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An alternative transcription factor isoform controls AML chemoresistance [LongRead_mRNA]

GSE273359 Homo sapiens Expression profiling by high throughput sequencing 4 samples Submitted 2025/05/29 Platform GPL26167
Summary
Aberrant splicing is a hallmark of many cancers, including Acute Myeloid Leukemia (AML), but its role in post-treatment relapse remains poorly understood. Here, we analyzed the alternative splicing landscape of 19 AML patients during chemotherapy treatment. We found an upregulation of the long isoform of the transcription factor RUNX1 (also known as RUNX1C) in relapsed cohorts, which conferred chemotherapy resistance. Notably, these patients showed elevanted intragenic DNA methylation at the RUNX1 proximal promoter, thereby activating RUNX1C transcript through its alternative distal promoter. Mechanistically the N-terminus region of RUNX1C is required to promote chemoresistance by regulating a distinct RUNX1 transciptional program. Among these target genes, B-cell translocation gene 2 (BTG2) mediates a quiescent-like phenotype by deadenylating ribosomal RNAs to reduce global protein synthesis. Lastly, we harnessed orthogonal RNA-targeting strategies to target RUNX1C isoform, which led to augmented chemotherapy efficacy. Collectively, our finidngs delineate a transcriptional circuity orchestrated by a transcription factor isoform that underpins chemotherapy responsiveness and a potential therapeutic strategy to mitigate disease recurrence.
Published in
An Isoform-Specific RUNX1C-BTG2 Axis Governs AML Quiescence and Chemoresistance
Han C, Zhang Z, Crosse EI et al. · Blood cancer discovery 2025 · PMID 40632085 · doi:10.1158/2643-3230.BCD-24-0327
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Direct links to NCBI, no account and no request form: the whole study as GSE273359_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1141484 and SRA study SRP522919. Searching any of these in the dataset finder brings you back here.

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