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Immune stromal components impede biological effectiveness of carbon ion therapy in a preclinical model of pancreatic ductal adenocarcinoma [bulk RNA-seq]

GSE296774 Mus musculus (mouse) RNA-seq (gene expression) 32 samples Submitted 2025/09/27 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 32 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
32 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.
Paper
Immune Stromal Components Impede Biological Effectiveness of Carbon Ion Therapy in a Preclinical Model of Pancreatic Ductal AdenocarcinomaMolecular cancer therapeutics · 2026
Summary (written by the submitters)
Pancreatic ductal adenocarcinoma (PDAC) often invades blood vessels, thrives in hypoxic conditions, and supports an immune microenvironment that is highly resistant to treatment. Carbon ion radiation therapy (CIRT) has potential to benefit patients with PDAC, since oxygen enhancement is not required due to high linear energy transfer (LET) radiation and the spread-out Bragg peak permits sparing of adjacent normal tissues.
Read the full summary ↓
However, we found that underlying factors impact the response of PDAC to CIRT. Clonal syngeneic KPC pancreatic tumors modeled a treatment-resistant microenvironment and showed limited response to CIRT in vivo. While KPC cell lines exhibited radiobiologic effectiveness (RBE) greater than 3, subcutaneous tumors in the mouse hind leg showed much lower RBEs - 1.3 based on tripling time and 1.7 based on quintupling time - at a LET of 75 keV/μm. Four days after CIRT, we observed widespread transcriptomic changes in the tumor immune microenvironment (TME), including increased infiltration of anti-tumor immune cells, elevated expression of anti-tumor T cell cytokines, MHC class I molecules, and co-stimulatory signals. Fewer immunologic changes were observed following photon irradiation. By seven days after CIRT, tumor-supportive transcriptomic programs - characterized by pro-tumor cytokines, M2 macrophages, and cancer-associated fibroblasts (CAFs) - emerged, promoting resistance and limiting the durability of tumor growth delay. These findings suggest that CIRT may offer a favorable platform compared to conventional photon radiation therapy for combining with immunotherapies.
Published in
Immune Stromal Components Impede Biological Effectiveness of Carbon Ion Therapy in a Preclinical Model of Pancreatic Ductal Adenocarcinoma
Swancutt KL, Elghonaimy EA, Nicholson JH et al. · Molecular cancer therapeutics 2026 · PMID 41084839 · doi:10.1158/1535-7163.MCT-25-0501
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 GSE296774_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 PRJNA1261032 and SRA study SRP584300. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 32 more — browse all 32 samples with per-sample file links →

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