Evidence map›Paper›PMID 29027534›Full record

ArticleCancer gene therapy2017

Long non-coding RNA MEG3 promotes the proliferation of glioma cells through targeting Wnt/β-catenin signal pathway.

X Gong, M Huang

RetractedOpen access · bronzeAbstract readRetracted Publication
PubMed Publisher
In one paragraph

Article in Cancer gene therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

33 citing papers in PubMed, 49 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Prognostic Value ofFrontiers in genetics · 2021
    Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

X GongDepartment of Neurosurgery, Hunan Provincial People's Hospital, Changsha, 410005, Hunan Province, China.
M HuangDepartment of Neurosurgery, Hunan Provincial People's Hospital, Changsha, 410005, Hunan Province, China.
Hunan Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioma has been identified as one of the most aggressive primary tumors. Long non-coding RNAs (lncRNAs), with length larger than 200 bp, have drawn increasing attention to their abnormal expression and regulation function in carcinogenesis. However, the role of lncRNAs in glioma remains largely unknown. Maternally expressed gene 3 (MEG3), also known as gene-trap locus 2 (GTL2), is an imprinted gene, and is encoded by the MEG3 transcript of the DLK1/MEG3 locus on human chromosome, or Meg3 on mouse chromosome. In this study, we found that lncRNA MEG3 was significantly downregulated in malignant glioma tissues and cell lines. The employment of the loss-of and gain-of functions assays presented that MEG3 suppressed glioma cells proliferation and induced cell-cycle arrest. Furthermore, our findings showed that highly expressed MEG3 could weaken Wnt/β-catenin signaling in glioma. Collectively, our findings revealed that downregulated lncRNA MEG3 could promote glioma cell proliferation through targeting Wnt/β-catenin signaling, which mainly influenced cell cycle.

Indexed as

Cell Cycle CheckpointsDown-RegulationGene Expression Regulation, NeoplasticWnt Signaling Pathwaybeta CateninCell Line, TumorFemaleGliomaHumansMaleNeoplasm ProteinsRNA, Long NoncodingRNA, Neoplasmbeta CateninMEG3 non-coding RNA, humanNeoplasm ProteinsRNA, Long NoncodingRNA, Neoplasm

Identifiers

PMID29027534
OpenAlexW2762059502

What OpenQuestion holds

Textmetadata
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.