New breast cancer genes-discovery at the intersection of complex data sets.
The identification of genes that contribute to the oncogenic process, including those that determine risk of cancer onset, holds the key not only in understanding mechanisms of oncogenesis but also in the identification of new targets for therapeutic development. Traditional methods of genetics and molecular biology have been successful but are slow and laborious. The advent of genome technologies, leading to the generation of large data sets describing various properties of genes and proteins relevant to cancer phenotypes, has afforded a new opportunity for discovery. M. Vidal and colleagues have made use of this data, and in particular the integration of various forms of genome-scale data, to identify new genes involved in breast cancer.
Nevins
Joseph R
JR
Duke Institute for Genome Sciences & Policy, Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC 27708, USA. nevin001@mc.duke.edu
D019313:BRCA1 Protein / Q000378:metabolism; D001943:Breast Neoplasms / Q000235:genetics*; D004249:DNA Damage; D030541:Databases, Genetic; D016326:Extracellular Matrix Proteins / Q000378:metabolism; D005260:Female; D015972:Gene Expression Regulation, Neoplastic; D052138:Genes, Neoplasm / Q000235:genetics*; D020022:Genetic Predisposition to Disease; D006801:Humans; D018960:Hyaluronan Receptors / Q000378:metabolism; D009363:Neoplasm Proteins / Q000235:genetics
D019313:BRCA1 Protein; D016326:Extracellular Matrix Proteins; D018960:Hyaluronan Receptors; D009363:Neoplasm Proteins; C098946:hyaluronan-mediated motility receptor