title: Transcriptional networks inferred from molecular signatures of breast cancer.
abstract: Global genomic approaches in cancer research have provided new and innovative strategies for the identification of signatures that differentiate various types of human cancers. Computational analysis of the promoter composition of the genes within these signatures may provide a powerful method for deducing the regulatory transcriptional networks that mediate their collective function. In this study we have systematically analyzed the promoter composition of gene classes derived from previously established genetic signatures that recently have been shown to reliably and reproducibly distinguish five molecular subtypes of breast cancer associated with distinct clinical outcomes. Inferences made from the trends of transcription factor binding site enrichment in the promoters of these gene groups led to the identification of regulatory pathways that implicate discrete transcriptional networks associated with specific molecular subtypes of breast cancer. One of these inferred pathways predicted a role for nuclear factor-kappaB in a novel feed-forward, self-amplifying, autoregulatory module regulated by the ERBB family of growth factor receptors. The existence of this pathway was verified in vivo by chromatin immunoprecipitation and shown to be deregulated in breast cancer cells overexpressing ERBB2. This analysis indicates that approaches of this type can provide unique insights into the differential regulatory molecular programs associated with breast cancer and will aid in identifying specific transcriptional networks and pathways as potential targets for tumor subtype-specific therapeutic intervention.
authors.affiliation: National Cancer Institute, Bethesda, MD 20892-5065, USA.
authors.forename: Ron
authors.initials: R
authors.lastname: Tongbai
authors.forename: Gila
authors.initials: G
authors.lastname: Idelman
authors.forename: Silje H
authors.initials: SH
authors.lastname: Nordgard
authors.forename: Wenwu
authors.initials: W
authors.lastname: Cui
authors.forename: Jonathan L
authors.initials: JL
authors.lastname: Jacobs
authors.forename: Cynthia M
authors.initials: CM
authors.lastname: Haggerty
authors.forename: Stephen J
authors.initials: SJ
authors.lastname: Chanock
authors.forename: Anne-Lise
authors.initials: AL
authors.lastname: Børresen-Dale
authors.forename: Gary
authors.initials: G
authors.lastname: Livingston
authors.forename: Patrick
authors.initials: P
authors.lastname: Shaunessy
authors.forename: Chih-Hung
authors.initials: CH
authors.lastname: Chiang
authors.forename: Vessela N
authors.initials: VN
authors.lastname: Kristensen
authors.forename: Sven
authors.initials: S
authors.lastname: Bilke
authors.forename: Kevin
authors.initials: K
authors.lastname: Gardner
mesh_terms: D014408:Biomarkers, Tumor / Q000235:genetics*; D001943:Breast Neoplasms / Q000235:genetics*; D045744:Cell Line, Tumor; D047369:Chromatin Immunoprecipitation; D016000:Cluster Analysis; D018450:Disease Progression; D005260:Female; D053263:Gene Regulatory Networks / Q000235:genetics*; D052138:Genes, Neoplasm; D006801:Humans; D025341:Principal Component Analysis; D011401:Promoter Regions, Genetic / Q000235:genetics*
chemical_list: D014408:Biomarkers, Tumor