Evidence map›Paper›PMID 30774815›Full record

ArticleGastroenterology and hepatology from bed to bench2018

SRC and TP53 play critical role in low-grade dysplasia colorectal mucosa transformation into cancer.

Hamid Asadzadeh-Aghdaei, Mona Zamanian Azodi, Reza Vafaee, Hamideh Moravvej Farshi, Nosratollah Naderi

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Article in Gastroenterology and hepatology from bed to bench, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Predication of hub target genes of differentially expressed microRNAs contributing toGastroenterology and hepatology from bed to bench · 2019
    Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hamid Asadzadeh-AghdaeiBasic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mona Zamanian AzodiStudent Research Committee, Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Reza VafaeeProteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Hamideh Moravvej FarshiSkin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Nosratollah NaderiGastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimDetermination of crucial genes that are involved in onset and progress of dysplasia of colorectal mucosa is the aim of this study.

backgroundManagement of dysplasia as one of the risk factors of colon cancer is very challenging. Molecular studies could be helpful in this matter. Here, the transcriptome profile of low-grade dysplasia in colon tissue in comparison with normal one is studied by protein-protein interaction (PPI) network analysis.

methodsFor detecting differentially expressed genes (DEGs) of dysplasia lesion, the data was downloaded from the gene chip GSE31106, platform GPL1261, GSM770092-94 as normal colorectal mucosa group and GSM770098-100 as low-grade dysplasia colorectal mucosa from the Gene Expression Omnibus database (GEO). The expression profile is evaluated by GEO2R and a network of DEGs is constructed and analyzed by Cytoscape algorithms.

resultsThe findings indicate that a PPI network analysis of 113 DEGs is consist of 8 nodes that 6 of them are common with inflammation state. Only SRC and TP53 were recognized as the specific makers for dysplasia. In this respect, a subnetwork of these two genes introduce a panel of 8 nodes consist of HRAS, MYC, PIK3CA, PIK3CB, PIK3CD, PIK3CG, SRC, and TP53.

conclusionIt can be concluded that SRC and TP53 may play prominent role in dysplasia pathogenicity after running validation tests.

Indexed as

Colorectal cancerDysplasia lesionProtein-protein interaction network analysis

Identifiers

PMID30774815
PMCPMC6347985

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