← BioTransfer GEO Dataset Finder
GEO series

Glucagon-like peptide-1 receptor agonism is associated with improved lung cancer outcomes and tumor growth control

GSE302656 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2025/08/18 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 10 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
10 samples: 5 × GLP-1 Treated, tumo vs 5 × Control, tumoGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Glucagon-like peptide-1 receptor agonism improves lung cancer outcomes and tumor growth controlJCI insight · 2025
Summary (written by the submitters)
Emerging evidence indicates a reduced incidence of multiple cancers in users of Glucagon-like peptide-1 receptor agonists (GLP-1RAs), drugs widely used for glycemic control and weight reduction that modulate several key regulators of metabolism. We sought to examine their association with non-small cell lung cancer (NSCLC) outcomes in overweight and obese patients and gain mechanistic insights from mouse models.
Read the full summary ↓
Two clinical cohorts of overweight and obese NSCLC patients—one undergoing surgical resection (n=1,177, 71 GLP-1RA users) and another receiving immune checkpoint inhibitors (ICIs; n=300, 10 GLP-1RA users), were propensity score matched for relevant covariates and analyzed for clinical outcomes. GLP-1RA use was associated with increased recurrence-free survival in overweight and obese patients (HR=0.41 [95%CI=0.16-1.04], p=0.026) after lobectomy. Further, GLP-1RA treatment reduced tumor burden in obese but not normal-weight mice and altered the frequency and phenotypes of leukocyte populations and gene expression patterns in obese tumors, crucial to cancer progression and anti-tumor immunity. Concurrent GLP-1RA and immunotherapy was associated with improved overall (0.41 [0.16-1.01], 0.027) and progression-free survival (HR=0.31, [0.10-0.94], 0.019) for patients with advanced NSCLC. GLP-1RAs may enhance lung cancer-specific clinical outcomes and augment immunotherapy efficacy. Preclinical evidence suggests this effect is obesity-restricted and mediated by immune modulation of the tumor microenvironment.
Published in
Glucagon-like peptide-1 receptor agonism improves lung cancer outcomes and tumor growth control
Pachimatla AG, Fitzgerald B, Ogidigo J et al. · JCI insight 2025 · PMID 40857107 · doi:10.1172/jci.insight.195484
This dataset
Open GSE302656 in finder → Find more mouse RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE302656_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1291679 and SRA study SRP600905. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40857107) ↗
Study design
5 × GLP-1 Treated, tumo vs 5 × Control, tumo

Supports a case/control comparison: 5 samples read as cases, 5 as controls.

How we read this: 2 replicated groups read from 10 sample titles; they account for 10 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

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.