← BioTransfer GEO Dataset Finder
GEO series

Effects of LIFR inhibition using EC359 on TNBC cells in obesity conditions

GSE280092 Mus musculus Expression profiling by high throughput sequencing 9 samples Submitted 2024/11/14 Platform GPL24247
Summary
In a study using syngeneic BALB/c mice, the impact of a high-fat diet (HFD) on triple-negative breast cancer (TNBC) progression was investigated using 4T1 cells. Mice were fed either a low-fat diet (LFD) or HFD for six weeks before receiving orthotopic injections of 4T1 cells. Post-tumor formation, mice were randomized into three groups: LFD, HFD, and HFD with EC359 treatment. Results indicated that HFD significantly enhanced tumor growth, while EC359 treatment notably reduced HFD-induced TNBC progression. To explore underlying mechanisms, global RNA sequencing was performed on tumor tissues, revealing that HFD altered the expression of 578 genes compared to LFD, with 325 genes differentially expressed between the HFD and HFD + EC359 groups. Gene set enrichment analysis showed that HFD-related genes were linked to cytokine signaling, inflammation, stem cell pathways, TGFβ, metastasis, and epithelial–mesenchymal transition, all of which were downregulated with EC359 treatment.
Published in
Significance of LIF/LIFR Signaling in the Progression of Obesity-Driven Triple-Negative Breast Cancer
Randolph L, Joshi J, Rodriguez Sanchez AL et al. · Cancers 2024 · PMID 39518071 · doi:10.3390/cancers16213630
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE280092_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 9 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1176190 and SRA study SRP540232. 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.

+ 9 more — browse all 9 samples with per-sample file links →

Similar datasets

Search all mouse 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.