Evidence map›Paper›PMID 24434785›Full record

ArticleEpigenetics2014

Effect of estrogen receptor α binding on functional DNA methylation in breast cancer.

Matthew Ung, Xiaotu Ma, Kevin C Johnson, Brock C Christensen, Chao Cheng

Open access · bronzeAbstract read
In one paragraph

Article in Epigenetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

21 citing papers in PubMed, 34 citations in OpenAlex.

  1. Trial
  2. Postnatal maternal care impacts hypothalamicbioRxiv : the preprint server for biology · 2025
    Article
  3. Review
  4. Selective Estrogen Receptor Modulators' (SERMs) Influence onInternational journal of molecular sciences · 2024
    Article
  5. Journal of the Endocrine Society · 2023
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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 3 institutions in 1 country.

Matthew UngDepartment of Genetics; Geisel School of Medicine at Dartmouth; Hanover, NH USA.
Xiaotu MaDepartment of Molecular and Cell Biology; Center for Systems Biology; The University of Texas at Dallas; Dallas, TX USA.
Kevin C JohnsonDepartment of Community and Family Medicine; Section of Biostatistics and Epidemiology; Geisel School of Medicine at Dartmouth; Lebanon, NH USA; Department of Pharmacology and Toxicology; Geisel School of Medicine at Dartmouth; Hanover, NH USA.
Brock C ChristensenDepartment of Community and Family Medicine; Section of Biostatistics and Epidemiology; Geisel School of Medicine at Dartmouth; Lebanon, NH USA; Department of Pharmacology and Toxicology; Geisel School of Medicine at Dartmouth; Hanover, NH USA.
Chao ChengDepartment of Genetics; Geisel School of Medicine at Dartmouth; Hanover, NH USA; Institute for Quantitative Biomedical Sciences; Geisel School of Medicine at Dartmouth; Lebanon, NH USA; Norris Cotton Cancer Center; Geisel School of Medicine at Dartmouth; Lebanon, NH USA.
Dartmouth College · USCenter for Systems Biology · USHanover College · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
Relation Between In-utero Vitamin D and Immune Function in Early Childhood P20GM104416 · NIGMS · DARTMOUTH COLLEGE · PI CHRISTENSEN, BROCK CLARKE · 2013 to 2022
$23.7M
NCI NIH HHS P30 CA023108NIGMS NIH HHS P20 GM104416
6 · The paper itself

Abstract

Epigenetic modifications introduce an additional layer of regulation that drastically expands the instructional capability of the human genome. The regulatory consequences of DNA methylation is context dependent; it can induce, enhance, and suppress gene expression, or have no effect on gene regulation. Therefore, it is essential to account for the genomic location of its occurrence and the protein factors it associates with to improve our understanding of its function and effects. Here, we use ENCODE ChIP-seq and DNase I hypersensitivity data, along with large-scale breast cancer genomic data from The Cancer Genome Atlas (TCGA) to computationally dissect the intricacies of DNA methylation in regulation of cancer transcriptomes. In particular, we identified a relationship between estrogen receptor α (ERα) activity and DNA methylation patterning in breast cancer. We found compelling evidence that methylation status of DNA sequences at ERα binding sites is tightly coupled with ERα activity. Furthermore, we predicted several transcription factors including FOXA1, GATA1, and SUZ12 to be associated with breast cancer by examining the methylation status of their binding sites in breast cancer. Lastly, we determine that methylated CpGs highly correlated with gene expression are enriched in regions 1kb or more downstream of TSSs, suggesting more significant regulatory roles for CpGs distal to gene TSSs. Our study provides novel insights into the role of ERα in breast cancers.

Indexed as

DNA MethylationBreast NeoplasmsCpG IslandsEstrogen Receptor alphaFemaleGATA1 Transcription FactorGene Expression Regulation, NeoplasticGenome, HumanHepatocyte Nuclear Factor 3-alphaHumansNeoplasm ProteinsPolycomb Repressive Complex 2Transcription FactorsTranscriptomeESR1 protein, humanEstrogen Receptor alphaFOXA1 protein, humanGATA1 protein, humanGATA1 Transcription FactorHepatocyte Nuclear Factor 3-alphaNeoplasm ProteinsPolycomb Repressive Complex 2SUZ12 protein, humanTranscription Factorsbreast cancerChIP-seqdifferential gene expressiondifferential methylationDNase I hypersensitivityestrogen receptor αtranscription factor

Identifiers

PMID24434785
PMCPMC4121363
OpenAlexW2046859113

What OpenQuestion holds

Textmetadata
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.