Evidence map›Paper›PMID 34132380›Full record

ArticleMolecular medicine reports2021

MicroRNA‑193a‑5p exerts a tumor suppressive role in epithelial ovarian cancer by modulating RBBP6.

Shuangli Zhang, Jun Liu, Jie He, Nuo Yi

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 30% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. The Role of miRNA in Ovarian Cancer: an Overview.Reproductive sciences (Thousand Oaks, Calif.) · 2022
    Review
  9. Article
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

4 authors at 2 institutions in 1 country.

Shuangli ZhangDepartment of Gynecology, Beijing Ditan Hospital Capital Medical University, Beijing 100200, P.R. China.
Jun LiuDepartment of Gynecology, Beijing Ditan Hospital Capital Medical University, Beijing 100200, P.R. China.
Jie HeDepartment of Gynecology, Beijing Liangxiang Hospital Capital Medical University, Beijing 100200, P.R. China.
Nuo YiDepartment of Gynecology, Beijing Ditan Hospital Capital Medical University, Beijing 100200, P.R. China.
Capital Medical University · CNBeijing Ditan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial ovarian cancer (EOC), a gynecological tumor, is associated with high mortality. MicroRNAs (miRs) serve a crucial role in EOC; however, the mechanisms underlying the effect of miRNA‑193a‑5p in EOC are not completely understood. Therefore, the present study aimed to investigate the expression levels of miR‑193a‑5p in serum samples of patients with EOC and to determine the role of miR‑193a‑5p in EOC. Reverse transcription‑quantitative PCR was used to analyze the expression levels of miR‑193a‑5p in serum samples of patients with EOC and EOC cell lines. The effects of miR‑193a‑5p and RB binding protein 6, ubiquitin ligase (RBBP6) on the biological functions of EOC were determined by conducting a series of

Indexed as

AdultApoptosisCarcinoma, Ovarian EpithelialCell Line, TumorCell MovementCell ProliferationDNA-Binding ProteinsFemaleGene Expression Regulation, NeoplasticHumansMicroRNAsMiddle AgedOvarian NeoplasmsUbiquitin-Protein LigasesDNA-Binding ProteinsMicroRNAsMIRN193 microRNA, humanRBBP6 protein, humanUbiquitin-Protein Ligasesepithelial ovarian cancermicroRNA‑193a‑5pRB binding protein 6ubiquitin ligase

Identifiers

PMID34132380
PMCPMC8223108
OpenAlexW3167048059

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.