← BioTransfer GEO Dataset Finder
GEO series

Overcoming resistance to anti-VEGF therapy via epigenetic regulation of BARD1 [OVCAR8ip1 BARD1 overexpression]

GSE247653 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2025/06/16 Platform GPL24676
Summary
Despite widespread use of anti-vascular endothelial growth factor (VEGF) antibody (AVA) for cancer therapy, most patients develop progressive disease after initial response. Therefore, novel strategies are needed to understand and overcome AVA resistance. Here, we identify an unexpected role of BRCA1-associated RING domain 1 (BARD1) in overcoming adaptive resistance to AVA. We investigated the effects of epigenetic modulation on cellular response to AVA; in particular, the molecular effects of both global and targeted DNA methylation. Using in vitro assays, BARD1 was identified as being specifically involved in angiogenesis. Sequential treatment with azacytidine overcame AVA therapy resistance in cancer models in vivo. We further demonstrated that specifically targeting BARD1 with either small-interfering RNA or CpG-targeted demethylation reduced tumor growth when combined with AVA therapy (compared with AVA alone) in mouse models of ovarian cancer. These results identify a previously unrecognized role for BARD1 in tumor angiogenesis and show that targeted restoration of BARD1 can enhance the efficacy of AVA therapy in cancer models.
Published in
Epigenetic modulation of BARD1 to enhance anti-VEGF therapy
Bayraktar E, Rodriguez-Aguayo C, Stur E et al. · Cell reports. Medicine 2025 · PMID 40907495 · doi:10.1016/j.xcrm.2025.102329
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE247653_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 PRJNA1039887 and SRA study SRP471642. 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.