Evidence map›Paper›PMID 33563317›Full record

ArticleJournal of ovarian research2021

Prospective pathway signaling and prognostic values of MicroRNA-9 in ovarian cancer based on gene expression omnibus (GEO): a bioinformatics analysis.

Li Zuo, Xiaoli Li, Yue Tan, Hailong Zhu, Mi Xiao

Open access · goldAbstract read
In one paragraph

Article in Journal of ovarian research, 2021. 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 38% 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, 10 citations in OpenAlex.

  1. Article
  2. Novel De NovoInternational journal of molecular sciences · 2025
    Article
  3. Article
  4. Article
  5. The extracellular matrix glycoprotein fibrillin-1 in health and disease.Frontiers in cell and developmental biology · 2023
    Review
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

5 authors at 1 institution in 1 country.

Li ZuoDepartment of Oncology, Fudan University Shanghai Cancer Center, Minhang Branch, 106 Ruili road, Minhang district, Shanghai, 200240, China.
Xiaoli LiDepartment of Oncology, Fudan University Shanghai Cancer Center, Minhang Branch, 106 Ruili road, Minhang district, Shanghai, 200240, China.
Yue TanDepartment of Oncology, Fudan University Shanghai Cancer Center, Minhang Branch, 106 Ruili road, Minhang district, Shanghai, 200240, China.
Hailong ZhuDepartment of Oncology, Fudan University Shanghai Cancer Center, Minhang Branch, 106 Ruili road, Minhang district, Shanghai, 200240, China.
Mi XiaoDepartment of Oncology, Fudan University Shanghai Cancer Center, Minhang Branch, 106 Ruili road, Minhang district, Shanghai, 200240, China. 13671683478@163.com.ORCID http://orcid.org/0000-0002-9376-8224
Fudan University Shanghai Cancer Center · CN

Funding

Subject of Science and Technology Commission of Minhang District 2020MHZ087
6 · The paper itself

Abstract

objectiveMicroRNAs (miRNAs) play a vital role in the development of ovarian cancer (OC). The aim of this study to investigate the prognostic value and potential signaling pathways of hsa-miR-9-5p (miR-9) in OC through literature review and bioinformatics methods.

methodsThe expression of miR-9 in OC was assessed using the public datasets from the Gene Expression Omnibus (GEO) database. And a literature review was also performed to investigate the correlation between miR-9 expression and the OC prognosis. Two mRNA datasets (GSE18520 and GSE36668) of OC tissues and normal ovarian tissues (NOTs) were downloaded from GEO to identify the differentially expressed genes (DEGs). The target genes of hsa-miR-9-5p (TG-miR-9-5p) were predicted using miRWALK3.0 and TargetScan. Then the gene overlaps between DEGs in OC and the predicted TG-miR-9-5p were confirmed using a Venn diagram. After that, overlapping genes were subjected to Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Finally, a protein-protein interaction (PPI) network was constructed using STRING and Cytoscape, and the impact of hub genes on OC prognosis was analyzed.

resultsIt was found that OC patients with miR-9 low expression had poor prognosis. A total of 107 DEGs related to both OC and miR-9 were identified. Dozens of DEGs were enriched in developmental process, extracellular matrix structural constituent, cell junction, axon guidance. In the PPI network analysis, 5 of the top 10 hub genes was significantly associated with decreased overall survival of OC patients, namely FBN1 (HR = 1.64, P < 0.05), PRRX1 (HR = 1.76, P < 0.05), SMC2 (HR = 1.22, P < 0.05), SMC4 (HR = 1.31, P < 0.05), and VCAN (HR = 1.48, P < 0.05).

conclusionLow expression of miR-9 indicates poor prognosis of OC patients. MiR-9 plays a crucial role in the biological process of OC by binding to target genes, thus affecting the prognosis of patients.

Indexed as

Carcinoma, Ovarian EpithelialComputational BiologyDatabases, GeneticFemaleHumansMicroRNAsOvarian NeoplasmsPrognosisProgression-Free SurvivalSignal TransductionSurvival RateTranscriptomeMicroRNAsMIRN92 microRNA, humanDifferentially expressed genesFunctional factorsmiR-9Ovarian cancer

Identifiers

PMID33563317
PMCPMC7874475
OpenAlexW3126734065

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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.