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Dataset Information

1K

01223769650


ABSTRACT: Organisation EGAO00000000744

PROVIDER: EGAO00000000744 | EGA |

REPOSITORIES: EGA

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Publications

The somatic mutation profiles of 2,433 breast cancers refines their genomic and transcriptomic landscapes.

Pereira Bernard B   Chin Suet-Feung SF   Rueda Oscar M OM   Vollan Hans-Kristian Moen HK   Provenzano Elena E   Bardwell Helen A HA   Pugh Michelle M   Jones Linda L   Russell Roslin R   Sammut Stephen-John SJ   Tsui Dana W Y DW   Liu Bin B   Dawson Sarah-Jane SJ   Abraham Jean J   Northen Helen H   Peden John F JF   Mukherjee Abhik A   Turashvili Gulisa G   Green Andrew R AR   McKinney Steve S   Oloumi Arusha A   Shah Sohrab S   Rosenfeld Nitzan N   Murphy Leigh L   Bentley David R DR   Ellis Ian O IO   Purushotham Arnie A   Pinder Sarah E SE   Børresen-Dale Anne-Lise AL   Earl Helena M HM   Pharoah Paul D PD   Ross Mark T MT   Aparicio Samuel S   Caldas Carlos C  

Nature communications 20160510


The genomic landscape of breast cancer is complex, and inter- and intra-tumour heterogeneity are important challenges in treating the disease. In this study, we sequence 173 genes in 2,433 primary breast tumours that have copy number aberration (CNA), gene expression and long-term clinical follow-up data. We identify 40 mutation-driver (Mut-driver) genes, and determine associations between mutations, driver CNA profiles, clinical-pathological parameters and survival. We assess the clonal states  ...[more]

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