Evidence map›Paper›PMID 34448812›Full record

ArticleBlood advances2021

Splicing factor gene mutations in acute myeloid leukemia offer additive value if incorporated in current risk classification.

Inge van der Werf, Anna Wojtuszkiewicz, Manja Meggendorfer, Stephan Hutter, Constance Baer, Martijn Heymans, Peter J M Valk, Wolfgang Kern, Claudia Haferlach, Jeroen J W M Janssen and 3 more

Open access · goldAbstract read
In one paragraph

Article in Blood advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 54 citations in OpenAlex.

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  9. Distinct and convergent effects ofProceedings of the National Academy of Sciences of the United States of America · 2025
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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

13 authors at 4 institutions in 2 countries.

Inge van der WerfDepartment of Hematology, Amsterdam University Medical Center, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-8159-399X
Anna WojtuszkiewiczDepartment of Hematology, Amsterdam University Medical Center, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-4018-8840
Manja MeggendorferMLL Munich Leukemia Laboratory, Munich, Germany.
Stephan HutterMLL Munich Leukemia Laboratory, Munich, Germany.
Constance BaerMLL Munich Leukemia Laboratory, Munich, Germany.
Martijn HeymansDepartment of Epidemiology and Biostatistics, Amsterdam University Medical Center, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, The Netherlands; and.
Peter J M ValkDepartment of Hematology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.
Wolfgang KernMLL Munich Leukemia Laboratory, Munich, Germany.
Claudia HaferlachMLL Munich Leukemia Laboratory, Munich, Germany.
Jeroen J W M JanssenDepartment of Hematology, Amsterdam University Medical Center, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, The Netherlands.
Gert J OssenkoppeleDepartment of Hematology, Amsterdam University Medical Center, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, The Netherlands.
Jacqueline CloosDepartment of Hematology, Amsterdam University Medical Center, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, The Netherlands.
Torsten HaferlachMLL Munich Leukemia Laboratory, Munich, Germany.
Munich Leukemia Laboratory (Germany) · DECancer Center Amsterdam · NLAmsterdam UMC Location Vrije Universiteit Amsterdam · NLErasmus MC · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Splicing factor (SF) mutations are important contributors to the pathogenesis of hematological malignancies; however, their relevance in risk classification of acute myeloid leukemia (AML) warrants further investigation. To gain more insight into the characteristics of patients with AML carrying SF mutations, we studied their association with clinical features, cytogenetic and molecular abnormalities, and clinical outcome in a large cohort of 1447 patients with AML and high-risk myelodysplastic syndrome. SF mutations were identified in 22% of patients and were associated with multiple unfavorable clinical features, such as older age, antecedent myeloid disorders, and adverse risk factors (mutations in RUNX1 and ASXL1). Furthermore, they had significantly shorter event-free and overall survival. Notably, in European LeukemiaNet (ELN) 2017 favorable- and intermediate-risk groups, SF3B1 mutations were indicative of relatively poor prognosis. In addition, patients carrying concomitant SF mutations and RUNX1 mutations had a particularly adverse prognosis. In patients without any of the 4 most common SF mutations, RUNX1 mutations were associated with relatively good outcome, which was comparable to that of intermediate-risk patients. In this study, we propose that SF mutations be considered for incorporation into prognostic classification systems. First, SF3B1 mutations could be considered an intermediate prognostic factor when co-occurring with favorable risk features and as an adverse prognostic factor for patients currently categorized as having intermediate risk, according to the ELN 2017 classification. Second, the prognostic value of the current adverse factor RUNX1 mutations seems to be limited to its co-occurrence with SF mutations.

Indexed as

Leukemia, Myeloid, AcuteAgedHumansMutationPrognosisRisk FactorsRNA Splicing FactorsRNA Splicing Factors

Identifiers

PMID34448812
PMCPMC8525232
OpenAlexW3195228785

What OpenQuestion holds

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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.