← BioTransfer GEO Dataset Finder
GEO series

Targeting SUV39H2 Exon Skipping Reversing CDK4/6 Inhibitor Resistance in Breast Cancer [CUT&Tag]

GSE300590 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing 4 samples Submitted 2025/09/16 Platform GPL29480
Summary
Breast cancer, the most prevalent malignancy among women, is predominantly estrogen receptor-positive (ER+), with ER+ cases accounting for 80% of the total. The combination of CDK4/6 inhibitors and endocrine therapy has become the standard treatment for advanced ER+ breast cancer. However, around 30% of patients exhibit intrinsic resistance, while others eventually develop acquired resistance leading to recurrence and metastasis. Here, we identified reduced exon 2 skipping of SUV39H2 in CDK4/6 inhibitor-resistant breast cancer cells, leading to increased SUV39H2 protein expression and consequent elevation of H3K9me3 levels, collectively suppressing the p53 pathway and promote resistance. Subsequently, we designed antisense oligonucleotides (ASOs) to modulate SUV39H2 exon skipping, which successfully reduced SUV39H2 levels and H3K9me3 modifications, thereby reactivating p53 target genes and restoring drug sensitivity in vitro and in vivo.Our results demonstrate that SUV39H2 serves as both a potential biomarker and therapeutic target for CDK4/6 inhibitor-resistant breast cancer, highlighting its clinical translational value.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE300590_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1281514 and SRA study SRP594176. 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.

+ 4 more — browse all 4 samples with per-sample file links →

Similar datasets

Search all human ChIP / ATAC / CUT&Tag 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.