Linked Life Data

19261198

Source:http://linkedlifedata.com/resource/pubmed/id/19261198

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2009-3-5
pubmed:abstractText
Breast cancer is a heterogeneous disease and classification is important for clinical management. At least five subtypes can be identified based on unique gene expression patterns; this subtype classification is distinct from the histopathological classification. The transcription factor network(s) required for the specific gene expression signature in each of these subtypes is currently being elucidated. The transcription factor network composed of the oestrogen (estrogen) receptor alpha (ERalpha), FOXA1 and GATA3 may control the gene expression pattern in luminal subtype A breast cancers. Breast cancers that are dependent on this network correspond to well-differentiated and hormone-therapy-responsive tumours with good prognosis. In this review, we discuss the interplay between these transcription factors with a particular emphasis on FOXA1 structure and function, and its ability to control ERalpha function. Additionally, we discuss modulators of FOXA1 function, ERalpha-FOXA1-GATA3 downstream targets, and potential therapeutic agents that may increase differentiation through FOXA1.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1462-3994
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
11
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
e8
pubmed:dateRevised
2011-4-21
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
FOXA1 in breast cancer.
pubmed:affiliation
Departments of Surgery, Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202, USA. hnakshat@iupui.edu
pubmed:publicationType
Journal Article, Review, Research Support, N.I.H., Extramural