← BioTransfer GEO Dataset Finder
GEO series

Differential oestrogen receptor binding is associated with clinical outcome in breast cancer

GSE32222 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing 62 samples Submitted 2012/01/04 Platform GPL10999
Summary
Oestrogen receptor-a (ER) is the defining and driving transcrip- tion factor in the majority of breast cancers and its target genes dictate cell growth and endocrine response, yet genomic under- standing of ER function has been restricted to model systems1­3. Here we map genome-wide ER-binding events, by chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq), in primary breast cancers from patients with different clinical outcomes and in distant ER-positive metastases. We find that drug-resistant cancers still recruit ER to the chromatin, but that ER binding is a dynamic process, with the acquisition of unique ER-binding regions in tumours from patients that are likely to relapse. The acquired ER regulatory regions associated with poor clinical outcome observed in primary tumours reveal gene signatures that predict clinical outcome in ER-positive disease exclusively. We find that the differential ER-binding programme observed in tumours from patients with poor outcome is not due to the selection of a rare subpopulation of cells, but is due to the FOXA1-mediated reprogramming of ER binding on a rapid time- scale. The parallel redistribution of ER and FOXA1 cis-regulatory elements in drug-resistant cellular contexts is supported by histological co-expression of ER and FOXA1 in metastatic samples. By establishing transcription-factor mapping in primary tumour material, we show that there is plasticity in ER-binding capacity, with distinct combinations of cis-regulatory elements linked with the different clinical outcomes.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE32222_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 62 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA147213 and SRA study SRP032421. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 62 more — browse all 62 samples with per-sample file links →

Similar datasets

Search all human ChIP / ATAC / CUT&Tag datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.