Evidence map›Paper›PMID 29511483›Full record

ArticleGastroenterology and hepatology from bed to bench2017

Evaluation of involved proteins in colon adenocarcinoma: an interactome analysis.

Reza Valizadeh, Ayad Bahadorimonfared, Mostafa Rezaei-Tavirani, Mohsen Norouzinia, Mohammad Iavad Ehsani Ardakani

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Article in Gastroenterology and hepatology from bed to bench, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Human Prolactinoma: A View of Protein-Protein Interaction Pattern.International journal of endocrinology and metabolism · 2018
    Article
  5. Barrett's esophagus transits to a cancer condition via potential biomarkers.Gastroenterology and hepatology from bed to bench · 2018
    Article
  6. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Reza ValizadehFaculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran.
Ayad BahadorimonfaredFaculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mostafa Rezaei-TaviraniProteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohsen NorouziniaBasic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohammad Iavad Ehsani ArdakaniGastroenterology 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

aimAssessment of related genes to colon cancer to introduce crucial ones, was the aim of this research.

backgroundColon cancer is one of the invasive colorectal diseases. This disease is preventable and manageable if it be diagnosed in early stage. The aggressive tools for its detection imply more investigation for new molecular diagnostic methods.

methodsNumbers of 300 genes from String database (SD) are analyzed via constructed Protein-protein interaction (PPI) network by Cytoscape software 3.4.0. Based on centrality parameters the main connected component of network was analyzed and the crucial genes were introduced. Cluster analysis of the network and gene ontology for the nodes of the main cluster revealed more details about the role of the key proteins related to colon cancer disease.

resultsThe constructed network was consisted of 300 genes which among them 68 genes were isolated and the 232 other genes formed the main connected component. Ten crucial genes related to colon adenocarcinoma were introduced that presented in cluster 1. Gene ontology analysis showed that cluster 1 is involved in 226 biological processes which are classified in 25 groups.

conclusionIn conclusion, results indicate that the identified key proteins play significant roles in colon adenocarcinoma. It may be possible to introduce a few diagnostic biomarker candidates for colon cancer disease.

Indexed as

Biomarker candidateColon cancerGene ontologyHub-bottleneck nodesInteractome

Identifiers

PMID29511483
PMCPMC5838192

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