← BioTransfer GEO Dataset Finder
GEO series

Targeted Ubiquitination and Degradation of GOLM1 by CC-885 Suppresses Hepatocellular Carcinoma Growth and Metastasis

GSE272556 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2024/10/11 Platform GPL30173
Summary
Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality, necessitating innovative therapeutic approaches. This study demonstrates that the compound CC-885 exerts potent anti-tumor effects in HCC both in vitro and in vivo. CC-885 significantly inhibited proliferation, migration, and invasion of HCC cells. In vivo, CC-885 markedly reduced tumor growth and angiogenesis in chick embryo and mouse xenograft models. Mechanistically, CC-885 selectively reduced GOLM1 protein levels via ubiquitin-mediated proteasomal degradation, without affecting its mRNA levels. GOLM1 knockdown mimicked the anti-proliferative effects of CC-885, while overexpression of GOLM1 conferred resistance to CC-885-induced apoptosis and growth inhibition. CC-885 facilitated the interaction between GOLM1 and the E3 ubiquitin ligase CRBN, promoting GOLM1 ubiquitination and degradation. Transcriptomic analyses revealed that CC-885 and GOLM1 knockdown modulated key pathways involved in apoptosis, NF-κB signaling, and cell proliferation. These findings highlight CC-885 as a promising therapeutic agent for HCC, primarily by facilitating the CRBN-dependent degradation of GOLM1, underscoring its potential for clinical application.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE272556_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 PRJNA1137341 and SRA study SRP520793. 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.