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Imaging-based drug screening combined with moleuclar profiling identifies signatures and drivers of therapy resistance in pediatric AML [ATAC-seq]

GSE282258 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing 44 samples Submitted 2025/05/02 Platform GPL24676
Summary
Despite recent advances in the understanding of genomic landscape of pediatric acute myeloid leukemia (pedAML), targeted treatments are only available for selected genomic alterations and the functional link between genotype and outcome remains partially elusive. Functional precision medicine approaches to investigate treatment resistance and patient risk have not been applied systematically for pedAML. We established an advanced functional screening platform combining high-content imaging and deep-learning-based phenotyping. In 45 pedAML patients, we identify BCL2 and FLT3 inhibitors and standard chemotherapy as major drivers of the chemosensitivity landscape, reveal substantial differential sensitivities between risk groups, and may effectively predict individual measurable residual disease and patient risk. Integration with genomic and epigenomic data uncovers a chemotherapy-resistant primitive state vulnerable to combined BCL2 and MDM2 inhibition and HDAC inhibition. Overall, we identify early present signatures of therapy resistance across genetic subgroups and prioritize targeted treatments for these functionally and epigenetically defined patient subsets.
Published in
Image-based drug screening combined with molecular profiling identifies signatures and drivers of therapy resistance in pediatric AML
Haladik B, Maurer-Granofszky M, Zoescher P et al. · Cell reports. Medicine 2025 · PMID 40840446 · doi:10.1016/j.xcrm.2025.102304
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Direct links to NCBI, no account and no request form: the whole study as GSE282258_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 44 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1187806 and SRA study SRP546075. Searching any of these in the dataset finder brings you back here.

Study design
40 conditions, each sampled once — no replicated groups

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