Evidence map›Paper›PMID 37522198›Full record

ArticleCancer biomarkers : section A of Disease markers2023

The bioinformatics analysis of CD59 in Helicobacter pylori infected gastric cancer.

Jun Sun, Hui Cao, Tingting Wen, Zi Xu, Xian Zhang, Jianjun Wang, Hong Zhu

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

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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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Jun SunDepartment of Medical Service, Kunshan First People's Hospital, Kunshan, Jiangsu, China.
Hui CaoDepartment of food safety and evaluation, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China.
Tingting WenDepartment of Pharmacy, Kunshan First People's Hospital, Kunshan, Jiangsu, China.
Zi XuDepartment of Clinical Laboratory, Kunshan First People's Hospital, Kunshan, Jiangsu, China.
Xian ZhangDepartment of Clinical Laboratory, Kunshan First People's Hospital, Kunshan, Jiangsu, China.
Jianjun WangDepartment of Clinical Laboratory, Kunshan First People's Hospital, Kunshan, Jiangsu, China.
Hong ZhuDepartment of Clinical Laboratory, the Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, China.
Jiangsu University · CNChangzhou No.2 People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCell surface molecules play important roles in cell signal transduction pathways during microbial infection.

objectiveIn this study, the expression and the functions of CD59 was investigated in H. pylori infected gastric cancer (GC). METHODS AND

resultsThe differential expression of CD59 and the influence of H. pylori on the expression of CD59 were analyzed via bioinformatics through Gene Set Enrichment in GC. In addition, the expression of CD59 in GES-1, AGS cells and GC tissues infected with H. pylori was confirmed by Western blot. Bioinformatics results and H. pylori infection experiments showed CD59 decreased obviously in H. pylori infected GC cells and tissues. The expression of CD59 was linked to the survival rate of GC patients, and influenced various immune cells in the immune microenvironment of GC. CD59 interacts with other genes to form a network in H. pylori infected GC. Certainly, CD59 decreased significantly in H. pylori infected GC tissues, GES-1 and AGS cells in vitro.

conclusionH. pylori infection could influence the expression of CD59 in GC indicating that CD59 may be a promising treatment target.

Indexed as

Helicobacter pyloriStomach NeoplasmsCD59 AntigensComputational BiologyHumansSignal TransductionTumor MicroenvironmentCD59 AntigensCD59 protein, humanbioinformaticsCD59gastric cancerH. pylori

Identifiers

PMID37522198
PMCPMC12412847
OpenAlexW4385232993

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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.