Evidence map›Paper›PMID 32439908›Full record

ArticleScientific reports2020

Bioinformatic analysis reveals the importance of epithelial-mesenchymal transition in the development of endometriosis.

Meihong Chen, Yilu Zhou, Hong Xu, Charlotte Hill, Rob M Ewing, Deming He, Xiaoling Zhang, Yihua Wang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
8.9field-weighted citation impact, top 2% 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

36 citing papers in PubMed, 85 citations in OpenAlex.

  1. Natural Products Targeting Oxidative Stress-Inflammation Crosstalk in Endometriosis.American journal of reproductive immunology (New York, N.Y. : 1989) · 2026
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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

8 authors at 3 institutions in 2 countries.

Meihong Chen *Department of Gynecology, Jiangxi Maternal and Child Health Hospital, Nanchang, Jiangxi, China.
Yilu Zhou *Biological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, SO17 1BJ, UK.
Hong XuDepartment of Medicine, Nanchang University, Nanchang, Jiangxi, China.
Charlotte HillBiological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, SO17 1BJ, UK.
Rob M EwingBiological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, SO17 1BJ, UK.
Deming HeDepartment of Gynecology, Jiangxi Maternal and Child Health Hospital, Nanchang, Jiangxi, China.
Xiaoling ZhangDepartment of Gynecology, Jiangxi Maternal and Child Health Hospital, Nanchang, Jiangxi, China. xlzzz777@126.com.
Yihua WangBiological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, SO17 1BJ, UK. yihua.wang@soton.ac.uk.
University of Southampton · GBJiangxi Maternal and Child Health Hospital · CNNanchang University · CN

Funding

Medical Research Council MR/S025480/1Wellcome Trust
6 · The paper itself

Abstract

backgroundEndometriosis is a frequently occurring disease in women, which seriously affects their quality of life. However, its etiology and pathogenesis are still unclear.

methodsTo identify key genes/pathways involved in the pathogenesis of endometriosis, we recruited 3 raw microarray datasets (GSE11691, GSE7305, and GSE12768) from Gene Expression Omnibus database (GEO), which contain endometriosis tissues and normal endometrial tissues. We then performed in-depth bioinformatic analysis to determine differentially expressed genes (DEGs), followed by gene ontology (GO), Hallmark pathway enrichment and protein-protein interaction (PPI) network analysis. The findings were further validated by immunohistochemistry (IHC) staining in endometrial tissues from endometriosis or control patients.

resultsWe identified 186 DEGs, of which 118 were up-regulated and 68 were down-regulated. The most enriched DEGs in GO functional analysis were mainly associated with cell adhesion, inflammatory response, and extracellular exosome. We found that epithelial-mesenchymal transition (EMT) ranked first in the Hallmark pathway enrichment. EMT may potentially be induced by inflammatory cytokines such as CXCL12. IHC confirmed the down-regulation of E-cadherin (CDH1) and up-regulation of CXCL12 in endometriosis tissues.

conclusionsUtilizing bioinformatics and patient samples, we provide evidence of EMT in endometriosis. Elucidating the role of EMT will improve the understanding of the molecular mechanisms involved in the development of endometriosis.

Indexed as

Epithelial-Mesenchymal TransitionGene Expression RegulationAdultBiomarkersCase-Control StudiesComputational BiologyEndometriosisEndometriumFemaleFollow-Up StudiesGene Expression ProfilingHumansPrognosisProtein Interaction MapsBiomarkers

Identifiers

PMID32439908
PMCPMC7242372
OpenAlexW3027386899

What OpenQuestion holds

Textmetadata
LicenceTDM
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.