← BioTransfer GEO Dataset Finder
GEO series

Identification of neoadjuvant chemotherapy response transcriptomic meta-signatures in invasive breast cancer in Latino patients

GSE280902 Homo sapiens Expression profiling by high throughput sequencing 58 samples 2025/12/17 GPL30173
Summary
Breast cancer is a highly heterogeneous disease with varying incidences and mortality rates among women from different populations worldwide. Neoadjuvant chemotherapy (NAC) is the standard treatment for locally advanced breast cancer; however, its efficacy differs significantly among breast cancer subtypes. This study aimed to investigate the genes linked to response to NAC in Colombian women with invasive breast cancer. RNA sequencing was performed on formalin-fixed paraffin-embedded tissues from 58 patients, categorized into 29 NAC responders and 29 non-responders. Differentially expressed genes (DEGs) were identified for each molecular subtype and their prognostic performance was evaluated using risk scores. Functional enrichment analysis revealed pathways related to the immune system in the non-responders. Cytokine target activity and immune cell population changes were assessed to understand the role of the TME in the response to treatment. APOD, CCL19, GPR132, FGF10, and HBB were identified as independent predictors of NAC response, with APOD showing a protective effect in LuminalB/Her2- patients. RT-PCR and immunohistochemistry were used to validate these findings. Drug sensitivity analysis showed varying sensitivities to potential therapeutic drugs among the non-responders. This study highlights the importance of identifying specific gene expression profiles and immune cell population changes to predict NAC response in patients with breast cancer, potentially leading to personalized and effective treatment strategies for the Colombian population
Download
NCBI GEO page ↗ Paper (PMID 41366282) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more human RNA-seq datasets →
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.