Evidence map›Paper›PMID 25649143›Full record

ArticleMolecular cancer2015

RhoC is a major target of microRNA-93-5P in epithelial ovarian carcinoma tumorigenesis and progression.

Xi Chen, Shuo Chen, Yin-Ling Xiu, Kai-Xuan Sun, Zhi-Hong Zong, Yang Zhao

Open access · goldAbstract read
In one paragraph

Article in Molecular cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

38 citing papers in PubMed, 71 citations in OpenAlex.

  1. Trial
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  4. MiRNA-93: a novel signature in human disorders and drug resistance.Cell communication and signaling : CCS · 2023
    Review
  5. MicroRNA in adenoid cystic carcinoma (Review).International journal of oncology · 2023
    Review
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  7. mCells · 2022
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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 2 institutions in 1 country.

Xi ChenDepartment of Gynecology, The First Affiliated Hospital of China Medical University, Shenyang, 110001, P. R. China. ccllnm@163.com.
Shuo ChenDepartment of Gynecology, The First Affiliated Hospital of China Medical University, Shenyang, 110001, P. R. China. chenshuo077003@163.com.
Yin-Ling XiuDepartment of Gynecology, The First Affiliated Hospital of China Medical University, Shenyang, 110001, P. R. China. xiuyinling@126.com.
Kai-Xuan SunDepartment of Gynecology, The First Affiliated Hospital of China Medical University, Shenyang, 110001, P. R. China. sunkx90@163.com.
Zhi-Hong ZongDepartment of Biochemistry and Molecular Biology, College of Basic Medicine, China Medical University, Shenyang, 110001, P. R. China. zongzhi_999@163.com.
Yang ZhaoDepartment of Gynecology, The First Affiliated Hospital of China Medical University, Shenyang, 110001, P. R. China. yida.zhaoyang@163.com.
China Medical University · CNFirst Hospital of China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn increasing amount of evidence has revealed that microRNAs regulate various biological processes, including cell differentiation, cell proliferation, apoptosis, drug resistance, and fat metabolism. Studies have shown that miR-93's targetome in cancer has not been fully defined. Moreover, the role of miR-93 in epithelial ovarian carcinoma (EOC) remains largely unknown.

methodsMIR-93 mRNA expression in normal ovarian tissue, benign tumors, borderline tumors, primary ovarian carcinomas, and metastatic omentum was quantified. The ovarian carcinoma cell lines OVCAR3, SKOV3/DDP, and HO8910-PM were transfected with miR-93-5P, after which cell phenotype and expression of relevant molecules were assayed. Dual-luciferase reporter assay and a xenograft mouse model were used to examine miR-93 and its target gene RHOC (Ras homolog gene family member C).

resultsMIR-93 mRNA expression was significantly lower in ovarian carcinomas and borderline tumors than in normal ovarian tissues (p < 0.05), and was lower in metastatic omentum than in relative primary ovarian carcinomas (p < 0.05). MIR-93 mRNA expression was also negatively associated with differentiation (well vs. poor and moderate) and International Federation of Gynecology and Obstetrics staging (FIGO stage I/II vs. stage III/IV) in ovarian carcinoma (p < 0.05), besides, miR-93 was higher expressed in mucinous adenocarcinoma than the other types (p < 0.05). MiR-93-5P overexpression reduced proliferation (p < 0.05); promoted G1 or S arrest and apoptosis (p < 0.05); suppressed migration and invasion (p < 0.05); and reduced RhoC, P70S6 kinase, Bcl-xL, matrix metalloproteinase 9 (MMP9) mRNA or protein expression; conversely, it induced P53 and cleaved PARP expression (p < 0.05). Dual-luciferase reporter assay indicated that miR-93 directly targeted RhoC by binding its 3' untranslated region. MiR-93-5P transfection also suppressed tumor development and RhoC expression (determined by immunohistochemistry) in vivo in the xenograft mouse model (p < 0.05).

conclusionsThis is the first demonstration that miR-93-5P may inhibit EOC tumorigenesis and progression by targeting RhoC. These findings indicate that miR-93-5P is a potential suppressor of ovarian cellular proliferation. The involvement of miR-93-5P-mediated RhoC downregulation in inhibiting EOC aggressiveness may provide extended insight into the molecular mechanisms underlying cancer aggressiveness.

Indexed as

3' Untranslated RegionsAdultAgedAged, 80 and overAnimalsApoptosisCarcinogenesisCarcinomaCell Cycle CheckpointsCell DifferentiationCell LineCell Line, TumorCell MovementCell ProliferationDisease ProgressionFemale3' Untranslated RegionsMatrix Metalloproteinase 9MicroRNAsMIRN93 microRNA, humanrhoC GTP-Binding ProteinRHOC protein, humanrho GTP-Binding ProteinsRNA, Messenger

Identifiers

PMID25649143
PMCPMC4328068
OpenAlexW2136367623

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.