Evidence map›Paper›PMID 30450849›Full record

ArticleYonsei medical journal2018

Yongzhu Li, Chunyan Luan

Open access · goldAbstract read
In one paragraph

Article in Yonsei medical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
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  6. Review
  7. Article
  8. Article
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  11. 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

2 authors at 1 institution in 1 country.

Yongzhu LiDepartment of Gastroenterology, Weifang Yidu Central Hospital, Weifang, Shandong, China. liyongzhu289@163.com.ORCID https://orcid.org/0000-0002-0097-4134
Chunyan LuanDepartment of Gastroenterology, Weifang Yidu Central Hospital, Weifang, Shandong, China.
Yidu Central Hospital of Weifang · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the effect and mechanism of phospholipase C epsilon gene 1 ( MATERIALS AND

methodsThe esophageal carcinoma cell lines Eca109 and EC9706 and normal esophageal epithelial cell line HEEC were cultured. The expression of PLCE1, protein kinase C alpha (PKCα), and nuclear factor kappa B (NF-κB) p50/p65 homodimer in cells were comparatively analyzed. The esophageal cancer cells were divided into si-PLCE1, control siRNA (scramble), and mock groups that were transfected with specific siRNA for PLCE1, control siRNA, and blank controls, respectively. Expression of PLCE1, PKCα, p50, and p65 was detected by Western blotting. Transwell assay was used to detect migration and invasion of Eca109 and EC9706 cells.

resultsCompared with HEEC, the expression of PLCE1, PKCα, p50, and p65 was increased in Eca109 and EC9706 cells. The expression of PLCE1 was positively correlated with the expression of PKCα and p50 (PKCα: r=0.6328,

conclusionPLCE1 activated NF-κB signaling by up-regulating PKCα, which could promote invasion and migration of esophageal cancer cells.

Indexed as

Phospholipase C deltaBlotting, WesternCell Line, TumorDown-RegulationEsophageal NeoplasmsGene Expression Regulation, NeoplasticHumansNF-kappa BNF-kappa B p50 SubunitPhosphoinositide Phospholipase CProtein Kinase C-alphaRNA, Small InterferingTranscriptional ActivationUp-RegulationNF-kappa BNF-kappa B p50 SubunitPhosphoinositide Phospholipase CPhospholipase C deltaphospholipase C epsilonPLCD4 protein, humanPRKCA protein, humanProtein Kinase C-alphaRNA, Small InterferingEsophageal cancerinvasionmigrationNF-κB signaling pathwayPKCαPLCE1

Identifiers

PMID30450849
PMCPMC6240569
OpenAlexW2901815223

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.