Evidence map›Paper›PMID 37188777›Full record

ArticleLeukemia2023

RUNX1 mutation has no prognostic significance in paediatric AML: a retrospective study of the AML-BFM study group.

Stephanie Sendker, Amani Awada, Sophia Domagalla, Michael Sendker, Eser Orhan, Lina Marie Hoffmeister, Evangelia Antoniou, Naghmeh Niktoreh, Dirk Reinhardt, Nils von Neuhoff and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Leukemia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Refining favorable-risk classification in pediatricBlood science (Baltimore, Md.) · 2026
    Article
  4. Article
  5. International journal of molecular sciences · 2026
    Article
  6. Article
  7. 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

11 authors at 2 institutions in 1 country.

Stephanie SendkerDepartment of Paediatric Hematology and Oncology, University Children's Hospital Essen, University of Duisburg-Essen, 45147, Essen, Germany.ORCID http://orcid.org/0000-0003-3139-8747
Amani AwadaDepartment of Paediatric Hematology and Oncology, University Children's Hospital Essen, University of Duisburg-Essen, 45147, Essen, Germany.
Sophia DomagallaDepartment of Paediatric Hematology and Oncology, University Children's Hospital Essen, University of Duisburg-Essen, 45147, Essen, Germany.
Michael SendkerUniversity of Applied Sciences for Economics and Management (FOM), 20357, Hamburg, Germany.ORCID http://orcid.org/0009-0008-5402-7977
Eser OrhanCentre for Research Acceleration in Paediatrics GmbH, 30175, Hannover, Germany.
Lina Marie HoffmeisterDepartment of Paediatric Hematology and Oncology, University Children's Hospital Essen, University of Duisburg-Essen, 45147, Essen, Germany.
Evangelia AntoniouDepartment of Paediatric Hematology and Oncology, University Children's Hospital Essen, University of Duisburg-Essen, 45147, Essen, Germany.
Naghmeh NiktorehDepartment of Paediatric Hematology and Oncology, University Children's Hospital Essen, University of Duisburg-Essen, 45147, Essen, Germany.ORCID http://orcid.org/0000-0002-5032-4789
Dirk ReinhardtDepartment of Paediatric Hematology and Oncology, University Children's Hospital Essen, University of Duisburg-Essen, 45147, Essen, Germany.ORCID http://orcid.org/0000-0002-7027-4483
Nils von NeuhoffDepartment of Paediatric Hematology and Oncology, University Children's Hospital Essen, University of Duisburg-Essen, 45147, Essen, Germany.
Markus SchneiderDepartment of Paediatric Hematology and Oncology, University Children's Hospital Essen, University of Duisburg-Essen, 45147, Essen, Germany. Markus.Schneider@uk-essen.de.
Essen University Hospital · DEFOM University of Applied Sciences for Economics and Management · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In acute myeloid leukaemia (AML) RUNX1 mutation is characterised by certain clinicopathological features with poor prognosis and adverse risk by the European LeukemiaNet recommendation. Though initially considered as provisional category, the recent World Health Organisation (WHO) classification of 2022 removed RUNX1-mutated AML from the unique entity. However, the significance of RUNX1 mutation in paediatric AML remains unclear. We retrospectively analysed a German cohort of 488 paediatric patients with de novo AML, enroled in the AMLR12 or AMLR17 registry of the AML-BFM Study Group (Essen, Germany). A total of 23 paediatric AML patients (4.7%) harboured RUNX1 mutations, 18 of which (78%) had RUNX1 mutation at initial diagnosis. RUNX1 mutations were associated with older age, male gender, number of coexisting alterations and presence of FLT3-ITD but mutually exclusive of KRAS, KIT and NPM1 mutation. RUNX1 mutations did not prognostically impact overall or event-free survival. Response rates did not differ between patients with and without RUNX1 mutations. This comprehensive study, comprising the largest analysis of RUNX1 mutation in a paediatric cohort to date, reveals distinct but not unique clinicopathologic features, with no prognostic significance of RUNX1-mutated paediatric AML. These results broaden the perspective on the relevance of RUNX1 alterations in leukaemogenesis in AML.

Indexed as

Leukemia, Myeloid, AcuteNucleophosminChildCore Binding Factor Alpha 2 SubunitHumansMaleMutationPrognosisRetrospective StudiesCore Binding Factor Alpha 2 SubunitNucleophosminRUNX1 protein, human

Identifiers

PMID37188777
PMCPMC10317839
OpenAlexW4376609344

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.