Evidence map›Paper›PMID 28758855›Full record

ArticleEpigenetics2017

Targeting DNA hypermethylation: Computational modeling of DNA demethylation treatment of acute myeloid leukemia.

Jens Przybilla, Lydia Hopp, Michael Lübbert, Markus Loeffler, Joerg Galle

Open access · bronzeAbstract read
In one paragraph

Article in Epigenetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 16 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

5 authors at 2 institutions in 1 country.

Jens Przybillaa Interdisciplinary Center for Bioinformatics, University of Leipzig , Leipzig , Germany.
Lydia Hoppa Interdisciplinary Center for Bioinformatics, University of Leipzig , Leipzig , Germany.
Michael Lübbertb Division of Hematology, Oncology and Stem Cell Transplantation, Faculty of Medicine, University of Freiburg , Freiburg , Germany.
Markus Loefflerd Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig , Leipzig , Germany.
Joerg Gallea Interdisciplinary Center for Bioinformatics, University of Leipzig , Leipzig , Germany.
Leipzig University · DEUniversity of Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In acute myeloid leukemia (AML) DNA hypermethylation of gene promoters is frequently observed and often correlates with a block of differentiation. Treatment of AML patients with DNA methyltransferase inhibitors results in global hypomethylation of genes and, thereby, can lead to a reactivation of the differentiation capability. Unfortunately, after termination of treatment both hypermethylation and differentiation block return in most cases. Here, we apply, for the first time, a computational model of epigenetic regulation of transcription to: i) provide a mechanistic understanding of the DNA (de-) methylation process in AML and; ii) improve DNA demethylation treatment strategies. By in silico simulation, we analyze promoter hypermethylation scenarios referring to DNMT dysfunction, decreased H3K4me3 and increased H3K27me3 modification activity, and accelerated cell proliferation. We quantify differences between these scenarios with respect to gene repression and activation. Moreover, we compare the scenarios regarding their response to DNMT inhibitor treatment alone and in combination with inhibitors of H3K27me3 histone methyltransferases and of H3K4me3 histone demethylases. We find that the different hypermethylation scenarios respond specifically to therapy, suggesting that failure of remission originates in patient-specific deregulation. We observe that inappropriate demethylation therapy can result even in enforced deregulation. As an example, our results suggest that application of high DNMT inhibitor concentration can induce unwanted global gene activation if hypermethylation originates in increased H3K27me3 modification. Our results underline the importance of a personalized therapy requiring knowledge about the patient-specific mechanism of epigenetic deregulation.

Indexed as

AzacitidineCell DifferentiationComputational BiologyDNA DemethylationDNA MethylationDNA Modification MethylasesEnzyme InhibitorsEpigenesis, GeneticGene Expression Regulation, NeoplasticHistone DemethylasesHistone-Lysine N-MethyltransferaseHistone MethyltransferasesHumansLeukemia, Myeloid, AcuteModels, MolecularPromoter Regions, GeneticAzacitidineDNA Modification MethylasesEnzyme InhibitorsHistone DemethylasesHistone-Lysine N-MethyltransferaseHistone Methyltransferases5-aza-2'-deoxycytidine5-azacytidineacute myeloid leukemiacomputational modelingDecitabinedemethylation therapyDNA methylationDNMT inhibitorshistone modificationmathematical modeling

Identifiers

PMID28758855
PMCPMC5788435
OpenAlexW2740189819

What OpenQuestion holds

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Registered trials

None linked

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.