Evidence map›Paper›PMID 27876760›Full record

ArticleScientific reports2016

Changes of bivalent chromatin coincide with increased expression of developmental genes in cancer.

Stephan H Bernhart, Helene Kretzmer, Lesca M Holdt, Frank Jühling, Ole Ammerpohl, Anke K Bergmann, Bernd H Northoff, Gero Doose, Reiner Siebert, Peter F Stadler and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% 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

63 citing papers in PubMed, 1 synthesis or guideline pooled it, 152 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Review
  6. Article
  7. Article
  8. Subtyping Burkitt Lymphoma by DNA Methylation.Genes, chromosomes & cancer · 2025
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  9. Epigenomic Dysregulation in Youth Vapers: Implications for Disease Risk Assessment.American journal of respiratory cell and molecular biology · 2025
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  10. Article
  11. Review
  12. Activation of Bivalent Gene POU4F1 Promotes and Maintains Basal-like Breast Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Low-nutrient diet inOpen biology · 2023
    Article
  20. Article

3 more citing papers are in PubMed but not listed here.

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 5 institutions in 4 countries.

Stephan H BernhartLeipzig University, Chair of Bioinformatics, Leipzig, 04107, Germany.
Helene KretzmerLeipzig University, Chair of Bioinformatics, Leipzig, 04107, Germany.
Lesca M HoldtLudwig-Maximilians-University, Institute of Laboratory Medicine, Munich, 81377, Germany.
Frank JühlingLeipzig University, Chair of Bioinformatics, Leipzig, 04107, Germany.
Ole AmmerpohlChristian Albrechts University &University Hospital Schleswig-Holstein - Campus Kiel, Institute of Human Genetics, Kiel, 24105, Germany.
Anke K BergmannChristian Albrechts University &University Hospital Schleswig-Holstein - Campus Kiel, Institute of Human Genetics, Kiel, 24105, Germany.
Bernd H NorthoffLudwig-Maximilians-University, Institute of Laboratory Medicine, Munich, 81377, Germany.
Gero DooseLeipzig University, Chair of Bioinformatics, Leipzig, 04107, Germany.
Reiner SiebertChristian Albrechts University &University Hospital Schleswig-Holstein - Campus Kiel, Institute of Human Genetics, Kiel, 24105, Germany.
Peter F StadlerLeipzig University, Chair of Bioinformatics, Leipzig, 04107, Germany.
Steve HoffmannLeipzig University, Chair of Bioinformatics, Leipzig, 04107, Germany.
Leipzig University · DEKiel University · DELudwig-Maximilians-Universität München · DESanta Fe Institute · USUniversité de Strasbourg · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bivalent (poised or paused) chromatin comprises activating and repressing histone modifications at the same location. This combination of epigenetic marks at promoter or enhancer regions keeps genes expressed at low levels but poised for rapid activation. Typically, DNA at bivalent promoters is only lowly methylated in normal cells, but frequently shows elevated methylation levels in cancer samples. Here, we developed a universal classifier built from chromatin data that can identify cancer samples solely from hypermethylation of bivalent chromatin. Tested on over 7,000 DNA methylation data sets from several cancer types, it reaches an AUC of 0.92. Although higher levels of DNA methylation are often associated with transcriptional silencing, counter-intuitive positive statistical dependencies between DNA methylation and expression levels have been recently reported for two cancer types. Here, we re-analyze combined expression and DNA methylation data sets, comprising over 5,000 samples, and demonstrate that the conjunction of hypermethylation of bivalent chromatin and up-regulation of the corresponding genes is a general phenomenon in cancer. This up-regulation affects many developmental genes and transcription factors, including dozens of homeobox genes and other genes implicated in cancer. Thus, we reason that the disturbance of bivalent chromatin may be intimately linked to tumorigenesis.

Indexed as

ChromatinCpG IslandsDNA MethylationEpigenesis, GeneticGene Expression Regulation, DevelopmentalGene Expression Regulation, NeoplasticGenes, DevelopmentalHistone CodeHumansNeoplasm ProteinsNeoplasmsPromoter Regions, GeneticTranscription FactorsChromatinNeoplasm ProteinsTranscription Factors

Identifiers

PMID27876760
PMCPMC5120258
OpenAlexW2549274054

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.