Evidence map›Paper›PMID 29940789›Full record

ArticleEpigenetics2018

Identification of epigenetic modulators in human breast cancer by integrated analysis of DNA methylation and RNA-Seq data.

Xin Zhou, Zhibin Chen, Xiaodong Cai

Open access · bronzeAbstract read
In one paragraph

Article in Epigenetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Super-enhancer profiling reveals ThPOK/ZBTB7B, a CD4Cellular and molecular life sciences : CMLS · 2025
    Article
  2. Article
  3. Review
  4. Camptothecin Encapsulated in β-Cyclodextrin-EDTA-FeNanomaterials (Basel, Switzerland) · 2021
    Article
  5. Article
  6. Article
  7. Review
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

3 authors at 2 institutions in 1 country.

Xin Zhoua Department of Electrical and Computer Engineering , University of Miami , Coral Gables , FL , USA.
Zhibin Chenb Department of Microbiology and Immunology, Miller School of Medicine , University of Miami , Miami , FL , USA.
Xiaodong Caia Department of Electrical and Computer Engineering , University of Miami , Coral Gables , FL , USA.
Sylvester Comprehensive Cancer Center · USUniversity of Miami · US

Funding

Sparse Structural Equation Models for Gene Networks and Chemical GenomicsR01GM104975 · NIGMS · UNIVERSITY OF MIAMI CORAL GABLES · PI CAI, XIAODONG · 2012 to 2016
$1.8M
NIGMS NIH HHS R01 GM104975
6 · The paper itself

Abstract

Human tumors undergo massive changes in DNA methylation. Recent studies showed that site-specific methylation of CpG sites is determined by the DNA sequence context surrounding the CpG site, which alludes to a possible mechanism for site-specific aberrant DNA methylation in cancer through DNA-binding proteins. In this paper, DNA methylation data and RNA-Seq data of breast tumors and normal tissues in the database of The Cancer Genome Atlas (TCGA) were integrated with information of DNA motifs in seven databases to find DNA-binding proteins and their binding motifs that were involved in aberrant DNA methylation in breast cancer. A total of 42,850 differentially methylated regions (DMRs) that include 77,298 CpG sites were detected in breast cancer. One hundred eight DNA motifs were found to be enriched in DMRs, and 109 genes encoding proteins binding to these motifs were determined. Based on these motifs and genes, 63 methylation modulator genes were identified to regulate differentially methylated CpG sites in breast cancer. A network of these 63 modulator genes and 645 transcription factors was constructed, and 20 network modules were determined. A number of pathways and gene sets related to breast cancer were found to be enriched in these network modules. The 63 methylation modulator genes identified may play an important role in aberrant methylation of CpG sites in breast cancer. They may help to understand site-specific dysregulation of DNA methylation and provide epigenetic markers for breast cancer.

Indexed as

DNA MethylationEpigenesis, GeneticGenome, HumanBreast NeoplasmsCpG IslandsFemaleHumansNucleotide MotifsRNARNAbreast cancerDNA-binding proteinDNA methylationDNA motifepigenetic modulatorgene network

Identifiers

PMID29940789
PMCPMC6291302
OpenAlexW2810701858

What Socratic 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 Socratic graph.