Evidence map›Paper›PMID 33962400›Full record

ArticleAging2021

Ectopic expression of MELK in oral squamous cell carcinoma and its correlation with epithelial mesenchymal transition.

Bo Li, Xinghuanyu Xu, Xin Bin, Jiang Zhou, Zhangui Tang

Open access · greenAbstract read
In one paragraph

Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. [Cancer stem cells in oral squamous cell carcinoma. Literature review].Revista cientifica odontologica (Universidad Cientifica del Sur)
    Review
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

5 authors at 1 institution in 1 country.

Bo LiXiangya School of Stomatology, Central South University, Changsha, Hunan 410008, PR China.
Xinghuanyu XuXiangya School of Stomatology, Central South University, Changsha, Hunan 410008, PR China.
Xin BinXiangya School of Stomatology, Central South University, Changsha, Hunan 410008, PR China.
Jiang ZhouXiangya School of Stomatology, Central South University, Changsha, Hunan 410008, PR China.
Zhangui TangXiangya School of Stomatology, Central South University, Changsha, Hunan 410008, PR China.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial-mesenchymal transition (EMT) is closely correlated to metastasis formation generation and maintenance of cancer stem cells, nevertheless, the underlying mechanisms are unclear. The aim of this study is to investigate the role of maternal embryonic leucine-zipper kinase (MELK) in EMT regulation in oral squamous cell carcinoma (OSCC). We found that there was overexpression of MELK in human OSCC tissues, and high MELK expression was correlated with lymphatic metastasis and led to poor prognosis in patients with OSCC. We also confirmed that MELK is closely correlated to the EMT process using a human OSCC tissue microarray. Additionally, MELK expression was observed to be regulated in several OSCC cell lines, and knockdown of MELK genes inhibited cell proliferation, migration, invasion and EMT of OSCC cells

Indexed as

Carcinoma, Squamous CellCell MovementCell ProliferationEctopic Gene ExpressionHead and Neck NeoplasmsHumansLymphatic MetastasisMouth NeoplasmsNeoplastic Stem CellsProtein Serine-Threonine KinasesSquamous Cell Carcinoma of Head and NeckMELK protein, humanProtein Serine-Threonine KinasesEMTMELKOSCC

Identifiers

PMID33962400
PMCPMC8148453
OpenAlexW3157557740

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.