Evidence map›Paper›PMID 24944583›Full record

ArticleGenome medicine2014

Early aberrant DNA methylation events in a mouse model of acute myeloid leukemia.

Miriam Sonnet, Rainer Claus, Natalia Becker, Manuela Zucknick, Jana Petersen, Daniel B Lipka, Christopher C Oakes, Mindaugas Andrulis, Amelie Lier, Michael D Milsom and 12 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

22 citing papers in PubMed, 33 citations in OpenAlex.

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  15. The Regulatory Capacity of Bivalent Genes-A Theoretical Approach.International journal of molecular sciences · 2017
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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

22 authors at 8 institutions in 1 country.

Miriam SonnetDepartment of Epigenomics and Cancer Risk Factors, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany.
Rainer ClausDepartment of Epigenomics and Cancer Risk Factors, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany ; Department of Hematology/Oncology, University Medical Center, D-79106 Freiburg, Germany.
Natalia BeckerDivision of Biostatistics, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany.
Manuela ZucknickDivision of Biostatistics, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany.
Jana PetersenDepartment of Epigenomics and Cancer Risk Factors, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany.
Daniel B LipkaDepartment of Epigenomics and Cancer Risk Factors, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany.
Christopher C OakesDepartment of Epigenomics and Cancer Risk Factors, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany.
Mindaugas AndrulisDepartment of General Pathology, Institute of Pathology, University Heidelberg, D-69120 Heidelberg, Germany.
Amelie LierDivision of Stem Cells and Cancer, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany.
Michael D MilsomDivision of Stem Cells and Cancer, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany.
Tania WitteDepartment of Epigenomics and Cancer Risk Factors, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany.
Lei GuDepartment of Epigenomics and Cancer Risk Factors, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany ; Division of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany.
Soo-Zin Kim-WannerDepartment of Epigenomics and Cancer Risk Factors, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany.
Peter SchirmacherDepartment of General Pathology, Institute of Pathology, University Heidelberg, D-69120 Heidelberg, Germany.
Michael WulfertDepartment of Hematology, Oncology and Clinical Immunology, Heinrich-Heine University, D-40225 Düsseldorf, Germany.
Norbert GattermannDepartment of Hematology, Oncology and Clinical Immunology, Heinrich-Heine University, D-40225 Düsseldorf, Germany.
Michael LübbertDepartment of Hematology/Oncology, University Medical Center, D-79106 Freiburg, Germany.
Frank RosenbauerInstitute of Molecular Tumor Biology, Westfälische Wilhelms Universität, D-48149 Münster, Germany.
Michael RehliDepartment of Hematology and Oncology, University Hospital Regensburg, D-93042 Regensburg, Germany.
Lars BullingerDepartment of Internal Medicine III, University of Ulm, D-89081 Ulm, Germany.
Dieter WeichenhanDepartment of Epigenomics and Cancer Risk Factors, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany.
Christoph PlassDepartment of Epigenomics and Cancer Risk Factors, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany.
German Cancer Research Center · DEHeidelberg University · DEEpigenomics (Germany) · DEHeinrich Heine University Düsseldorf · DEUniversität Ulm · DEUniversity Hospital Regensburg · DEUniversity Medical Center Freiburg · DEUniversity of Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAberrant DNA methylation is frequently found in human malignancies including acute myeloid leukemia (AML). While most studies focus on later disease stages, the onset of aberrant DNA methylation events and their dynamics during leukemic progression are largely unknown.

methodsWe screened genome-wide for aberrant CpG island methylation in three disease stages of a murine AML model that is driven by hypomorphic expression of the hematopoietic transcription factor PU.1. DNA methylation levels of selected genes were correlated with methylation levels of CD34+ cells and lineage negative, CD127-, c-Kit+, Sca-1+ cells; common myeloid progenitors; granulocyte-macrophage progenitors; and megakaryocyte-erythroid progenitors.

resultsWe identified 1,184 hypermethylated array probes covering 762 associated genes in the preleukemic stage. During disease progression, the number of hypermethylated genes increased to 5,465 in the late leukemic disease stage. Using publicly available data, we found a significant enrichment of PU.1 binding sites in the preleukemic hypermethylated genes, suggesting that shortage of PU.1 makes PU.1 binding sites in the DNA accessible for aberrant methylation. Many known AML associated genes such as RUNX1 and HIC1 were found among the preleukemic hypermethylated genes. Nine novel hypermethylated genes, FZD5, FZD8, PRDM16, ROBO3, CXCL14, BCOR, ITPKA, HES6 and TAL1, the latter four being potential PU.1 targets, were confirmed to be hypermethylated in human normal karyotype AML patients, underscoring the relevance of the mouse model for human AML.

conclusionsOur study identified early aberrantly methylated genes as potential contributors to onset and progression of AML.

Identifiers

PMID24944583
PMCPMC4062060
OpenAlexW2103866923

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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.