← BioTransfer GEO Dataset Finder
GEO series

DNA structure-specific endonuclease FEN1 as a novel drug target in tamoxifen resistant breast cancer.

GSE95302 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing; Methylation profiling by high throughput sequencing; Expression profiling by high throughput sequencing 33 samples Submitted 2020/06/01 Platform GPL11154Platform GPL16791
Summary
Estrogen receptor α (ERα) is a key transcriptional regulator in the majority of breast cancers. ERα-positive patients are frequently treated with tamoxifen, but resistance is common. In this study, we refined a previously identified 111-gene outcome prediction-classifier, revealing FEN1 as the strongest determining factor in ERα-positive patient prognostication. FEN1 levels were predictive of outcome in tamoxifen-treated patients, and FEN1 played a causal role in ERα-driven cell growth. FEN1 impacted the transcriptional-activity of ERα by facilitating coactivator recruitment to the ERα transcriptional complex. FEN1 blockade induced proteasome-mediated degradation of activated ERα, resulting in loss of ERα-driven gene expression and eradicated tumor cell proliferation. Finally, a high-throughput 465,195 compound screen identified a novel FEN1 inhibitor, which effectively blocked ERα-function and inhibited proliferation of tamoxifen-resistant cell lines as well as ex-vivo cultured ERα-positive breast tumors. Collectively, these results provide therapeutic proof-of-principle for FEN1 blockade in tamoxifen-resistant breast cancer.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE95302_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 33 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA376593 and SRA study SRP100642. 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.

+ 33 more — browse all 33 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.