← BioTransfer GEO Dataset Finder
GEO series

Carboplatin-resistance-related DNA damage repair prognostic gene signature and its association with immune infiltration in breast cancer

GSE280942 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2025/02/19 Platform GPL24676
Summary
Breast cancer is among the most prevalent malignant tumors globally, with carboplatin serving as a standard treatment option. However, resistance often compromises its efficacy. DNA damage repair (DDR) pathways are crucial in determining responses to treatment and are also associated with immune infiltration. This study aimed to identify the DDR genes involved in carboplatin resistance and to elucidate their effects on prognosis, immune infiltration, and drug sensitivity in breast cancer patients. We constructed the 3D-culture model of the MDA-MB-231 cell line, both resistant and sensitive to carboplatin, and identified a set of DDR genes. By integrating data from a public database, we established a prognostic signature comprising thirteen DDR genes. Our analysis indicated that this model is associated with immune infiltration patterns in breast cancer patients, particularly concerning CD8+ T cells and NK cells. Additionally, it demonstrated a significant correlation with sensitivity to other DDR-related drugs, suggesting its potential as a biomarker for treatment efficacy. Compared to the control group, TONSL-knockdown cell lines exhibited a diminished response to DNA-damaging agents, marked by a notable increase in DNA damage levels and enhanced drug sensitivity. Furthermore, single-cell analysis revealed elevated TONSL expression in dendritic and epithelial cells, particularly in triple-negative breast cancers.
Published in
Carboplatin-resistance-related DNA damage repair prognostic gene signature and its association with immune infiltration in breast cancer
Dong S, Li A, Pan R et al. · Frontiers in immunology 2025 · PMID 39944694 · doi:10.3389/fimmu.2025.1522149
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE280942_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 PRJNA1181516 and SRA study SRP542813. 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.