Evidence map›Paper›PMID 32194668›Full record

ArticleOncology letters2020

Overexpression of miR-206 in osteosarcoma and its associated molecular mechanisms as assessed through TCGA and GEO databases.

Xiongfeng Xu, Bo Qiu, Peng Yi, Huajie Li

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2020. 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 37% 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. Review
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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

4 authors at 2 institutions in 1 country.

Xiongfeng XuDepartment of Orthopedic Surgery, The Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China.
Bo QiuDepartment of Orthopedic Surgery, The Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China.
Peng YiDepartment of Orthopedic Surgery, The Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China.
Huajie LiDepartment of Orthopedic Surgery, The Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China.
Renmin Hospital of Wuhan University · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma (OS) is a primary malignant bone tumor that predominantly occurs in adolescents. Different types of OS tumor are highly malignant, associated with a poor prognosis and are invasive with blood-vessel dissemination characteristics, thus affected patients are prone to early lung metastasis. MicroRNAs (miRNAs/miR) are small non-coding RNA molecules that act as oncogenes or tumor suppressors during tumor development. The present study investigated the role of miR-206 in OS development. Bioinformatics analysis demonstrated that miR-206 was upregulated in OS and thus may serve as a risk factor for cancer prognosis. Subsequently, in response to miR-206 overexpression, differentially expressed genes were screened and analyzed using the Database for Annotation, Visualization and Integrated Discovery, Gene Ontology enrichment analysis, the Kyoto Encyclopedia of Genes and Genomes pathways and protein-protein interaction network construction, in order to identify key miR-206 targets. The results demonstrated that high miR-206 expression inhibited OS cell proliferation, which was associated with a good patient prognosis. Thus, miR-206 may serve as a potential target for OS treatment, in order to improve early disease diagnosis.

Indexed as

bioinformatics analysisdifferentially expressed genesmicroRNA-206osteosarcomasurvival analysis

Identifiers

PMID32194668
PMCPMC7039051
OpenAlexW2999397373

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.