Evidence map›Paper›PMID 32184657›Full record

ArticleCancer management and research2020

ICAM1 Regulates the Development of Gastric Cancer and May Be a Potential Biomarker for the Early Diagnosis and Prognosis of Gastric Cancer.

Songda Chen, Shan Pan, Huijie Wu, Jingyuan Zhou, Yueli Huang, Shuai Wang, Aiqun Liu

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 31% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  6. SubvertingBiology · 2024
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  11. World journal of gastroenterology · 2021
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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

7 authors at 1 institution in 1 country.

Songda ChenDepartment of Endoscopy, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China.
Shan PanDepartment of Endoscopy, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China.
Huijie WuDepartment of Endoscopy, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China.ORCID 0000-0003-1381-6191
Jingyuan ZhouDepartment of Endoscopy, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China.
Yueli HuangDepartment of Endoscopy, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China.
Shuai WangDepartment of Colorectal Anal Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China.
Aiqun LiuDepartment of Endoscopy, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China.
Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric cancer (GC) is among the most common forms of cancer affecting the digestive system. This study sought to identify hub genes regulating early GC (EGC) in order to explore their potential for early diagnosis and prognosis of patients.

methodsWe utilized a publically available dataset from the Gene Expression Omnibus database (GSE55696). Differences between EGC and LGIN with respect to gene expression were compared using the limma software. Identified differentially expressed genes (DEGs) were subjected to gene ontology (GO) and pathway enrichment analyses with the DAVID application, and the STRING website and Cytoscape software were used to construct a protein-protein interaction (PPI) network incorporating these DEGs. This network was in turn used to identify hub genes among selected DEGs, which were analyzed with the Kaplan-Meier Plotter database. In addition, Western blotting, qRT-PCR, immunohistochemistry, and UALCAN were all employed to validate the relationship between the expression of these genes and GC patient prognosis.

resultsA total of 482 DEGs were identified, with GO analyses indicating an increase in the expression of genes linked with the development of cancer. Pathway analyses also indicated that these genes play a role in certain cancer-related pathways. The PPI network highlighted four potential hub genes, of which only ICAM1 was linked to a poor GC patient prognosis. This link between ICAM1 and GC patient outcomes was confirmed via UALCAN, Western blotting, immunohistochemistry, and qRT-PCR.

conclusionICAM1 may therefore modulate tumor progression in GC, thus potentially representing a valuable prognostic and diagnostic biomarker of EGC.

Indexed as

bioinformatics analysisbiomarkerearly diagnosisgastric cancerICAM1

Identifiers

PMID32184657
PMCPMC7060396
OpenAlexW3010115282

What OpenQuestion holds

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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.