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DeCAF redefines fibroblast states uncovering multidimensional tumor-stroma relationships driving clinical tumor progression and immunotherapy response

GSE311789 Homo sapiens (human) RNA-seq (gene expression) 142 samples Submitted 2025/12/18 Platform GPL30173Platform GPL24676Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 142 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)
Samples
142 samples: 136 × PDAC, Human Tumor, sample vs 6 × PDAC, Human Tumor, scRNA-Seq sampleGroups 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
DeCAF defines clinical fibroblast subtypes and multidimensional tumor-stroma crosstalk shaping prognosis and immunotherapy responseCell reports. Medicine · 2026
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
DeCAF defines clinical fibroblast subtypes and multidimensional tumor-stroma crosstalk shaping prognosis and immunotherapy response
Peng XL, McCabe IC, Kharitonova EV et al. · Cell reports. Medicine 2026 · PMID 41707654 · doi:10.1016/j.xcrm.2026.102611
This dataset
Open GSE311789 in finder → Find more human 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 GSE311789_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 PRJNA1370906. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41707654) ↗
Study design
136 × PDAC, Human Tumor, sample vs 6 × PDAC, Human Tumor, scRNA-Seq sample

Supports a between-group comparison across 142 samples.

How we read this: 2 replicated groups read from 142 sample titles; they account for 142 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

+ 102 more — browse all 142 samples with per-sample file links →

Datasets on a similar topic

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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.