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TGFβ signaling in cancer-associated fibroblasts drives a hepatic gp130-dependent pro-metastatic inflammatory program in colorectal cancer

GSE306627 Mus musculus (mouse) RNA-seq (gene expression) 42 samples Submitted 2025/09/03 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 42 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
42 samples: 12 conditions, mostly in duplicateGroups 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
TGFβ signaling in cancer-associated fibroblasts drives a hepatic gp130-dependent pro-metastatic inflammatory program in colorectal canceriScience · 2025
Summary (written by the submitters)
The Consensus Molecular Subtype 4 (CMS4) of colorectal cancer (CRC) has the worst prognosis and the highest frequency of hepatic metastases. It is characterized by abundant cancer-associated fibroblasts (CAFs) in the tumor microenvironment and active TGFβ signaling, but the molecular drivers of metastasis remain unclear. Here, we show that TGFβ signaling in CRC patient-derived CAFs from the primary tumor induces production of IL-6 family cytokines, particularly IL-6 and IL-11.
Read the full summary ↓
These cytokines stimulate hepatocytes to express myeloid chemoattractants, including SAA1, through gp130-dependent JAK/STAT signaling. This promotes neutrophil recruitment to the liver, potentially creating a pro-metastatic niche. This IL-6 family-JAK/STAT stromal signaling axis is active in both a murine model of CMS4 as well as in human CRC patients in vivo. Combined, our data reveal that TGFβ-driven CAF signaling actively contributes to the formation of a neutrophil-dependent, pre-metastatic hepatic niche in the metastatic phenotype of CMS4 CRC.
Published in
TGFβ signaling in cancer-associated fibroblasts drives a hepatic gp130-dependent pro-metastatic inflammatory program in colorectal cancer
Harryvan TJ, Abudukelimu S, Stouten I et al. · iScience 2025 · PMID 41216597 · doi:10.1016/j.isci.2025.113696
This dataset
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.

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 GSE306627_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1311518 and SRA study SRP613541. Searching any of these in the dataset finder brings you back here.

Study design
12 conditions, mostly in duplicate
Colon Tumor from injected KPN Liver Met Organ… ×6 Colon Tumor from injected KPN SI tumor Organo… ×6 KPN Organoid from SI tumor ×5 AKPT Organoid from SI tumor ×4 KPN Organoid from liver Met ×4 AK Organoid from Colon tumor ×3 Colon Tumor from injected AKPS SI tumor Organ… ×3 Rectal Tumor from injected AKPS SI tumor Orga… ×3 +4 more

Supports a between-group comparison across 42 samples.

How we read this: 12 replicated groups read from 42 sample titles; they account for 42 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

+ 2 more — browse all 42 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.