Evidence map›Paper›PMID 16804985›Full record

ArticleWorld journal of gastroenterology2006

Functional studies of a novel oncogene TGM3 in human esophageal squamous cell carcinoma.

Wei Liu, Zai-Cheng Yu, Wen-Feng Cao, Fang Ding, Zhi-Hua Liu

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2006. 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
1.3field-weighted citation impact, top 20% 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, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Validation of tissue microarray technology in squamous cell carcinoma of the esophagus.Virchows Archiv : an international journal of pathology · 2008
    Article
  6. Examination of oral cancer biomarkers by tissue microarray analysis.Archives of otolaryngology--head & neck surgery · 2008
    Article
  7. 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

5 authors at 1 institution in 1 country.

Wei LiuDepartment of Thoracic Surgery, the First Affiliated Hospital of Anhui Medical University, Hefei, China.
Zai-Cheng Yu
Wen-Feng Cao
Fang Ding
Zhi-Hua Liu
Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate the role of transglutaminase 3 (TGM3) gene in human esophageal squamous cell carcinoma (ESCC), and analyze its relationship with clinicopathological parameters.

methodsGene expression of TGM3 in fresh esophageal cancer tissues and their corresponding normal mucosas was detected immunohistochemically (IHC) by means of tissue microarray (TMA). Its correlation with clinical characteristics was evaluated and analyzed by univariate analysis. All statistical analyses were performed by SPSS version 10.0.

resultsExpression rate of TGM3 was reduced to 81.8% in ESCC. Expression of TGM3 was significantly inversely correlated with histological grade of esophageal carcinoma (in grade I, II and III tumors, the reduced expression was 4/7, 57/71, and 20/21, respectively, P < 0.05), whereas it had no obvious correlations with lymph node metastasis and depth of invasion.

conclusionReduced expression of TGM3 may play an important role in esophageal carcinogenesis.

Indexed as

AdultAgedBiomarkers, TumorCarcinoma, Squamous CellDisease ProgressionEsophageal NeoplasmsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansImmunohistochemistryMaleMiddle AgedNeoplasm StagingOncogenesTransglutaminasesBiomarkers, TumorTGM3 protein, humanTransglutaminases

Identifiers

PMID16804985
PMCPMC4087948
OpenAlexW1532421481

What OpenQuestion holds

Textmetadata
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.