Evidence map›Paper›PMID 31113168›Full record

ArticleClinical endoscopy2019

Immunohistochemical Expression of Epithelial-Mesenchymal Transition Markers in Early Gastric Cancer: Cancer Tissue versus Noncancer Tissue.

Hee Jae Jung, Su Jin Hong, Shin Hee Kim

Open access · goldAbstract read
In one paragraph

Article in Clinical endoscopy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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

3 authors at 1 institution in 1 country.

Hee Jae JungDigestive Disease Center and Research Institute, Soonchunhyang University College of Medicine, Bucheon, Korea.
Su Jin HongDigestive Disease Center and Research Institute, Soonchunhyang University College of Medicine, Bucheon, Korea.
Shin Hee KimDigestive Disease Center and Research Institute, Soonchunhyang University College of Medicine, Bucheon, Korea.
Soonchunhyang University · KR

Funding

Soonchunhyang University
6 · The paper itself

Abstract

BACKGROUND/

aimsEpithelial-mesenchymal transition (EMT) is a developmental process, wherein the epithelial cells show reduced intercellular adhesions and acquire migratory fibroblastic properties. EMT is associated with downregulation in epithelial marker expression, abnormal translocation of E-cadherin, and upregulation in mesenchymal marker expression. Here, we investigated the immunohistochemical (IHC) expression of EMT markers in early gastric cancer (EGC) between cancer and noncancer tissues.

methodsTissue samples were prospectively obtained from 19 patients with EGC that underwent endoscopic submucosal dissection (ESD). We compared the expression level of transforming growth factor (TGF)-β, vascular endothelial growth factor (VEGF), E-cadherin, α-smooth muscle actin (α-SMA), and vimentin between cancer and noncancer tissues using IHC. Among the 19 patients, 15 patients had follow-up biopsy at 3 months after ESD for EGC.

resultsCancer tissues presented higher values of EMT mesenchymal markers (α-SMA/vimentin/TGF-β/VEGF) than the noncancerous tissues (p<0.05) that were significantly low after ESD (p<0.05). No significant correlation was reported for tumor location and initial Helicobacter pylori infection.

conclusionThe mesenchymal expression of EMT markers was higher in the cancerous tissues than in the noncancer tissues.

Indexed as

Early gastric cancerEndoscopic submucosal dissectionEpithelial-mesenchymal transitionImmunohistochemistry

Identifiers

PMID31113168
PMCPMC6785414
OpenAlexW2946737292

What OpenQuestion holds

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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.