Evidence map›Paper›PMID 27612152›Full record

ArticlePloS one2016

MicroRNA Gene Expression Signature Driven by miR-9 Overexpression in Ovarian Clear Cell Carcinoma.

Nozomu Yanaihara, Yukiko Noguchi, Misato Saito, Masataka Takenaka, Satoshi Takakura, Kyosuke Yamada, Aikou Okamoto

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

15 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
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  3. Article
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  5. Article
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  8. Inhibition of miR-141 and miR-200a IncreaseInternational journal of environmental research and public health · 2020
    Article
  9. Review
  10. Oncotarget · 2019
    Article
  11. Five serum microRNAs for detection and predicting of ovarian cancer.European journal of obstetrics & gynecology and reproductive biology: X · 2019
    Article
  12. Article
  13. Review
  14. Review
  15. 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

7 authors at 2 institutions in 1 country.

Nozomu YanaiharaDepartment of Obstetrics and Gynecology, The Jikei University School of Medicine, Tokyo, Japan.
Yukiko NoguchiDepartment of Obstetrics and Gynecology, The Jikei University School of Medicine, Tokyo, Japan.
Misato SaitoDepartment of Obstetrics and Gynecology, The Jikei University School of Medicine, Tokyo, Japan.
Masataka TakenakaDepartment of Obstetrics and Gynecology, The Jikei University School of Medicine, Tokyo, Japan.
Satoshi TakakuraDepartment of Obstetrics and Gynecology, Dokkyo Medical University Koshigaya Hospital, Saitama, Japan.
Kyosuke YamadaDepartment of Obstetrics and Gynecology, The Jikei University School of Medicine, Tokyo, Japan.
Aikou OkamotoDepartment of Obstetrics and Gynecology, The Jikei University School of Medicine, Tokyo, Japan.
Jikei University School of Medicine · JPDokkyo Medical University Saitama Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies have identified microRNA (miRNA) involvement in human cancers. This study aimed to elucidate potential clinical and biological associations of ovarian cancer-related miRNA gene expression profiles in high-grade serous carcinoma (HGSC) and ovarian clear cell carcinoma (OCCC). Accordingly, we investigated 27 patients with ovarian cancer (12 HGSC and 15 OCCC cases) using quantitative real-time reverse transcription polymerase chain reaction to determine the cancer-related miRNA expressions. Gene Cluster 3.0 was used for hierarchical clustering analysis, and differentially expressed miRNAs between HGSC and OCCC were identified by the class comparison analysis using BRB-ArrayTools. An unsupervised hierarchical clustering analysis identified two distinct miRNA expression clusters, with histological subtype-related significant differences in the associations between clusters and clinicopathological features. A comparison of miRNA expression in HGSCs and OCCCs identified five miRNAs (miR-132, miR-9, miR-126, miR-34a, and miR-21), with OCCCs demonstrating a statistically higher expression. Further investigation of the biological significance of miR-9 overexpression in OCCC revealed that miR-9 inhibition reduced the cell invasion ability and upregulated E-cadherin expression. Using a luciferase reporter assay, we further demonstrated the direct binding of miR-9 to E-cadherin. Global cancer-related miRNA expression analysis identified statistically unique profiles that could discriminate ovarian cancer histotypes. In OCCC, miR-9 overexpression may affect pathogenesis by targeting E-cadherin, thereby inducing an epithelial-mesenchymal transition. Therefore, miR-9 may be a promising therapeutic target strategy for OCCC.

Indexed as

Adenocarcinoma, Clear CellBlotting, WesternCell Line, TumorCell MovementFemaleHumansIn Vitro TechniquesMicroRNAsMiddle AgedOvarian NeoplasmsReverse Transcriptase Polymerase Chain ReactionMicroRNAsMIRN126 microRNA, humanMIRN132 microRNA, humanMIRN34 microRNA, humanMIRN92 microRNA, human

Identifiers

PMID27612152
PMCPMC5017778
OpenAlexW2512860960

What OpenQuestion holds

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LicenceCC BY
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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.