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Adipose stromal cell-derived cancer-associated fibroblasts promote pancreatic adenocarcinoma through SFRP4 signaling

GSE314456 Homo sapiens (human) RNA-seq (gene expression) 20 samples Submitted 2026/01/12 Platform GPL21697
At a glance

RNA-seq (gene expression) · human · 20 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
Homo sapiens (human)
Topic
Pancreatic cancerThis series is part of our curated briefing on it.
Samples
20 samples: 8 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
Adipose Stromal Cell-Derived Cancer-Associated Fibroblasts Promote Pancreatic Adenocarcinoma Progression Through SFRP4 SignalingCancers · 2026
Summary (written by the submitters)
Progression of pancreatic ductal adenocarcinoma (PDAC) and other carcinomas relies on cancer-associated fibroblasts (CAFs). A subset of CAFs is derived from adipose stromal cells (ASCs) recruited by tumors and the ASC-CAF conversion has been associated with invasiveness and poor prognosis. To explore the underlying molecular mechanisms, we used a model based on primary ASC derived from human visceral adipose tissue co-cultured with human PDAC cell line Capan-1.
Read the full summary ↓
To investigate cancer progression in vivo, we also used mice orthotopically grafted with mouse KPC cells. Genomic analysis revealed that Capan-1 co-culture induces Wnt and TGFβ signaling and extracellular matrix (ECM) gene expression in ASC. We investigated the function of two markers of the fibroblastic transition highly induced by cancer cells: a long non-coding RNA LINC01614 and a Wnt signaling modulator SFRP4. By using ASC with either SFRP4 or LINC01614 knocked out (ko), we showed that both genes are required for Wnt / TGFβ signaling and ECM induction in ASCs by Capan1. Analysis of changes in Capan-1 genes that rely on LINC01614 and SFRP4 expression in ASC also identified the Wnt and TGF pathways. SFRP4 ko in ASCs suppressed both migration and invasion of Capan-1 cells. We show that tumors in SFRP4 ko mice have less desmoplasia, less epithelial dedifferentiation, reduced growth rate, and reduced progression to metastasis. We conclude that SFRP4 promotes cancer progression in pancreatic cancer and is a promising therapeutic target.
Published in
Adipose Stromal Cell-Derived Cancer-Associated Fibroblasts Promote Pancreatic Adenocarcinoma Progression Through SFRP4 Signaling
Rupert J, Cai L, Daquinag AC et al. · Cancers 2026 · PMID 41595155 · doi:10.3390/cancers18020233
This dataset
Open GSE314456 in finder → Find more human RNA-seq datasets → Pancreatic cancer landscape →
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 GSE314456_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 PRJNA1391351 and SRA study SRP656692. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41595155) ↗
Study design
8 conditions, mostly in duplicate
vASC+Capan-1_RFP ×3 vASC+Capan-1_GFP ×3 vASC ×2 vASC_LINC ×2 vASC_SFRP4 ×2 Capan-1 ×2 vASC_SFRP4ko+Capan-1_RFP ×2 vASC_SFRP4ko+Capan-1_GFP ×2 +2 more

Supports a between-group comparison across 18 samples.

How we read this: 8 replicated groups read from 20 sample titles; they account for 18 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
More Pancreatic cancer datasets

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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.