Evidence map›Paper›PMID 35123404›Full record

ArticleBMC genomic data2022

Construction and comprehensive analysis of the competing endogenous RNA network in endometrial adenocarcinoma.

Chong Feng, Lei Cui, Zhen Jin, Lei Sun, Xiaoyan Wang, Xinshu Chi, Qian Sun, Siyu Lian

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genomic data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 63% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Chong FengShengjing hospital affiliated to China medical university, No.36 ,Sanhao street, Heping district, Shenyang, Liaoning province, China.
Lei CuiSchool of health management, China medical university, No. 77, Puhe road, Shenbei new district, Shenyang, Liaoning province, China. lcui@cmu.edu.cn.
Zhen JinShengjing hospital affiliated to China medical university, No.36 ,Sanhao street, Heping district, Shenyang, Liaoning province, China.
Lei SunShengjing hospital affiliated to China medical university, No.36 ,Sanhao street, Heping district, Shenyang, Liaoning province, China.
Xiaoyan WangShengjing hospital affiliated to China medical university, No.36 ,Sanhao street, Heping district, Shenyang, Liaoning province, China.
Xinshu ChiShengjing hospital affiliated to China medical university, No.36 ,Sanhao street, Heping district, Shenyang, Liaoning province, China.
Qian SunShengjing hospital affiliated to China medical university, No.36 ,Sanhao street, Heping district, Shenyang, Liaoning province, China.
Siyu LianShengjing hospital affiliated to China medical university, No.36 ,Sanhao street, Heping district, Shenyang, Liaoning province, China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEndometrial carcinoma (EC) is one of the most common gynecological malignant tumors. In this study, we constructed gene co-expression networks to identify key modules and hub genes involved in the pathogenesis of EC.

resultsThe MEturquoise module was found to be significantly related to hypertension and the MEbrown module was significantly related to the history of other malignancies. Functional enrichment analysis showed that the MEturquoise module was associated with the GO biological process terms of transcription from RNA polymerase II promoter, positive regulation of male gonad development, endocardial cushion development, and endothelial cell differentiation. The MEbrown module was associated with GO terms DNA binding, epithelial-to-mesenchymal transition, and transcription from RNA polymerase II promoter. A total of 10 hub genes were identified and compared with the available datasets at transcriptional and translational levels.

conclusionsThe identified ceRNAs may play a critical role in the progression and metastasis of EC and are thus candidate therapeutic targets and potential prognostic biomarkers. The two modules constructed further provide a useful reference that will advance understanding of the mechanisms of tumorigenesis in EC.

Indexed as

AdenocarcinomaEndometrial NeoplasmsFemaleGene Expression ProfilingGene Regulatory NetworksHumansRNARNA Polymerase IIRNARNA Polymerase IICompeting endogenous RNAs co-expressionEndometrial carcinomaHub geneWeighted gene co-expression network analysis

Identifiers

PMID35123404
PMCPMC8818217
OpenAlexW4225299075

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.