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Comprehensive Molecular and Functional Analysis of NUTM1-Rearranged Leukemia [iLS-bulkRNA]

GSE307525 Mus musculus Expression profiling by high throughput sequencing 18 samples 2026/04/22 GPL24247
Summary
NUTM1-rearrangement (NUTM1-r) defines a significant subset of B-cell acute lymphoblastic leukemia (B-ALL), particularly in infants lacking KMT2A-rearrangements (KMT2A-r), yet its underlying molecular characteristics remain poorly understood. Here, we establish that NUTM1-r leukemia is a discrete entity characterized by a unique transcriptional and epigenetic landscape, notably featuring global DNA hypomethylation, irrespective of the 5' fusion partner. Functional interrogation of NUTM1 fusions reveals a dual oncogenic role: they drive commitment towards the B-lymphoid lineage while concurrently conferring potent leukemic stem cell properties. Strikingly, expression of a representative fusion, BRD9-NUTM1, is sufficient to induce serially-transplantable prepro-B-like leukemia in vivo, faithfully recapitulating the key molecular and immunophenotypic features of human NUTM1-r B-ALL. Mechanistically, NUTM1 fusions establish an aberrant chromatin state, marked by global enhancement of H3K27 acetylation and the creation of distinctive open chromatin regions that co-opt both B-lineage and stemness-related transcriptional programs, including those involving NF-κB and posterior HoxA genes. In stark contrast to resistant KMT2A-r leukemias, NUTM1-r leukemic cells exhibit a profound sensitivity to chemotherapy. This vulnerability is mechanistically linked to the leukemia's dependence on active transcription. Our findings delineate the unique molecular profile of NUTM1-r leukemias, revealing specific vulnerabilities that rationalize their favorable clinical outcomes and suggest opportunities for modified therapeutic strategies.
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NCBI GEO page ↗ Paper (PMID 41460961) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more mouse RNA-seq datasets →
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