Data · dataset · 2010
Growth Factor Stimulation Induces a Distinct ERalpha Cistrome Underlying Breast Cancer Endocrine Resistance
Listed in Harvard Dataverse
Description
INSTRUCTIONS: Please enter one of the following Topic Classifications in the section below: Bioinformatics & Computational Biology Genes & Environment Genetic & Molecular Epidemiology Medical Genomics Molecular Genetics Proteomics Statistical Genetics, Genomics, and Omics Estrogen receptor a (ERa) expression in breast cancer is predictive of response to endocrine therapy; however,resistance is common in ERa-positive tumors that overexpress the growth factor receptor ERBB2.
Even in the absence of estrogen, ERa can be activated by growth factors, including the epidermal growth factor (EGF). EGF induces a transcriptional program distinct from estrogen; however, the mechanism of the stimulus-specific response is unknown. Here we show that the EGF-induced ERa genomic targets, its cistromes, are distinct from those induced by estrogen in a process dependent on the transcription factor AP-1.
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The EGF-induced ERa cistrome specifically regulates genes found overexpressed in ERBB2-positive human breast cancers. This providesa potential molecular explanation for the endocrine therapy resistance seen in ERa-positive breast cancers that overexpress ERBB2. These results suggest a central role for ERa in hormone-refractory breast tumors dependent on growth factor pathway activation and favors the development of therapeutic strategies completely antagonizing ERa, as opposed to blocking its estrogen responsiveness alone.
[Keywords: ERBB2; breast cancer; cistrome; estrogen receptor; growth factors; transcription]
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.7910%2FDVN%2FDHHH0Y ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.7910/dvn/dhhh0y ↗
DOI / persistent id · from Harvard Dataverse
Catalogue records · 1
- Dataverse API dataverse.harvard.edu/api/datasets/:persistentId/?persistentId=doi%3A10.7910%2FDVN%2… ↗
metadata API · from Harvard Dataverse
Topics
- Inferred from text
- Cancer 75% · Mass spectrometry 65%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Harvard Dataverse | doi:10.7910/DVN/DHHH0Y | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[disease].local:disease:cancer | enrichment · Harvard Dataverse | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:mass-spectrometry | enrichment · Harvard Dataverse | keyword-concept-rules@1.0.0 | title+description (65%) |
| created_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| description | source · Harvard Dataverse | connector:dataverse@1.0.0 | /description |
| publication_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| title | source · Harvard Dataverse | connector:dataverse@1.0.0 | /name |
| updated_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| version_label | source · Harvard Dataverse | connector:dataverse@1.0.0 |