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Kinome reprogramming of G2/M kinases and repression of MYCN contribute to superior efficacy of lorlatinib in ALK-driven neuroblastoma

GSE273349 Homo sapiens (human) RNA-seq (gene expression) 20 samples Submitted 2024/07/29 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 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
Homo sapiens (human)
Topic
NeuroblastomaThis series is part of our curated briefing on it.
Samples
20 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
Kinome Reprogramming of G2/M Kinases and Repression of MYCN Contribute to Superior Efficacy of Lorlatinib in ALK-Driven NeuroblastomaMolecular cancer therapeutics · 2025
Summary (written by the submitters)
Mutations in the tyrosine kinase domain of the Anaplastic Lymphoma Kinase (ALK) oncogene in neuroblastoma occur most frequently at one of three hotspot amino acid residues, with the F1174* and F1245* variants conferring de novo resistance to first and second generation ALK inhibitors including crizotinib and ceritinib. Lorlatinib, a third generation ALK/ROS inhibitor, overcomes de novo resistance and induces complete tumor regressions in patient-derived xenograft (PDX) models unresponsive to crizotinib.
Read the full summary ↓
Lorlatinib has now completed Phase 1 testing in children and adults with relapsed/refractory ALK-driven neuroblastoma, and entered pivotal Phase 3 testing within the Children’s Oncology Group. To define mechanisms underlying the superior activity of lorlatinib, we utilized a chemical proteomics approach to quantitatively measure functional kinome dynamics in response to the ALK inhibitors lorlatinib and crizotinib, in clinically relevant ALK-driven neuroblastoma PDX models. Lorlatinib was a markedly more potent inhibitor of ALK and preferentially downregulated several kinases implicated in G2/M cell cycle transition compared to crizotinib. Lorlatinib treatment also led to the repression of MYCN expression and its occupancy at promoters of the same G2/M kinases. These data providing mechanistic insight in neuroblastoma into the far improved efficacy of lorlatinib over crizotinib for the treatment of ALK-driven neuroblastoma.
Published in
Kinome Reprogramming of G2/M Kinases and Repression of MYCN Contribute to Superior Efficacy of Lorlatinib in ALK-Driven Neuroblastoma
Matkar S, East MP, Stuhlmiller TJ et al. · Molecular cancer therapeutics 2025 · PMID 39907037 · doi:10.1158/1535-7163.MCT-24-0684
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 GSE273349_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 PRJNA1141470 and SRA study SRP522863. Searching any of these in the dataset finder brings you back here.

Samples in this study

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