Evidence map›Paper›PMID 30050054›Full record

ArticleScientific reports2018

Mediation analysis reveals common mechanisms of RUNX1 point mutations and RUNX1/RUNX1T1 fusions influencing survival of patients with acute myeloid leukemia.

Roman Hornung, Vindi Jurinovic, Aarif M N Batcha, Stefanos A Bamopoulos, Maja Rothenberg-Thurley, Susanne Amler, Maria Cristina Sauerland, Wolfgang E Berdel, Bernhard J Wörmann, Stefan K Bohlander and 8 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

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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

18 authors at 9 institutions in 4 countries.

Roman HornungInstitute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Munich, Germany. hornung@med.uni-muenchen.de.ORCID 0000-0002-6036-1495
Vindi JurinovicInstitute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Munich, Germany.
Aarif M N BatchaInstitute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Munich, Germany.
Stefanos A BamopoulosDepartment of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Maja Rothenberg-ThurleyDepartment of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Susanne AmlerInstitute of Biostatistics and Clinical Research, University of Muenster, Muenster, Germany.
Maria Cristina SauerlandInstitute of Biostatistics and Clinical Research, University of Muenster, Muenster, Germany.
Wolfgang E BerdelDepartment of Medicine A, Hematology and Oncology, University of Muenster, Muenster, Germany.
Bernhard J WörmannGerman Society of Hematology and Oncology, Berlin, Germany.
Stefan K BohlanderDepartment of Molecular Medicine and Pathology, University of Auckland, Auckland, New Zealand.
Jan BraessDepartment of Oncology and Hematology, Hospital Barmherzige Brüder, Regensburg, Germany.
Wolfgang HiddemannGerman Cancer Consortium (DKTK), partner site Munich, Munich, Germany.
Sören LehmannDepartment of Medical Sciences, Uppsala University Hospital, Uppsala, Sweden.
Sylvain MareschalDepartment of Medical Sciences, Uppsala University Hospital, Uppsala, Sweden.ORCID 0000-0001-7492-7528
Karsten SpiekermannGerman Cancer Consortium (DKTK), partner site Munich, Munich, Germany.
Klaus H MetzelerGerman Cancer Consortium (DKTK), partner site Munich, Munich, Germany.
Tobias HeroldGerman Cancer Consortium (DKTK), partner site Munich, Munich, Germany.ORCID 0000-0002-9615-9432
Anne-Laure BoulesteixInstitute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Munich, Germany.
German Cancer Research Center · DELMU Klinikum · DEUppsala University Hospital · SEZimmer Biomet (Germany) · DEGerman Society of Surgery · DEKrankenhaus Barmherzige Brüder · DEUniversity of Auckland · NZUniversity of Münster · DEZimmer Biomet (Netherlands) · NL

Funding

Wilhelm Sander-Stiftung 2014.159.1
6 · The paper itself

Abstract

Alterations of RUNX1 in acute myeloid leukemia (AML) are associated with either a more favorable outcome in the case of the RUNX1/RUNX1T1 fusion or unfavorable prognosis in the case of point mutations. In this project we aimed to identify genes responsible for the observed differences in outcome that are common to both RUNX1 alterations. Analyzing four AML gene expression data sets (n = 1514), a total of 80 patients with RUNX1/RUNX1T1 and 156 patients with point mutations in RUNX1 were compared. Using the statistical tool of mediation analysis we identified the genes CD109, HOPX, and KIAA0125 as candidates for mediator genes. In an analysis of an independent validation cohort, KIAA0125 again showed a significant influence with respect to the impact of the RUNX1/RUNX1T1 fusion. While there were no significant results for the other two genes in this smaller validation cohort, the observed relations linked with mediation effects (i.e., those between alterations, gene expression and survival) were almost without exception as strong as in the main analysis. Our analysis demonstrates that mediation analysis is a powerful tool in the identification of regulative networks in AML subgroups and could be further used to characterize the influence of genetic alterations.

Indexed as

Gene FusionPoint MutationBiostatisticsCore Binding Factor Alpha 2 SubunitGene Expression ProfilingHumansLeukemia, Myeloid, AcuteRUNX1 Translocation Partner 1 ProteinCore Binding Factor Alpha 2 SubunitRUNX1 protein, humanRUNX1T1 protein, humanRUNX1 Translocation Partner 1 Protein

Identifiers

PMID30050054
PMCPMC6062501
OpenAlexW2883219155

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.