Evidence map›Paper›PMID 26239918›Full record

ArticleScientific reports2015

Systematically Prioritizing Functional Differentially Methylated Regions (fDMRs) by Integrating Multi-omics Data in Colorectal Cancer.

Huihui Fan, Hongying Zhao, Lin Pang, Ling Liu, Guanxiong Zhang, Fulong Yu, Tingting Liu, Chaohan Xu, Yun Xiao, Xia Li

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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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

10 authors at 1 institution in 1 country.

Huihui FanCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150086, China.
Hongying ZhaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150086, China.
Lin PangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150086, China.
Ling LiuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150086, China.
Guanxiong ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150086, China.
Fulong YuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150086, China.
Tingting LiuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150086, China.
Chaohan XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150086, China.
Yun XiaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150086, China.
Xia LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150086, China.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While genome-wide differential DNA methylation regions (DMRs) have been extensively identified, the comprehensive prioritization of their functional importance is still poorly explored. Here, we aggregated multiple data resources rooted in the genome, epigenome and transcriptome to systematically prioritize functional DMRs (fDMRs) in colorectal cancer (CRC). As demonstrated, the top-ranked fDMRs from all of the data resources showed a strong enrichment for known methylated genes. Additionally, we analyzed those top 5% DMR-coupled coding genes using functional enrichment, which resulted in significant disease-related biological functions in contrast to the tail 5% genes. To further confirm the functional importance of the top-ranked fDMRs, we applied chromatin modification alterations of CRC cell lines to characterize their functional regulation. Specifically, we extended the utility of the top-ranked DMR-coupled genes to serve as classification and survival biomarkers, which showed a robust performance across diverse independent data sets. Collectively, our results established an integrative framework to prioritize fDMRs, which could help characterize aberrant DNA methylation-induced potential mechanisms underlying tumorigenesis and uncover epigenome-based biomarkers for clinical diagnosis and prognosis.

Indexed as

Genome, HumanTranscriptomeBiomarkers, TumorCarcinogenesisCell Line, TumorColorectal NeoplasmsCpG IslandsDNA MethylationEpigenesis, GeneticHomeobox Protein Nkx-2.2Homeodomain ProteinsHumansMatrilin ProteinsPrognosisSurvival AnalysisTranscription FactorsBiomarkers, TumorHomeobox Protein Nkx-2.2Homeodomain ProteinsMATN4 protein, humanMatrilin ProteinsTranscription FactorsZebrafish Proteins

Identifiers

PMID26239918
PMCPMC4523937
OpenAlexW2416392522

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.