Evidence map›Paper›PMID 33546665›Full record

ArticleCancer cell international2021

The lncRNA NEAT1 promotes the epithelial-mesenchymal transition and metastasis of osteosarcoma cells by sponging miR-483 to upregulate STAT3 expression.

Yan Chen, Jun Li, Jia-Kun Xiao, Lei Xiao, Bin-Wu Xu, Chen Li

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

30 citing papers in PubMed, 40 citations in OpenAlex.

  1. Review
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  9. Article
  10. Osteosarcoma in a ceRNET perspective.Journal of biomedical science · 2024
    Review
  11. Review
  12. Review
  13. Emerging roles of long non-coding RNAs in osteosarcoma.Frontiers in molecular biosciences · 2024
    Review
  14. LncRNAs in oncogenic microenvironment: from threat to therapy.Frontiers in cell and developmental biology · 2024
    Review
  15. Article
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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 1 institution in 1 country.

Yan ChenDepartment of Nephrology, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, People's Republic of China.
Jun LiDepartment of Orthopedic Surgery, The Second Affiliated Hospital of Nanchang University, No. 1 Minde Road, Nanchang, 330006, Jiangxi, People's Republic of China.
Jia-Kun XiaoDepartment of Orthopedic Surgery, The Second Affiliated Hospital of Nanchang University, No. 1 Minde Road, Nanchang, 330006, Jiangxi, People's Republic of China.
Lei XiaoDepartment of Orthopedic Surgery, The Second Affiliated Hospital of Nanchang University, No. 1 Minde Road, Nanchang, 330006, Jiangxi, People's Republic of China.
Bin-Wu XuDepartment of Orthopedic Surgery, The Second Affiliated Hospital of Nanchang University, No. 1 Minde Road, Nanchang, 330006, Jiangxi, People's Republic of China.
Chen LiDepartment of Orthopedic Surgery, The Second Affiliated Hospital of Nanchang University, No. 1 Minde Road, Nanchang, 330006, Jiangxi, People's Republic of China. chenlidhn@163.com.ORCID http://orcid.org/0000-0002-4450-1232
Nanchang University · CN

Funding

Key Research and Development Projects of Jiangxi Science and Technology Department 20181BBG70026Project of Jiangxi Provincial Department of Education 1160266Project of Jiangxi Provincial Department of Science and Technology 20202BABL216056Project of the Second Affiliated Hospital of Nanchang University 2016YNZJ12007
6 · The paper itself

Abstract

backgroundOsteosarcoma is one of the most prevalent primary bone tumours in adolescents. Accumulating evidence shows that aberrant expression of the long non-coding RNA (lncRNA) NEAT1 and microRNA-483 (miR-483) contribute to the epithelial-mesenchymal transition (EMT), invasion and metastasis of tumour cells. However, the potential regulatory effects of NEAT1 and miR-483 on the EMT of osteosarcoma remain elusive.

methodsThe expression of the NEAT1, miR-483, signal transducer and activator of transcription-1 (STAT1), STAT3, and EMT-associated markers was measured using qRT-PCR or western blotting. NEAT1 overexpression or knockdown was induced by lentivirus-mediated transfection. A luciferase reporter assay was employed to confirm the association between NEAT1/miR-483 and miR-483/STAT3. RNA immunoprecipitation (RIP) was also performed to verify the NEAT1 and miR-483 interaction. Wound healing and transwell assays were implemented to assess the migration and invasion of U2OS cells. Unilateral subcutaneous injection of U2OS into nude mice was performed to investigate tumour metastasis in vivo.

resultsThe expression of miR-483 was downregulated in both osteosarcoma cell lines and osteosarcoma tissues. The overexpression of miR-483 suppressed the migration, invasion, and expression of EMT-associated proteins in U2OS cells, while simultaneous overexpression of STAT3 partially relieved this suppression. Mechanistically, miR-483 specifically targeted the 3' untranslated region (3'UTR) of STAT3 and repressed its expression. However, NEAT1 sponged miR-438, increased STAT3 expression, and repressed STAT1 expression, subsequently increasing the EMT of osteosarcoma cells. The knockdown of NEAT1 in transplanted U2OS cells impaired the liver and lung metastases of osteosarcoma in nude mice. Moreover, NEAT1 silencing inhibited the mesenchymal- epithelial transition (MET) of osteosarcoma at metastasis sites.

conclusionsThe lncRNA NEAT1/miR-483/STAT3 axis plays a crucial role in regulating the metastasis of osteosarcoma and potentially represents one appealing therapeutic target for osteosarcoma treatment in the future.

Indexed as

Epithelial-mesenchymal transition (EMT)MetastasismiR-483NEAT1OsteosarcomaSTAT3

Identifiers

PMID33546665
PMCPMC7866772
OpenAlexW3126211038

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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.