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Propafenone facilitates mitochondrial-associated ferroptosis and synergizes with immunotherapy in melanoma

GSE279924 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2024/10/26 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 20 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
20 samples: 5 × Ctrl vs 5 × PPF vs 5 × PD-1 vs 5 × ComGroups 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
Propafenone facilitates mitochondrial-associated ferroptosis and synergizes with immunotherapy in melanomaJournal for immunotherapy of cancer · 2024
Summary (written by the submitters)
Despite the successful application of immunotherapy, both innate and acquired resistance are typical in melanoma. Ferroptosis induction appears to be a potential strategy to enhance the effectiveness of immunotherapy. However, the relationship between the status of ferroptosis and the effectiveness of immunotherapy, as well as viable strategies to augment ferroptosis, remain unclear.
Read the full summary ↓
In this study, through large-scale drug screening of cardiovascular drugs, we identified propafenone, an anti-arrhythmia medication, as capable of synergizing with ferroptosis inducers in melanoma. Furthermore, we observed that propafenone, in combination with RSL3, collaboratively induces mitochondrial-associated ferroptosis. Mechanistically, propafenone transcriptionally upregulates mitochondrial HMOX1 via activation of the JNK/JUN signaling pathway under RSL3 treatment, leading to overloaded ferrous iron and ROS within the mitochondria. In xenograft models, the combination of propafenone with ferroptosis induction led to nearly complete tumor regression. Consistently, propafenone enhances immunotherapy-induced antitumor immunity and tumoral ferroptosis in tumor-bearing mice. Significantly, patients exhibiting high levels of ferroptosis/JUN/HMOX1 exhibited improved efficacy of immunotherapy and prolonged progression-free survival. These findings suggest that propafenone holds promise as a candidate drug for enhancing the efficacy of immunotherapy and other ferroptosis-targeted therapies in the treatment of melanoma.
Published in
Propafenone facilitates mitochondrial-associated ferroptosis and synergizes with immunotherapy in melanoma
Zhou Q, Dian Y, He Y et al. · Journal for immunotherapy of cancer 2024 · PMID 39581704 · doi:10.1136/jitc-2024-009805
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 GSE279924_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 PRJNA1175556 and SRA study SRP539810. Searching any of these in the dataset finder brings you back here.

Study design
5 × Ctrl vs 5 × PPF vs 5 × PD-1 vs 5 × Com

Supports a between-group comparison across 20 samples.

How we read this: 4 replicated groups read from 20 sample titles; they account for 20 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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