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Identification of key genes and pathways involved in microsatellite instability in colorectal cancer

Microsatellite instability (MSI) has emerged as one of the key biological features of colorectal cancer (CRC). However, controversies remain regarding the association between the MSI status and clinicopathological characteristics of CRC. Therefore, it is crucial to identify potential key genes and p... Full description

Journal Title: Molecular medicine reports March 2019, Vol.19(3), pp.2065-2076
Main Author: Yu, Chaoran
Other Authors: Hong, Hiju , Zhang, Sen , Zong, Yaping , Ma, Junjun , Lu, Aiguo , Sun, Jing , Zheng, Minhua
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: E-ISSN: 1791-3004 ; PMID: 30664178 Version:1 ; DOI: 10.3892/mmr.2019.9849
Link: http://pubmed.gov/30664178
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recordid: medline30664178
title: Identification of key genes and pathways involved in microsatellite instability in colorectal cancer
format: Article
creator:
  • Yu, Chaoran
  • Hong, Hiju
  • Zhang, Sen
  • Zong, Yaping
  • Ma, Junjun
  • Lu, Aiguo
  • Sun, Jing
  • Zheng, Minhua
subjects:
  • United States–Us
  • Gene Expression
  • Ribosomal Protein L12
  • Medical Prognosis
  • Microsatellite Instability
  • Endoplasmic Reticulum
  • Ribosomal Protein L16
  • Genomes
  • Tor Protein
  • Mortality
  • Zinc Finger Proteins
  • Colorectal Carcinoma
  • Genomes
  • Gene Expression
  • Data Bases
  • Colorectal Cancer
  • Mitochondria
  • Kinases
  • Rapamycin
ispartof: Molecular medicine reports, March 2019, Vol.19(3), pp.2065-2076
description: Microsatellite instability (MSI) has emerged as one of the key biological features of colorectal cancer (CRC). However, controversies remain regarding the association between the MSI status and clinicopathological characteristics of CRC. Therefore, it is crucial to identify potential key genes and pathways associated with MSI in CRC. In the present study, the GSE25071 gene expression profile was retrieved, with thirty‑eight cases of microsatellite stable (MSS), five of MSI‑High (MSI‑H) and three of MSI‑Low (MSI‑L) CRC patients. The differentially expressed genes (DEGs) were analyzed by Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes pathway enrichment, gene set enrichment analysis (GSEA) and gene co‑expression network analysis. Weighted gene correlation network analysis (WGCNA) was used for the gene modules and correlation of clinical traits. A total of forty‑nine DEGs were identified between MSI‑H and MSS, including six upregulated and forty‑three downregulated DEGs. Only the...
language: eng
source:
identifier: E-ISSN: 1791-3004 ; PMID: 30664178 Version:1 ; DOI: 10.3892/mmr.2019.9849
fulltext: fulltext
issn:
  • 17913004
  • 1791-3004
url: Link


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titleIdentification of key genes and pathways involved in microsatellite instability in colorectal cancer
creatorYu, Chaoran ; Hong, Hiju ; Zhang, Sen ; Zong, Yaping ; Ma, Junjun ; Lu, Aiguo ; Sun, Jing ; Zheng, Minhua
ispartofMolecular medicine reports, March 2019, Vol.19(3), pp.2065-2076
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descriptionMicrosatellite instability (MSI) has emerged as one of the key biological features of colorectal cancer (CRC). However, controversies remain regarding the association between the MSI status and clinicopathological characteristics of CRC. Therefore, it is crucial to identify potential key genes and pathways associated with MSI in CRC. In the present study, the GSE25071 gene expression profile was retrieved, with thirty‑eight cases of microsatellite stable (MSS), five of MSI‑High (MSI‑H) and three of MSI‑Low (MSI‑L) CRC patients. The differentially expressed genes (DEGs) were analyzed by Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes pathway enrichment, gene set enrichment analysis (GSEA) and gene co‑expression network analysis. Weighted gene correlation network analysis (WGCNA) was used for the gene modules and correlation of clinical traits. A total of forty‑nine DEGs were identified between MSI‑H and MSS, including six upregulated and forty‑three downregulated DEGs. Only the...
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subjectUnited States–Us ; Gene Expression ; Ribosomal Protein L12 ; Medical Prognosis ; Microsatellite Instability ; Endoplasmic Reticulum ; Ribosomal Protein L16 ; Genomes ; Tor Protein ; Mortality ; Zinc Finger Proteins ; Colorectal Carcinoma ; Genomes ; Gene Expression ; Data Bases ; Colorectal Cancer ; Mitochondria ; Kinases ; Rapamycin;
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titleIdentification of key genes and pathways involved in microsatellite instability in colorectal cancer
descriptionMicrosatellite instability (MSI) has emerged as one of the key biological features of colorectal cancer (CRC). However, controversies remain regarding the association between the MSI status and clinicopathological characteristics of CRC. Therefore, it is crucial to identify potential key genes and pathways associated with MSI in CRC. In the present study, the GSE25071 gene expression profile was retrieved, with thirty‑eight cases of microsatellite stable (MSS), five of MSI‑High (MSI‑H) and three of MSI‑Low (MSI‑L) CRC patients. The differentially expressed genes (DEGs) were analyzed by Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes pathway enrichment, gene set enrichment analysis (GSEA) and gene co‑expression network analysis. Weighted gene correlation network analysis (WGCNA) was used for the gene modules and correlation of clinical traits. A total of forty‑nine DEGs were identified between MSI‑H and MSS, including six upregulated and forty‑three downregulated DEGs. Only the...
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abstractMicrosatellite instability (MSI) has emerged as one of the key biological features of colorectal cancer (CRC). However, controversies remain regarding the association between the MSI status and clinicopathological characteristics of CRC. Therefore, it is crucial to identify potential key genes and pathways associated with MSI in CRC. In the present study, the GSE25071 gene expression profile was retrieved, with thirty‑eight cases of microsatellite stable (MSS), five of MSI‑High (MSI‑H) and three of MSI‑Low (MSI‑L) CRC patients. The differentially expressed genes (DEGs) were analyzed by Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes pathway enrichment, gene set enrichment analysis (GSEA) and gene co‑expression network analysis. Weighted gene correlation network analysis (WGCNA) was used for the gene modules and correlation of clinical traits. A total of forty‑nine DEGs were identified between MSI‑H and MSS, including six upregulated and forty‑three downregulated DEGs. Only the...
doi10.3892/mmr.2019.9849
pmid30664178
date2019-03