We identified 40 mutation-driver (Mut-driver) genes, and determined associations between mutations, driver CNA profiles, clinical-pathological parameters and survival. We assessed the clonal states of Mut-driver mutations, and estimated levels of intra-tumour heterogeneity using mutant-allele fractions. The results emphasize the importance of genome-based stratification of breast cancer, and have important implications for designing therapeutic strategies.
Referece: Pereira et al. (2016) The somatic mutation profiles of 2,433 breast cancers refines their genomic and transcriptomic landscapes. Nature Communications
Who controls access to this dataset
For each dataset that requires controlled access, there is a corresponding Data Access Committee (DAC) who determine access permissions. Access to actual data files is not managed by the EGA. If you need to request access to this data set, please contact:
METABRIC data access committee
Contact person: Marion Karniely
Email: metabric [at] cruk [dot] cam [dot] ac [dot] uk
More details: EGAC00001000484