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FLASH proton radiotherapy mitigates inflammatory and fibrotic pathways and preserves cardiac function in a preclinical mouse model of radiation-induced heart disease

GSE261367 Mus musculus (mouse) RNA-seq (gene expression) 11 samples Submitted 2024/07/11 Platform GPL15103
At a glance

RNA-seq (gene expression) · mouse · 11 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
11 samples: 4 × N vs 4 × S-PRT vs 3 × F-PRTGroups 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
FLASH Proton Radiation Therapy Mitigates Inflammatory and Fibrotic Pathways and Preserves Cardiac Function in a Preclinical Mouse Model of Radiation-Induced Heart DiseaseInternational journal of radiation oncology, biology, physics · 2024
Summary (written by the submitters)
Purpose: Studies during the past 9 years suggest that delivering radiation at dose rates exceeding 40 Gy/s, known as “FLASH” radiotherapy, enhances the therapeutic index of radiation therapy (RT) by decreasing normal tissue damage while maintaining tumor response compared to conventional (or standard) RT. This study demonstrates the cardioprotective benefits of FLASH proton RT (F-PRT) compared to standard (conventional) proton RT (S-PRT), as evidenced by reduced acute and chronic cardiac toxicities.
Read the full summary ↓
Methods and Materials: Mice were imaged using cone beam computed tomography to precisely determine the heart’s apex as the beam isocenter. Irradiation was conducted utilizing a shoot-through technique with a 5mm collimator. Bulk RNA-sequencing was performed on non-irradiated (NR) samples, as well as apexes treated with F-PRT or S-PRT, at 2 weeks following a single 40 Gy dose. Inflammatory responses were assessed through multiplex cytokine/chemokine microbead assay and immunofluorescence analyses. Levels of perivascular fibrosis were quantified using Masson’s Trichrome and Picrosirius red staining. Additionally, cardiac tissue functionality was evaluated by 2D echocardiograms at 8 and 30 weeks post-PRT. Results: Radiation damage was specifically localized in the heart’s apex. RNA profiling of cardiac tissues treated with PRT revealed that S-PRT induced unique pathways associated with DNA damage response, induction of tumor necrosis factor superfamily and inflammatory response, while F-PRT primarily affected cytoplasmic translation, mitochondrion organization and ATP synthesis. Notably, F-PRT led to a milder inflammatory response, accompanied by significantly attenuated changes in TGF-1 and SMA levels. Critically, F-PRT decreased collagen deposition, and better preserved cardiac functionality compared to S-PRT. Conclusions: This study demonstrated that F-PRT reduces the induction of an inflammatory environment with lower expression of inflammatory cytokines and profibrotic factors. Importantly, the results indicate that F-PRT better preserves cardiac functionality, as confirmed by echocardiography analysis, while also mitigating the development of long-term fibrosis.
Published in
FLASH Proton Radiation Therapy Mitigates Inflammatory and Fibrotic Pathways and Preserves Cardiac Function in a Preclinical Mouse Model of Radiation-Induced Heart Disease
Kim K, Kim MM, Skoufos G et al. · International journal of radiation oncology, biology, physics 2024 · PMID 38364948 · doi:10.1016/j.ijrobp.2024.01.224
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 GSE261367_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 PRJNA1086574 and SRA study SRP494633. Searching any of these in the dataset finder brings you back here.

Study design
4 × N vs 4 × S-PRT vs 3 × F-PRT

Supports a between-group comparison across 11 samples.

How we read this: 3 replicated groups read from 11 sample titles; they account for 11 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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