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Drug Screening in 3D Microtumors Reveals DDR1/2-MAPK12-GLI1 as a Vulnerability in Cancer-Associated Fibroblasts

GSE304108 Mus musculus (mouse) RNA-seq (gene expression) 29 samples Submitted 2025/08/04 Platform GPL16791Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 29 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
29 samples: 14 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
Drug screening in 3D microtumors reveals DDR1/2-MAPK12-GLI1 as a vulnerability in cancer-associated fibroblastsCell reports. Medicine · 2025
Summary (written by the submitters)
Interactions between cancer cells and surrounding stromal cells are critical for tumor biology and treatment response. We compare drug screening results from conventional 2D cancer cell lines with 3D tumor tissues and find that, on average, three times more drugs are effective in 3D microtumors. We confirmed the effectiveness of doramapimod, a compound that reduces 3D microtumor viability and suppresses tumor growth in mouse models, has no effect on cancer cell growth in monolayers.
Read the full summary ↓
Mechanistically, doramapimod targets DDR1/2 and MAPK12 kinases in cancer-associated fibroblasts (CAFs), decreasing extracellular matrix (ECM) production and enhancing interferon signaling. These kinases regulate ECM through GLI1 activity in CAFs, independently of canonical hedgehog signaling. Inhibiting the DDR1/2-MAPK12-GLI axis enhances the effectiveness of chemotherapy and immunotherapy in patient tumor slices and preclinical models. These findings highlight the importance of DDR1/2-MAPK12-GLI axis in CAF function and demonstrate the utility of 3D tissue models in identifying microenvironment-specific therapeutic targets.
Published in
Drug screening in 3D microtumors reveals DDR1/2-MAPK12-GLI1 as a vulnerability in cancer-associated fibroblasts
Nishida-Aoki N, Zhu S, Chan M et al. · Cell reports. Medicine 2025 · PMID 40975064 · doi:10.1016/j.xcrm.2025.102357
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 GSE304108_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 PRJNA1298926 and SRA study SRP604732. Searching any of these in the dataset finder brings you back here.

Study design
14 conditions, mostly in duplicate
E0771 Doramapimod Treated RNA ×3 KPC1 Vehicle Control RNA ×2 KPC1 Doramapimod Treated RNA ×2 E0771 Vehicle Control RNA ×2 Breast CAFs DMSO RNA ×2 Breast CAFs Doramapimod High RNA ×2 Breast CAFs DDR1/2, MAPK12 Non-targeting Cont… ×2 Breast CAFs DDR1 Knockdown RNA ×2 +6 more

Supports a case/control comparison: 15 samples read as cases, 12 as controls.

How we read this: 14 replicated groups read from 29 sample titles; they account for 29 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
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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.