← BioTransfer GEO Dataset Finder
GEO series

Docetaxel treatment upregulates estrogen receptor expression in triple negative breast cancer cells via activating arachidonic acid pathway

GSE296838 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2025/11/03 Platform GPL34281
Summary
Triple negative breast cancer (TNBC), the most aggressive subtype of breast cancer,accounts for approximately 15% of all cases. TNBC remains challenging due to a lack of effective treatment strategies, which significantly impacts patient survival outcomes. This study investigates a novel combination therapy using Docetaxel, a microtubule depolymerization inhibitor, and Tamoxifen, an estrogen receptor (ER) antagonist, targeting TNBC, as well as elucidate molecular mechanisms. Synergistic effects of Docetaxel with Tamoxifen in TNBC cells were analyzed at SynergyFinder. Their anti-tumor growth effects were determined in vivo using both nude mice and Balb/c mice. RNA-Seq was conducted to analyze the pathways altered by Docetaxel treatment in TNBC cells. We demonstrate that Docetaxel sensitizes TNBC cells to Tamoxifen, despite the typical ER-negative status of TNBC. Here, we reveal that Docetaxel activates the arachidonic acid signaling pathway, leading to increased prostaglandin E2 (PGE2) production and subsequent upregulation of c-Jun phosphorylation, which in turn induces ESR1 expression. This ERα induction enables Tamoxifen to effectively inhibit TNBC cell proliferation. Given the clinical availability of both drugs, our findings propose a promising, translationally feasible combination strategy to address the therapeutic limitations of TNBC, offering a novel approach to improve outcomes for this high-risk patient population.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE296838_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1261797 and SRA study SRP584762. 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.

+ 6 more — browse all 6 samples with per-sample file links →

Similar datasets

Search all human RNA-seq 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.