Evidence map›Paper›PMID 33004058›Full record

ArticleJournal of ovarian research2020

Bioinformatics analysis of prognostic value and prospective pathway signal of miR-30a in ovarian cancer.

Weijia Lu, Yunyu Wu, Can Xiong Lu, Ting Zhu, Zhong Lu Ren, Zhiwu Yu

Open access · goldAbstract read
In one paragraph

Article in Journal of ovarian research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 12 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

6 authors at 4 institutions in 1 country.

Weijia LuGuangzhou University of Chinese Medicine, No.232, Waihuandong Road, University Town, Panyu District, Guangzhou, 510006, Guangdong, China.
Yunyu WuDepartment of Gynaecological Oncology, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, 510095, Guangdong Province, China.
Can Xiong LuLaboratory Department, Foshan Sanshui hospital of Traditional Chinese Medicine, Foshan, 528100, Guangdong, China.
Ting ZhuDivision of Laboratory Science, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, No.78, Hengzhigang Road, Yuexiu District, Guangzhou, 510095, Guangdong, China.
Zhong Lu RenCollege of Medical Information Engineering Guangdong Pharmaceutical University, Guangzhou, 510006, Guangdong, China.
Zhiwu YuDivision of Laboratory Science, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, No.78, Hengzhigang Road, Yuexiu District, Guangzhou, 510095, Guangdong, China. yuzhiwu_123@126.com.ORCID http://orcid.org/0000-0003-1368-0044
Guangzhou Medical University · CNFoshan Hospital of TCM · CNGuangdong Pharmaceutical University · CNGuangzhou University of Chinese Medicine · CN

Funding

National Natural Science Foundation of China 81902991
6 · The paper itself

Abstract

objectiveMicroRNAs (MiRNAs) is thought to play a critical role in the initiation and progress of ovarian cancer (OC). Although miRNAs has been widely recognized in ovarian cancer, the role of hsa-miR-30a-5p (miR-30a) in OC has not been fully elucidated.

methodsThree mRNA datasets of normal ovarian tissue and OC, GSE18520,GSE14407 and GSE36668, were downloaded from Gene Expression Omnibus (GEO) to find the differentially expressed gene (DEG). Then the target genes of hsa-miR-30a-5p were predicted by miRWALK3.0 and TargetScan. Then, the gene overlap between DEG and the predicted target genes of miR-30a in OC was analyzed by Gene Ontology (GO) enrichment analysis. Protein-protein interaction (PPI) network was conducted by STRING and Cytoscape, and the effect of HUB gene on the outcome of OC was analyzed.

resultsA common pattern of up-regulation of miR-30a in OC was found. A total of 225 DEG, were identified, both OC-related and miR-30a-related. Many DEG are enriched in the interactions of intracellular matrix tissue, ion binding and biological process regulation. Among the 10 major Hub genes analyzed by PPI, five Hub genes were significantly related to the overall poor survival of OC patients, in which the low expression of ESR1,MAPK10, Tp53 and the high expression of YKT,NSF were related to poor prognosis of OC.

conclusionOur results indicate that miR-30a is of significance for the biological progress of OC.

Indexed as

Computational BiologyFemaleHumansMicroRNAsOvarian NeoplasmsPrognosisProspective StudiesSignal TransductionSurvival AnalysisMicroRNAsMIRN30b microRNA, humanDifferentially expressed genesFunctional factors;miR-30aOvarian Cancer

Identifiers

PMID33004058
PMCPMC7532093
OpenAlexW3090705945

What OpenQuestion holds

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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.