Evidence map›Paper›PMID 27698824›Full record

ArticleOncology letters2016

miR-101 inhibits glioma cell invasion via the downregulation of COX-2.

Chunyang Ma, Chuanyi Zheng, Enqi Bai, Kun Yang

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. MicroRNAs in Female Malignancies.Cancer informatics · 2019
    Article
  10. Review
  11. Article
  12. Potential Epigenetic-Based Therapeutic Targets for Glioma.Frontiers in molecular neuroscience · 2018
    Review
  13. Involvement of P2XBioMed research international · 2018
    Article
  14. Article
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 1 institution in 1 country.

Chunyang MaDepartment of Neurosurgery, The Affiliated Hospital of Hainan Medical College, Haikou, Hainan 570102, P.R. China.
Chuanyi ZhengDepartment of Neurosurgery, The Affiliated Hospital of Hainan Medical College, Haikou, Hainan 570102, P.R. China.
Enqi BaiDepartment of Neurosurgery, The Affiliated Hospital of Hainan Medical College, Haikou, Hainan 570102, P.R. China.
Kun YangDepartment of Neurosurgery, The Affiliated Hospital of Hainan Medical College, Haikou, Hainan 570102, P.R. China.
Hainan Medical College Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioma is the most common type of primary tumor of the central nervous system. The present study aimed to demonstrate the role of miR-101 and cyclooxygenase-2 (COX-2) in the initiation and development of glioma. The expression of miR-101 and COX-2 in normal and malignant human glial cells and tissues was determined by western blotting and quantitative polymerase chain reaction analysis. The role of miR-101 on COX-2 expression was evaluated by a dual-luciferase reporter assay. The effects of miR-101 and COX-2 in glioma cell proliferation and invasion was verified by CCK-8 test and Transwell assays, respectively. The present study demonstrated that miR-101 expression was downregulated while COX-2 was upregulated in glioma tissues and cells. Furthermore, transfection of miR-101 significantly downregulated COX-2 expression in both U373 and U87 glioma cells. In addition, further experiments revealed that overexpression of miR-101 resulted in significant inhibition of the

Indexed as

cyclooxygenase-2gliomamiR-101

Identifiers

PMID27698824
PMCPMC5038506
OpenAlexW2485166030

What OpenQuestion holds

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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.