Evidence map›Paper›PMID 37032412›Full record

ArticleJournal of the Egyptian National Cancer Institute2023

Network and functional analyses of differentially expressed genes in gastric cancer provide new biomarkers associated with disease pathogenesis.

Mousa Fadaei, Maryam Kohansal, Omidreza Akbarpour, Mahsa Sami, Ali Ghanbariasad

Open access · diamondAbstract read
In one paragraph

Article in Journal of the Egyptian National Cancer Institute, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Functional Role of miR-499a-5p in the Development of Gastric Cancer.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2024
    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.

Mousa FadaeiNoncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran.
Maryam KohansalDepartment of Medical Biotechnology, Fasa University of Medical Sciences, Fasa, Iran.
Omidreza AkbarpourGenetic Laboratory, Fasa University of Medical Sciences, Fasa, Iran.
Mahsa SamiNoncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran.
Ali GhanbariasadNoncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran. alighanbariasad@gmail.com.ORCID http://orcid.org/0000-0002-1725-1426
Fasa University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric cancer is a dominant source of cancer-related death around the globe and a serious threat to human health. However, there are very few practical diagnostic approaches and biomarkers for the treatment of this complex disease.

methodsThis study aimed to evaluate the association between differentially expressed genes (DEGs), which may function as potential biomarkers, and the diagnosis and treatment of gastric cancer (GC). We constructed a protein-protein interaction network from DEGs followed by network clustering. Members of the two most extensive modules went under the enrichment analysis. We introduced a number of hub genes and gene families playing essential roles in oncogenic pathways and the pathogenesis of gastric cancer. Enriched terms for Biological Process were obtained from the "GO" repository.

resultsA total of 307 DEGs were identified between GC and their corresponding normal adjacent tissue samples in GSE63089 datasets, including 261 upregulated and 261 downregulated genes. The top five hub genes in the PPI network were CDK1, CCNB1, CCNA2, CDC20, and PBK. They are involved in focal adhesion formation, extracellular matrix remodeling, cell migration, survival signals, and cell proliferation. No significant survival result was found for these hub genes.

conclusionsUsing comprehensive analysis and bioinformatics methods, important key pathways and pivotal genes related to GC progression were identified, potentially informing further studies and new therapeutic targets for GC treatment.

Indexed as

Gene Expression ProfilingStomach NeoplasmsBiomarkers, TumorComputational BiologyGene Expression Regulation, NeoplasticHumansBiomarkers, TumorBiomarkersGastric cancerGene expressionSignaling networks

Identifiers

PMID37032412
PMCPMC13313977
OpenAlexW4362731301

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LicenceCC BY
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Registered trials

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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.