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Capmatinib shows superior efficacy for MET-fusion driven pediatric high-grade glioma and synergizes with radiotherapy [RNA-seq]

GSE247864 Mus musculus (mouse) RNA-seq (gene expression) 36 samples Submitted 2024/06/12 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 36 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
36 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
Capmatinib is an effective treatment for MET-fusion driven pediatric high-grade glioma and synergizes with radiotherapyMolecular cancer · 2024
Summary (written by the submitters)
Pediatric high-grade glioma (pHGG) is the most frequent malignant brain tumor in children and can be subclassified into multiple entities. Fusion genes activating the MET receptor tyrosine kinase often occur in infant-type hemispheric glioma (iHG) but also in other pHGGs, and are associated with devastating morbidity and mortality. To identify new treatment options, we established and characterized two novel orthotopic mouse models harboring distinct MET fusions.
Read the full summary ↓
These included an immunocompetent, murine allograft model and patient-derived orthotopic xenografts (PDOX) from a MET-fusion iHG patient who failed conventional therapy and targeted therapy with cabozantinib. With these models, we analyzed the efficacy and pharmacokinetic properties of three MET inhibitors, capmatinib, crizotinib and cabozantinib, alone or combined with radiotherapy (RT). The PDOX models recapitulated the poor efficacy of cabozantinib experienced by the patient. In contrast, capmatinib showed superior brain pharmacokinetic properties and greater in vitro and in vivo efficacy than cabozantinib or crizotinib. Strikingly, capmatinib treated mice displayed long-term progression-free survival (PFS) when combined with radiotherapy in two complementary mouse models. Molecular analysis of the treated tumors revealed impaired DNA repair after MET inhibition as a plausible mechanism of radiosensitization. We comprehensively investigated the combination of MET inhibition and radiotherapy as a novel treatment option for MET-driven pHGG. Our seminal preclinical data package includes pharmacokinetic characterization, recapitulation of clinical outcomes, coinciding results from multiple complementing in vivo studies and a plausible molecular mechanism. We thereby demonstrate the groundbreaking efficacy of capmatinib and radiation, as a highly promising concept for future clinical trials.
Published in
Capmatinib is an effective treatment for MET-fusion driven pediatric high-grade glioma and synergizes with radiotherapy
Zuckermann M, He C, Andrews J et al. · Molecular cancer 2024 · PMID 38849845 · doi:10.1186/s12943-024-02027-6
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 GSE247864_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 PRJNA1040829 and SRA study SRP472165. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 36 more — browse all 36 samples with per-sample file links →

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