Evidence map›Paper›PMID 29471893›Full record

ArticleOncology research2019

miR-363-3p Inhibits Osteosarcoma Cell Proliferation and Invasion via Targeting SOX4.

Kejun Wang, Lin Yan, Fen Lu

Open access · hybridAbstract read
In one paragraph

Article in Oncology research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

23 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Role of microRNA-363 during tumor progression and invasion.Journal of physiology and biochemistry · 2024
    Review
  5. Article
  6. Article
  7. Review
  8. circEZH2Cancer science · 2023
    Article
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  14. Review
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  18. Article
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  20. Observational
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

3 authors at 2 institutions in 1 country.

Kejun WangDepartment of Orthopedics, Jingzhou Central Hospital, Jingzhou, Hubei Province, P.R. China.
Lin YanDepartment of Orthopedics, Jingzhou Central Hospital, Jingzhou, Hubei Province, P.R. China.
Fen LuThe First People's Hospital of Jingzhou, Jingzhou, Hubei Province, P.R. China.
Jingzhou Central Hospital · CNFirst People's Hospital of Jingzhou · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

miR-363-3p has been shown to suppress tumor growth and metastasis in various human cancers. However, the function of miR-363-3p in osteosarcoma (OS) has not been determined. In our study, we found that the expression of miR-363-3p was significantly downregulated in OS tissues compared with adjacent normal tissues. miR-363-3p expression was associated with the poor overall survival rate of OS patients. Moreover, we found that overexpression of miR-363-3p markedly inhibited the proliferation, migration, and invasion of U2OS and MG63 cells. Moreover, we found that SOX4 was a direct target of miR-363-3p in OS cells. Overexpression of miR-363-3p significantly inhibited the expression of SOX4. Expression levels of miR-363-3p and SOX4 were negatively correlated in OS tissues. Finally, we found that restoration of SOX4 attenuated the suppressive effects of miR-363-3p on the proliferation, migration, and invasion of U2OS and MG63 cells. Therefore, our findings demonstrated that miR-363-3p served as a tumor suppressor in OS tissues by targeting SOX4.

Indexed as

Bone NeoplasmsCell Line, TumorCell MovementCell ProliferationHumansMicroRNAsNeoplasm InvasivenessOsteosarcomaSOXC Transcription FactorsMicroRNAsMIRN363 microRNA, humanSOX4 protein, humanSOXC Transcription Factors

Identifiers

PMID29471893
PMCPMC7848441
OpenAlexW2792194655

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.