Laura Oksa, Sanni Moisio, Khurram Maqbool, Roger Kramer, Atte Nikkilä, Buddika Jayasingha, Artturi Mäkinen, Hassan Foroughi-Asl, Samuli Rounioja, Janne Suhonen, Olga Krali, Miikka Voutilainen, Mari Lahnalampi, Kaisa Vepsäläinen, Sui Huang, Jesus Duque-Afonso, Julia Hauer, Jessica Nordlund, Valtteri Wirta, Olli Lohi, Merja Heinäniemi
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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.","PeriodicalId":18109,"journal":{"name":"Leukemia","volume":"39 9","pages":"2125-2139"},"PeriodicalIF":13.4000,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s41375-025-02683-7.pdf","citationCount":"0","resultStr":"{\"title\":\"Genomic determinants of therapy response in ETV6::RUNX1 leukemia\",\"authors\":\"Laura Oksa, Sanni Moisio, Khurram Maqbool, Roger Kramer, Atte Nikkilä, Buddika Jayasingha, Artturi Mäkinen, Hassan Foroughi-Asl, Samuli Rounioja, Janne Suhonen, Olga Krali, Miikka Voutilainen, Mari Lahnalampi, Kaisa Vepsäläinen, Sui Huang, Jesus Duque-Afonso, Julia Hauer, Jessica Nordlund, Valtteri Wirta, Olli Lohi, Merja Heinäniemi\",\"doi\":\"10.1038/s41375-025-02683-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ETV6::RUNX1 leukemia is the second most common subtype of childhood B cell acute lymphoblastic leukemia (B-ALL). 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Genomic determinants of therapy response in ETV6::RUNX1 leukemia
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.
期刊介绍:
Title: Leukemia
Journal Overview:
Publishes high-quality, peer-reviewed research
Covers all aspects of research and treatment of leukemia and allied diseases
Includes studies of normal hemopoiesis due to comparative relevance
Topics of Interest:
Oncogenes
Growth factors
Stem cells
Leukemia genomics
Cell cycle
Signal transduction
Molecular targets for therapy
And more
Content Types:
Original research articles
Reviews
Letters
Correspondence
Comments elaborating on significant advances and covering topical issues