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Stromal-immune interactions promote immune suppression in intraperitoneal metastasis of ovarian carcinoma

GSE333880 Mus musculus (mouse) RNA-seq (gene expression) 19 samples Submitted 2026/06/11 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 19 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
19 samples: 5 × peritoneal fibroblasts from normal Col1a1-YFP+ mouse biol vs 5 × peritoneal fibroblasts from ID8 injected Col1a1-YFP+ mouse day 7, biol vs 5 × peritoneal fibroblasts from ID8 injected Col1a1-YFP+ mouse day 28, biol vs 4 × peritoneal fibroblasts from ID8 injected Col1a1-YFP+ mouse end stage, biolGroups 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.
Summary (written by the submitters)
High-grade serous (tubo-ovarian) carcinoma (HGSC) is the most lethal gynecological malignancy and the most common form of ovarian cancer. Most patients (75%) are diagnosed at advanced disease stages, with widespread peritoneal dissemination leading to poor prognosis. Cancer-associated fibroblasts (CAFs) were shown to modulate the immune microenvironment in multiple cancer types.
Read the full summary ↓
However, their interactions with immune cells and their role in facilitating peritoneal metastasis in ovarian cancer are largely unresolved. Here, we characterized the interactions between fibroblasts and immune cells that facilitate the formation of a hospitable niche in metastatic peritoneal ovarian cancer. We isolated and characterized CAFs from HGSC patients and mouse models, and investigated the events that promote peritoneal metastases. Our findings reveal the reciprocal communication between fibroblasts and T cells in distinct peritoneal metastatic niches, positioning the TIGIT-CD155 immune checkpoint signaling axis as a target for therapeutic intervention in metastatic HGSC. Our study provides a potential novel avenue for therapeutic intervention to inhibit metastatic spread of ovarian carcinoma.
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 GSE333880_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 PRJNA1473153 and SRA study SRP705689. Searching any of these in the dataset finder brings you back here.

Study design
5 × peritoneal fibroblasts from normal Col1a1-YFP+ mouse biol vs 5 × peritoneal fibroblasts from ID8 injected Col1a1-YFP+ mouse day 7, biol vs 5 × peritoneal fibroblasts from ID8 injected Col1a1-YFP+ mouse day 28, biol vs 4 × peritoneal fibroblasts from ID8 injected Col1a1-YFP+ mouse end stage, biol

Supports a between-group comparison across 19 samples.

How we read this: 4 replicated groups read from 19 sample titles; they account for 19 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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