Ontology highlight
ABSTRACT: Background
Genes do not act in isolation but instead as part of complex regulatory networks. To understand how breast tumors adapt to the presence of the drug letrozole, at the molecular level, it is necessary to consider how the expression levels of genes in these networks change relative to one another.Methods
Using transcriptomic data generated from sequential tumor biopsy samples, taken at diagnosis, following 10-14 days and following 90 days of letrozole treatment, and a pairwise partial correlation statistic, we build temporal gene coexpression networks. We characterize the structure of each network and identify genes that hold prominent positions for maintaining network integrity and controlling information-flow.Results
Letrozole treatment leads to extensive
SUBMITTER: Penrod NM
PROVIDER: S-EPMC3654875 | biostudies-literature | 2013
REPOSITORIES: biostudies-literature