Evidence map›Paper›PMID 29805640›Full record

ArticleOncology letters2018

miR-96 promotes invasion and metastasis by targeting GPC3 in non-small cell lung cancer cells.

Xiubin Fei, Jingang Zhang, Yunwei Zhao, Meijia Sun, Haifeng Zhao, Shuang Li

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

20 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Molecular Pathology of Lung Cancer.Cold Spring Harbor perspectives in medicine · 2022
    Review
  7. MicroRNA-96: A therapeutic and diagnostic tumor marker.Iranian journal of basic medical sciences · 2022
    Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Deregulated miRNAs in osteoporosis: effects in bone metastasis.Cellular and molecular life sciences : CMLS · 2019
    Review
  14. Article
  15. Article
  16. Article
  17. miR-96-5p targets PTEN expression affecting radio-chemosensitivity of HNSCC cells.Journal of experimental & clinical cancer research : CR · 2019
    Article
  18. Review
  19. Article
  20. 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

6 authors at 1 institution in 1 country.

Xiubin FeiDepartment of Geriatrics, First Affiliated Hospital of Jiamusi University, Jiamusi, Heilongjiang 154003, P.R. China.
Jingang ZhangDepartment of Bone Surgery, Jiamusi Central Hospital, Jiamusi, Heilongjiang 154003, P.R. China.
Yunwei ZhaoDepartment of Respiratory Medicine, First Affiliated Hospital of Jiamusi University, Jiamusi, Heilongjiang 154003, P.R. China.
Meijia SunDepartment of Geriatrics, First Affiliated Hospital of Jiamusi University, Jiamusi, Heilongjiang 154003, P.R. China.
Haifeng ZhaoDepartment of Geriatrics, First Affiliated Hospital of Jiamusi University, Jiamusi, Heilongjiang 154003, P.R. China.
Shuang LiDepartment of Respiratory Medicine, First Affiliated Hospital of Jiamusi University, Jiamusi, Heilongjiang 154003, P.R. China.
First Affiliated Hospital of Jiamusi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is a major cause of death worldwide, and non-small cell lung cancer (NSCLC) is the most common type of lung cancer. The aim of this study was to investigate whether miR-96 mediated the invasion and metastasis of NSCLC by targeting glypican-3 (

Indexed as

glypican-3invasionmigrationmiR-96

Identifiers

PMID29805640
PMCPMC5958666
OpenAlexW2800602783

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.