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Suppression of the myofibroblastic cancer-associated fibroblast phenotype to enhance anti-PD-1 response

GSE316373 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2026/09/15 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 18 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
18 samples
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.
Summary (written by the submitters)
Cancer-associated fibroblasts (CAFs) are key modulators of tumor growth, the tumor immune context, and treatment response. CAFs take on diverse phenotypes with distinct functions. Myofibroblastic CAFs (myCAFs) regulate extracellular matrix remodeling, while inflammatory CAFs (iCAFs) modulate immune infiltration. Further studies are required to validate biomarkers of CAF phenotypes and to identify means to therapeutically manipulate CAFs.
Read the full summary ↓
Here we identify disease-specific markers of colorectal CAFs that are functionally distinct, biologically identifiable, correlate with clinically relevant markers of disease, and can be therapeutically altered in vivo. High stromal expression of myCAF markers correlated with reduced infiltration of CD8+ T lymphocytes into the epithelial compartment compared to tumors with high stromal expression of iCAF markers. Nilotinib treatment inhibited myogenesis regulators myocardin and myocardin-related transcription factor A, which correlated with reduced expression of myCAF markers and extracellular matrix proteins, and decreased tumor size in colorectal cancer-bearing mice when combined with anti-PD-1 therapy. These results highlight the feasibility of targeting CAF functions to improve therapeutic response. We also identified PD-1 as a potential molecule that activates myocardin and myCAF expression, indicating a potential mechanism for increased response to the combination with anti-PD-1 therapy.
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 GSE316373_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 PRJNA1402379 and SRA study SRP661903. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 18 more — browse all 18 samples with per-sample file links →

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