← BioTransfer GEO Dataset Finder
GEO series

Escape from TGF-β-induced senescence promotes aggressive hallmarks in epithelial hepatocellular carcinoma cells

GSE261099 Homo sapiens Expression profiling by high throughput sequencing 9 samples Submitted 2025/03/17 Platform GPL30173
Summary
Transforming growth factor-β (TGF-β) signaling and cellular senescence are key hallmarks of hepatocellular carcinoma (HCC) pathogenesis. While provoking senescence-associated growth arrest in epithelial HCC cells, elevated TGF-β activity paradoxically correlates with aggressiveness and poor prognosis in advanced tumors. Whether the transition between these dichotomous functions involves bypassing the senescence barrier during disease progression remains unknown. Exploiting the epithelial HCC cell line Huh7, we demonstrate that chronic TGF-β exposure prompts escape from Smad3-mediated senescence, leading to the development of TGF-β resistance. The resistant state is characterized by restoration of proliferative capacity and acquisition of molecular and functional traits of mesenchymal cells, coinciding with hybrid EMT, increased invasiveness, and metastasis. Mechanistically, resistant cells exhibit defective signaling of Smad molecules, as ectopic activation of the TGF-β/Smad3 axis reinstates TGF-β sensitivity. Gene expression landscape profiling reveals both shared and distinct gene signatures associated with senescent and TGF-β resistant states. Importantly, genetic ablation and molecular studies identify GRM8 (Glutamate Metabotropic Receptor 8) as a critical modulator of the resistance phenomenon, potentially by impairing subcellular spatiotemporal dynamics of Smad activity. Our findings unveil a novel phenomenon wherein epithelial HCC cells may exploit senescence evasion as a mechanism to oppose TGF-β anti-tumor responses and progress towards more aggressive HCC phenotypes.
Published in
Escape from TGF-β-induced senescence promotes aggressive hallmarks in epithelial hepatocellular carcinoma cells
Kalyoncu M, Demirci D, Eris S et al. · Molecular oncology 2025 · PMID 40083231 · doi:10.1002/1878-0261.70021
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE261099_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 9 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1085286 and SRA study SRP493932. 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.

+ 9 more — browse all 9 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.