← BioTransfer GEO Dataset Finder
GEO series

CSNK1A1 phosphorylates ITGB5 to decrease the sensitivity of hepatocellular carcinoma to the multi-target tyrosine kinase inhibitor by disrupting the EPS15/EGFR complex

GSE228185 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2025/12/03 Platform GPL24676
Summary
Oral multi-target tyrosine kinase inhibitors (TKIs), such as sorafenib, suppressing tumor-cell proliferation and tumor angiogenesis have been approved to treat patients with hepatocellular carcinoma (HCC). Of note, only approximately 30% of patients can benefit from TKIs, and this population usually acquires drug resistance within 6 months. Here, we intend to explore the mechanism that associated with the regulating the sensitivity of HCC to TKIs. We revealed that the ITGB5 was abnormally expressed in HCC and contributed to decreasing the sensitivity of TKIs in HCC. Mechanically, the unbiased mass spectrometry analysis by using the ITGB5 antibodies reveals that ITGB5 interacted with EPS15 to prevent the degradation of EGFR in HCC cells, which activated the AKT-mTOR signaling and MAPK pathway to reduce the sensitivity of TKIs in HCC cells. In addition, the mass spectrometry analysis also showed that CSNK1A1 bound with ITGB5 in HCC cells. The further study indicated that ITGB5 increased the protein level of CSNK1A1 through the EGFR-AKT-mTOR pathway in HCC. And the upregulated CSNK1A1 phosphorylate ITGB5 to enhance the interaction between ITGB5 and EPS15 and activate the EGFR in HCC cells. Thus, we identified a positive feedback loop between ITGB5-EPS15-EGFR-CSNK1A1 in HCC cells. This finding provided a theory basis for the future development of therapeutic strategies to improve the anti-HCC efficacy of TKI.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE228185_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 PRJNA948449 and SRA study SRP429144. 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.