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Identification of Key Genes and Signaling Pathways Associated with the Progression of Gastric Cancer

Genomic features have been gradually regarded as part of the fundamentals to the clinical diagnosis and treatment for gastric cancer. However, the molecular alterations taking place during the progression of gastric cancer remain unclear. Therefore, identification of potential key genes and pathways... Full description

Journal Title: Pathology oncology research : POR 17 December 2019
Main Author: Yu, Chaoran
Other Authors: Chen, Jie , Ma, Junjun , Zang, Lu , Dong, Feng , Sun, Jing , Zheng, Minhua
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: E-ISSN: 1532-2807 ; PMID: 31848941 Version:1 ; DOI: 10.1007/s12253-019-00781-3
Link: http://pubmed.gov/31848941
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recordid: medline31848941
title: Identification of Key Genes and Signaling Pathways Associated with the Progression of Gastric Cancer
format: Article
creator:
  • Yu, Chaoran
  • Chen, Jie
  • Ma, Junjun
  • Zang, Lu
  • Dong, Feng
  • Sun, Jing
  • Zheng, Minhua
subjects:
  • Differentially Expressed Genes
  • Gastric Cancer
  • Gene Ontology
  • Gene Set Enrichment Analysis
  • Kegg Pathway
  • Protein-Protein Interaction Network
ispartof: Pathology oncology research : POR, 17 December 2019
description: Genomic features have been gradually regarded as part of the fundamentals to the clinical diagnosis and treatment for gastric cancer. However, the molecular alterations taking place during the progression of gastric cancer remain unclear. Therefore, identification of potential key genes and pathways in the gastric cancer progression is crucial to clinical practices. The gene expression profile, GSE103236, was retrieved for the identification of the differentially expressed genes (DEGs), followed by gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichments, gene set enrichment analysis (GSEA) and the protein-protein interaction (PPI) networks. Multiple bioinformatics platforms were employed for expression and prognostic analysis. Fresh frozen gastric cancer tissues were used for external validation. A total of 161 DEGs were identified from GSE103236. The PPI network-derived hub genes included collagen type I alpha 1 chain (COL1A1), tissue inhibitor of the metalloproteinases...
language: eng
source:
identifier: E-ISSN: 1532-2807 ; PMID: 31848941 Version:1 ; DOI: 10.1007/s12253-019-00781-3
fulltext: fulltext
issn:
  • 15322807
  • 1532-2807
url: Link


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titleIdentification of Key Genes and Signaling Pathways Associated with the Progression of Gastric Cancer
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subjectDifferentially Expressed Genes ; Gastric Cancer ; Gene Ontology ; Gene Set Enrichment Analysis ; Kegg Pathway ; Protein-Protein Interaction Network
descriptionGenomic features have been gradually regarded as part of the fundamentals to the clinical diagnosis and treatment for gastric cancer. However, the molecular alterations taking place during the progression of gastric cancer remain unclear. Therefore, identification of potential key genes and pathways in the gastric cancer progression is crucial to clinical practices. The gene expression profile, GSE103236, was retrieved for the identification of the differentially expressed genes (DEGs), followed by gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichments, gene set enrichment analysis (GSEA) and the protein-protein interaction (PPI) networks. Multiple bioinformatics platforms were employed for expression and prognostic analysis. Fresh frozen gastric cancer tissues were used for external validation. A total of 161 DEGs were identified from GSE103236. The PPI network-derived hub genes included collagen type I alpha 1 chain (COL1A1), tissue inhibitor of the metalloproteinases...
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abstractGenomic features have been gradually regarded as part of the fundamentals to the clinical diagnosis and treatment for gastric cancer. However, the molecular alterations taking place during the progression of gastric cancer remain unclear. Therefore, identification of potential key genes and pathways in the gastric cancer progression is crucial to clinical practices. The gene expression profile, GSE103236, was retrieved for the identification of the differentially expressed genes (DEGs), followed by gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichments, gene set enrichment analysis (GSEA) and the protein-protein interaction (PPI) networks. Multiple bioinformatics platforms were employed for expression and prognostic analysis. Fresh frozen gastric cancer tissues were used for external validation. A total of 161 DEGs were identified from GSE103236. The PPI network-derived hub genes included collagen type I alpha 1 chain (COL1A1), tissue inhibitor of the metalloproteinases...
doi10.1007/s12253-019-00781-3
pmid31848941
date2019-12-17