OL, Heiser LM, Wang NJ, Enache OM, Sanborn Z, Pepin F, Durinck S, Korkola JE, Griffith M, Hur JS, Huh N, Chung J, Cope L, Fackler MJ, Umbricht C, Sukumar S, Seth P, Sukhatme VP, Jakkula LR, Lu Y, Mills GB, Cho RJ, Collisson EA, van't Veer LJ, Spellman PT, Gray JW. Genome Biol 14: 2013 R110	183
A community effort to assess and improve drug sensitivity prediction algorithms. Costello JC, Heiser LM, Georgii E, Gönen M, Menden MP, Wang NJ, Bansal M, Ammad-ud-din M, Hintsanen P, Khan SA, Mpindi JP, Kallioniemi O, Honkela A, Aittokallio T, Wennerberg K, NCI DREAM Community, Collins JJ, Gallahan D, Singer D, Saez-Rodriguez J, Kaski S, Gray JW, Stolovitzky G. Nat Biotechnol 32: 2014 1202-1212	376
Gene isoforms as expression-based biomarkers predictive of drug response in vitro. Safikhani Z, Smirnov P, Thu KL, Silvester J, El-Hachem N, Quevedo R, Lupien M, Mak TW, Cescon D, Haibe-Kains B. Nat Commun 8: 2017 1126	31
More than fishing for a cure: The promises and pitfalls of high throughput cancer cell line screens. Ling A, Gruener RF, Fessler J, Huang RS. Pharmacol Ther 191: 2018 178-189	25