Systematic enrichment analysis of gene expression profiling studies identifies consensus pathways implicated in colorectal cancer development

Background: A large number of gene expression profiling (GEP) studies on colorectal carcinogenesis have been performed but no reliable gene signature has been identified so far due to the lack of reproducibility in the reported genes. There is growing evidence that functionally related genes, rather...

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Main Authors: Jesús Lascorz, Kari Hemminki, Asta Försti
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2011-01-01
Series:Journal of Carcinogenesis
Subjects:
Online Access:http://www.carcinogenesis.com/article.asp?issn=1477-3163;year=2011;volume=10;issue=1;spage=7;epage=7;aulast=Lascorz
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spelling doaj-10cdad18e19f4fe1ad27f9ac45a459ec2020-11-24T21:31:42ZengWolters Kluwer Medknow PublicationsJournal of Carcinogenesis1477-31632011-01-011017710.4103/1477-3163.78268Systematic enrichment analysis of gene expression profiling studies identifies consensus pathways implicated in colorectal cancer developmentJesús LascorzKari HemminkiAsta FörstiBackground: A large number of gene expression profiling (GEP) studies on colorectal carcinogenesis have been performed but no reliable gene signature has been identified so far due to the lack of reproducibility in the reported genes. There is growing evidence that functionally related genes, rather than individual genes, contribute to the etiology of complex traits. We used, as a novel approach, pathway enrichment tools to define functionally related genes that are consistently up- or down-regulated in colorectal carcinogenesis. Materials and Methods: We started the analysis with 242 unique annotated genes that had been reported by any of three recent meta-analyses covering GEP studies on genes differentially expressed in carcinoma vs normal mucosa. Most of these genes (218, 91.9%) had been reported in at least three GEP studies. These 242 genes were submitted to bioinformatic analysis using a total of nine tools to detect enrichment of Gene Ontology (GO) categories or Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. As a final consistency criterion the pathway categories had to be enriched by several tools to be taken into consideration. Results: Our pathway-based enrichment analysis identified the categories of ribosomal protein constituents, extracellular matrix receptor interaction, carbonic anhydrase isozymes, and a general category related to inflammation and cellular response as significantly and consistently overrepresented entities. Conclusions: We triaged the genes covered by the published GEP literature on colorectal carcinogenesis and subjected them to multiple enrichment tools in order to identify the consistently enriched gene categories. These turned out to have known functional relationships to cancer development and thus deserve further investigation.http://www.carcinogenesis.com/article.asp?issn=1477-3163;year=2011;volume=10;issue=1;spage=7;epage=7;aulast=LascorzCarcinogenesiscolorectal cancerenrichment analysisgene expression profiling
collection DOAJ
language English
format Article
sources DOAJ
author Jesús Lascorz
Kari Hemminki
Asta Försti
spellingShingle Jesús Lascorz
Kari Hemminki
Asta Försti
Systematic enrichment analysis of gene expression profiling studies identifies consensus pathways implicated in colorectal cancer development
Journal of Carcinogenesis
Carcinogenesis
colorectal cancer
enrichment analysis
gene expression profiling
author_facet Jesús Lascorz
Kari Hemminki
Asta Försti
author_sort Jesús Lascorz
title Systematic enrichment analysis of gene expression profiling studies identifies consensus pathways implicated in colorectal cancer development
title_short Systematic enrichment analysis of gene expression profiling studies identifies consensus pathways implicated in colorectal cancer development
title_full Systematic enrichment analysis of gene expression profiling studies identifies consensus pathways implicated in colorectal cancer development
title_fullStr Systematic enrichment analysis of gene expression profiling studies identifies consensus pathways implicated in colorectal cancer development
title_full_unstemmed Systematic enrichment analysis of gene expression profiling studies identifies consensus pathways implicated in colorectal cancer development
title_sort systematic enrichment analysis of gene expression profiling studies identifies consensus pathways implicated in colorectal cancer development
publisher Wolters Kluwer Medknow Publications
series Journal of Carcinogenesis
issn 1477-3163
publishDate 2011-01-01
description Background: A large number of gene expression profiling (GEP) studies on colorectal carcinogenesis have been performed but no reliable gene signature has been identified so far due to the lack of reproducibility in the reported genes. There is growing evidence that functionally related genes, rather than individual genes, contribute to the etiology of complex traits. We used, as a novel approach, pathway enrichment tools to define functionally related genes that are consistently up- or down-regulated in colorectal carcinogenesis. Materials and Methods: We started the analysis with 242 unique annotated genes that had been reported by any of three recent meta-analyses covering GEP studies on genes differentially expressed in carcinoma vs normal mucosa. Most of these genes (218, 91.9%) had been reported in at least three GEP studies. These 242 genes were submitted to bioinformatic analysis using a total of nine tools to detect enrichment of Gene Ontology (GO) categories or Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. As a final consistency criterion the pathway categories had to be enriched by several tools to be taken into consideration. Results: Our pathway-based enrichment analysis identified the categories of ribosomal protein constituents, extracellular matrix receptor interaction, carbonic anhydrase isozymes, and a general category related to inflammation and cellular response as significantly and consistently overrepresented entities. Conclusions: We triaged the genes covered by the published GEP literature on colorectal carcinogenesis and subjected them to multiple enrichment tools in order to identify the consistently enriched gene categories. These turned out to have known functional relationships to cancer development and thus deserve further investigation.
topic Carcinogenesis
colorectal cancer
enrichment analysis
gene expression profiling
url http://www.carcinogenesis.com/article.asp?issn=1477-3163;year=2011;volume=10;issue=1;spage=7;epage=7;aulast=Lascorz
work_keys_str_mv AT jesuslascorz systematicenrichmentanalysisofgeneexpressionprofilingstudiesidentifiesconsensuspathwaysimplicatedincolorectalcancerdevelopment
AT karihemminki systematicenrichmentanalysisofgeneexpressionprofilingstudiesidentifiesconsensuspathwaysimplicatedincolorectalcancerdevelopment
AT astaforsti systematicenrichmentanalysisofgeneexpressionprofilingstudiesidentifiesconsensuspathwaysimplicatedincolorectalcancerdevelopment
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