Evidence map›Paper›PMID 34350290›Full record

ArticleBioMed research international2021

ARHGEF3 Associated with Invasion, Metastasis, and Proliferation in Human Osteosarcoma.

Jie Gong, Wei Tang, Bin Lv, Shushu Zhang, Tingjuan Fan, Guangyu Gao, Dong Chen, Yulong Liu

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. 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
0.3field-weighted citation impact, top 50% 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, 6 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Jie GongDepartment of Orthopedics, Suzhou Xiangcheng People's Hospital, 1060 Huayuan Road, Suzhou 215004, China.
Wei TangDepartment of Ultrasound, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Bin LvJiangxi Key Laboratory of Cancer Metastasis and Precision Treatment, The Third Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Shushu ZhangDepartment of Oncology, The Second Affiliated Hospital of Soochow University, 1055, Sanxiang Road, Suzhou, 215004 Jiangsu, China.
Tingjuan FanDepartment of Oncology, The Second Affiliated Hospital of Soochow University, 1055, Sanxiang Road, Suzhou, 215004 Jiangsu, China.
Guangyu GaoDepartment of Oncology, The Second Affiliated Hospital of Soochow University, 1055, Sanxiang Road, Suzhou, 215004 Jiangsu, China.ORCID https://orcid.org/0000-0002-1317-6764
Dong ChenDepartment of Orthopedics, Suzhou Xiangcheng People's Hospital, 1060 Huayuan Road, Suzhou 215004, China.ORCID https://orcid.org/0000-0003-1847-6122
Yulong LiuDepartment of Oncology, The Second Affiliated Hospital of Soochow University, 1055, Sanxiang Road, Suzhou, 215004 Jiangsu, China.ORCID https://orcid.org/0000-0003-2660-8076
Soochow University · CNNanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteosarcoma is a malignant bone tumor composed of mesenchymal cells producing osteoid and immature bone. This study is aimed at developing novel potential prognostic biomarkers and constructing a miRNA-mRNA network for progression in osteosarcoma.

methodGSE70367 and GSE70414 were obtained in the Gene Expression Omnibus (GEO) database. GEO software and the GEO2R calculation method were used to analyze two gene profiles. The coexpression of differentially expressed miRNAs (DEMs) and genes (DEGs) was identified and searched for in the FunRich database for pathway and ontology analysis. Cytoscape was utilized to construct the mRNA-miRNA network. Survival analysis of identified miRNAs and mRNAs was performed by utilizing the Kaplan-Meier Plotter. Besides, expression levels of DEMs and target mRNAs were verified by performing quantitative real-time PCR (qRT-PCR) and Western blot (WB).

resultsSix differentially expressed microRNAs (DEMs) were identified, and 8 target genes were selected after screening. By using the KM Plotter software, miRNA-124 and ARHGEF3 were obviously associated with the overall survival of patients with osteosarcoma. Furthermore, ARHGEF3 was found downregulated in osteosarcoma cells by performing qRT-PCR and WB experiments. Results also showed that downregulated ARHGEF3 may associate with invasion, metastasis, and proliferation.

conclusionsBy using microarray and bioinformatics analysis, DEMs were selected, and a complete miRNA-mRNA network was constructed. ARHGEF3 may act as a therapeutic and prognostic target of osteosarcoma.

Indexed as

Bone NeoplasmsCell Line, TumorCell MovementCell ProliferationGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMesenchymal Stem CellsMicroRNAsNeoplasm InvasivenessNeoplasm MetastasisOsteosarcomaPrognosisReproducibility of ResultsRho Guanine Nucleotide Exchange FactorsARHGEF3 protein, humanMicroRNAsRho Guanine Nucleotide Exchange FactorsRNA, MessengerTranscription Factors

Identifiers

PMID34350290
PMCPMC8328732
OpenAlexW3186624574

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.