ArticleLeukemia2025
Genomic determinants of therapy response in ETV6::RUNX1 leukemia.
Article in Leukemia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The trial behind it
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Who cites it
5 citing papers in PubMed.
- A genomic and epigenomic lens into the biology of acute lymphoblastic leukaemia.Nature reviews. Cancer · 2026Review
- Chromosome 15q deletions confer inferior outcomes among children with ETV6::RUNX1 B-cell acute lymphoblastic leukemia.Blood advances · 2026Article
- CD33 expression combined with D15-MRD positivity identifies poor prognosis in children with ETV6::RUNX1-positive ALL.Annals of hematology · 2026Article
- The Dual Role of RUNX1 in Inflammation-Driven Age-Related Diseases: From Molecular Mechanisms to Clinical Translation.Biomedicines · 2025Review
- Review
Corrections and comments
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Authors and funding
21 authors.
Funding
Abstract
ETV6::RUNX1 leukemia is the second most common subtype of childhood B cell acute lymphoblastic leukemia (B-ALL). Although it generally has a low relapse risk, a significant proportion of B-ALL relapses occur within this subtype due to its relatively high incidence. Measurable residual disease at the end of induction therapy is a well-established biomarker predicting treatment outcomes, while no genomic biomarkers are routinely applied in clinics. In this study, we used multiomic data from ETV6::RUNX1 leukemias to identify genomic features predictive of therapy response at disease presentation. In the deeply characterized sub-cohort we discovered that fast-responding cases frequently exhibited the APOBEC mutational signature and the gene expression signature of high cell cycle activity. In contrast, rearrangements of IGK genes were more frequent in slow responders. Additionally, response-related mutations were identified in transcriptional regulators and tumor suppressor genes (INTS1, NF1, TP53). Copy number analysis revealed that fast responders harbored more frequent deletions of chr12 p-arm, leading to transcriptomic changes affecting genes associated with induction therapy response (KRAS, FKBP4), while a shorter gain in chr12 was more common in slow responders. The identified genetic and transcriptomic markers of treatment sensitivity pave the way for improved disease classification at presentation, potentially improving clinical outcomes.
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Registered trials
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