Evidence map›Paper›PMID 24444095›Full record

ArticleJournal of ovarian research2014

Risk miRNA screening of ovarian cancer based on miRNA functional synergistic network.

Huanchun Ying, Jing Lyu, Tianshu Ying, Jun Li, Shanshan Jin, Jingru Shao, Lili Wang, Hongying Xu

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in Journal of ovarian research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Construction of a potentially functional long noncoding RNA-microRNA-mRNA network in diabetic cardiomyopathy.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2024
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  11. The AIB1 gene polyglutamine repeat length polymorphism contributes to risk of epithelial ovarian cancer risk: a case-control study.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Huanchun YingDepartment of Gynecology and Obstetrics, Shengjing Hospital of China Medical University, No,36, Sanhao Street, Heping District, Shenyang, Liaoning Province 110004, China. huanchunying2@hotmail.com.
Jing Lyu
Tianshu Ying
Jun Li
Shanshan Jin
Jingru Shao
Lili Wang
Hongying Xu
China Medical University · CNShenyang Fifth People Hospital · CNShenyang Ninth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundmiRNAs are proved to have causal roles in tumorgenesis involving various types of human cancers, but the mechanism is not clear. We aimed to explore the effect of miRNAs on the development of ovarian cancer and the underlying mechanism.

methodsThe miRNA expression profile GSE31801 was downloaded from GEO (Gene Expression Omnibus) database. Firstly, the differentially expressed miRNAs were screened. Target genes of the miRNAs were collected from TargetScan, PicTar, miRanda, and DIANA-microT database, then the miRNA-miRNA co-regulating network was constructed using miRNA pairs with common regulated target genes. Next, the functional modules in the network were studied, the miRNA pairs regulated at least one modules were enriched to form the miRNA functional synergistic network (MFSN).

resultsRisk miRNA were selected in MFSN according to the topological structure. Transcript factors (TFs) in MFSN were identified, followed by the miRNA-transcript factor networks construction. Totally, 42 up- and 61 down-regulated differentially expressed miRNAs were identified, of which 68 formed 2292 miRNA pairs in the miRNA-miRNA co-regulating network. GO: 0007268 (synaptic transmission) and GO: 0019226 (transmission of nerve impulse) were the two common functions of miRNAs in MFSN, and hsa-miR-579 (36), hsa-miR-942 (31), hsa-miR-105 (31), hsa-miR-150 (34), and hsa-miR-27a* (32) were selected as the hub nodes in MFSN.

conclusionsIn all, 17 TFs, including CREM, ERG, and CREB1 were screened as the cancer related TFs in MFSN. Other TFs, such as BIN1, FOXN3, FOXK1, FOXP2, and ESRRG with high degrees may be inhibited in ovarian cancer. MFSN gave us a new shed light on the mechanism studies in ovarian cancer.

Identifiers

PMID24444095
PMCPMC3902002
OpenAlexW2122184692

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Textmetadata
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.