Evidence map›Paper›PMID 31699026›Full record

ArticleBMC genomics2019

DNA methylation profiles capturing breast cancer heterogeneity.

Xiao Chen, Jianying Zhang, Xiaofeng Dai

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

18 citing papers in PubMed, 33 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

3 authors at 2 institutions in 1 country.

Xiao ChenSchool of Biotechnology, Jiangnan University, Wuxi, Jiangsu, China.
Jianying ZhangHenan Academy of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China.
Xiaofeng DaiWuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China. xiaofeng.dai@jiangnan.edu.cn.ORCID http://orcid.org/0000-0002-0006-4042
Jiangnan University · CNZhengzhou University · CN

Funding

Fundamental Research Funds for the Central Universities (CN) 1286010241170320Major Project of Science and Technology in Henan Province 2018ZX10302-205-004Six Talent Peaks Project in Jiangsu Province SWYY-128the Natural Science Foundation of Jiangsu Province BK20161130The Technology Development Funding of Wuxi WX18IVJN017
6 · The paper itself

Abstract

backgroundAs one of the most described epigenetic marks in human cancers, DNA methylation plays essential roles in gene expression regulation and has been implicated in the prognosis and therapeutics of many cancers. We are motivated in this study to explore DNA methylation profiles capturing breast cancer heterogeneity to improve breast cancer prognosis at the epigenetic level.

resultsThrough comparisons on differentially methylated CpG sites among breast cancer subtypes followed by a sequential validation and functional studies using computational approaches, we propose 313 CpG, corresponding to 191 genes, whose methylation pattern identifies the triple negative breast cancer subtype, and report cell migration as represented by extracellular matrix organization and cell proliferation as mediated via MAPK and Wnt signalings are the primary factors driving breast cancer subtyping.

conclusionsOur study offers novel CpGs and gene methylation patterns with translational potential on triple negative breast cancer prognosis, as well as fresh insights from the epigenetic level on breast cancer heterogeneity.

Indexed as

DNA MethylationBreast NeoplasmsCpG IslandsEpigenesis, GeneticHumansPrognosis

Identifiers

PMID31699026
PMCPMC6839140
OpenAlexW2984473535

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.