← BioTransfer GEO Dataset Finder
GEO series

Context-dependent effect of glucocorticoid receptor activity shapes ovarian cancer cell plasticity and therapy response

GSE309650 Homo sapiens Expression profiling by high throughput sequencing 12 samples 2026/03/04 GPL24676
Summary
The phenotypic plasticity of cancer cells, i.e. their adaptability to a variable/ stressful environment, is fundamental for disease progression/aggressiveness. Here we revealed that the glucocorticoid receptor (GR, NR3C1), a key player in the human response to stress, controls proliferation, morphology, motility/invasion, and the gene expression profile of high-grade serous ovarian carcinoma (hereafter OC) cells. By modulating glucose metabolism, GR acts as a tumor suppressor delaying ovarian cancer growth under 3D-settings. Conversely, under 2D conditions GR acts as a tumor promoter, driving cell mesenchymalization, increasing cell motility and chemoresistance. Strikingly, modulators of glucose metabolism as metformin and 2-deoxyglucose, are alone sufficient to induce similar cell behavioural changes. So, in ovarian cancer a GR-glucose metabolism axis modulates a escaping signalling response triggered by stressful (3D overgrowth, starvation) condition.
Download
NCBI GEO page ↗ Paper (PMID 41821050) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more human RNA-seq datasets →
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.