Evidence map›Paper›PMID 40634509›Full record

ArticleLeukemia2025

Genomic determinants of therapy response in ETV6::RUNX1 leukemia.

Laura Oksa, Sanni Moisio, Khurram Maqbool, Roger Kramer, Atte Nikkilä, Buddika Jayasingha, Artturi Mäkinen, Hassan Foroughi-Asl, Samuli Rounioja, Janne Suhonen and 11 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Laura Oksa *Tampere Center for Child, Adolescent, and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland. laura.oksa@tuni.fi.ORCID 0000-0003-4468-9877
Sanni Moisio *The Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland.ORCID 0009-0009-4446-015X
Khurram MaqboolSciLifeLab, Department of Microbiology, Tumor and Cell biology, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-2981-2582
Roger KramerThe Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland.
Atte NikkiläTampere Center for Child, Adolescent, and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Buddika JayasinghaThe Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland.
Artturi MäkinenTampere Center for Child, Adolescent, and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID 0000-0002-5521-9216
Hassan Foroughi-AslSciLifeLab, Department of Microbiology, Tumor and Cell biology, Karolinska Institutet, Stockholm, Sweden.
Samuli RouniojaDepartment of Hematology, Fimlab Laboratories, Tampere University Hospital, Tampere, Finland.
Janne SuhonenThe Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland.
Olga KraliDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-6436-9531
Miikka VoutilainenFaculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-9367-3471
Mari LahnalampiThe Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland.ORCID 0000-0003-4050-4935
Kaisa VepsäläinenDepartment of Pediatrics, Kuopio University Hospital, Kuopio, Finland.
Sui HuangThe Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland.
Jesus Duque-AfonsoDepartment of Hematology/Oncology/Stem Cell Transplantation, Faculty of Medicine, University of Freiburg Medical Center, Freiburg, Germany.ORCID 0000-0002-8287-5673
Julia HauerDepartment of Pediatrics, School of Medicine, Technical University of Munich, Munich, Germany.ORCID 0000-0002-4058-3058
Jessica NordlundDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.ORCID 0000-0001-8699-9959
Valtteri WirtaSciLifeLab, Department of Microbiology, Tumor and Cell biology, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-3811-5439
Olli LohiTampere Center for Child, Adolescent, and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland. olli.lohi@tuni.fi.ORCID 0000-0001-9195-0797
Merja HeinäniemiThe Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland. merja.heinaniemi@uef.fi.ORCID 0000-0001-6190-3439

Funding

Academy of Finland (Suomen Akatemia) 321553Barncancerfonden (Swedish Childhood Cancer Foundation) PR2022-0082, HFT2023-0011Deutsche Forschungsgemeinschaft (German Research Foundation) 1287/5-1Svenska Forskningsrådet Formas (Swedish Research Council Formas) 2019-01976Swedish Cancer Foundation CAN2022-2395
6 · The paper itself

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.

Indexed as

Biomarkers, TumorCore Binding Factor Alpha 2 SubunitGenomicsOncogene Proteins, FusionPrecursor B-Cell Lymphoblastic Leukemia-LymphomaProto-Oncogene Proteins c-etsRepressor ProteinsChildChild, PreschoolETS Translocation Variant 6 ProteinFemaleHumansMaleMutationBiomarkers, TumorCore Binding Factor Alpha 2 SubunitETS Translocation Variant 6 ProteinOncogene Proteins, FusionProto-Oncogene Proteins c-etsRepressor ProteinsRUNX1 protein, human

Identifiers

PMID40634509
PMCPMC12380598

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.