Evidence map›Paper›PMID 29103018›Full record

ReviewCancer biomarkers : section A of Disease markers2018

Single nucleotide polymorphism rs2274084 of gap junction protein beta 2 gene among Epstein-Barr virus-associated tumors.

Hua Xiao, Wen Liu, Zhenzhen Zhao, Yan Zhang, Yingying Song, Bing Luo

Abstract readReview
In one paragraph

Review in Cancer biomarkers : section A of Disease markers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

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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

2 citing papers in PubMed.

  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

6 authors.

Hua XiaoDepartment of Medical Microbiology, Qingdao University Medical College, Qingdao 266021, Shandong, China.
Wen LiuDepartment of Medical Microbiology, Qingdao University Medical College, Qingdao 266021, Shandong, China.
Zhenzhen ZhaoDepartment of Medical Microbiology, Qingdao University Medical College, Qingdao 266021, Shandong, China.
Yan ZhangDepartment of Medical Microbiology, Qingdao University Medical College, Qingdao 266021, Shandong, China.
Yingying SongDepartment of Medical Microbiology, Qingdao University Medical College, Qingdao 266021, Shandong, China.
Bing LuoDepartment of Medical Microbiology, Qingdao University Medical College, Qingdao 266021, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGap junction protein beta 2 gene (GJB2) encodes one of connexins- Connexin 26 (Cx26), which mainly expressed in epithelial cells. Cx26 is usually considered a channel to exchange information between cells, which plays a critical role in tumor cell proliferation.

objectiveWe investigated GJB2 rs2274084 polymorphism in three types of tumors, including nasophoryngeal carcinoma (NPC), gastric cancer (GC) and lymphoma.

methodsProteinase K digestion and phenolchloroform purification and QIAamp DNA FFPE tissue kit was used for DNA extraction. The genotype of GJB2 gene rs2274084 was detected through Sequenom MassARRAY SNP technique. The Chi-square test and Fisher's exact test were used to compare the differences between two groups.

resultsThe genotype frequency of GJB2 gene rs2274084 was significantly different between EBV-positive NPC and normal control (P< 0.05). However, for EBV-associated gastric cancer (EBVaGC), EBV-negative gastric cancer (EBVnGC) and lymphoma, no significant differences were found in comparison with the normal control.

conclusionsThe mutation rate of TT genotype was a risk factor to the occurrence of EBV-positive NPC.

Indexed as

AllelesDisease SusceptibilityHerpesvirus 4, HumanPolymorphism, Single NucleotideCell Transformation, ViralConnexin 26ConnexinsEpstein-Barr Virus InfectionsGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansNeoplasmsOdds RatioConnexin 26ConnexinsGJB2 protein, humanConnexin 26EBVGJB2NPCSNP

Identifiers

PMID29103018
PMCPMC13078301

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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.