Independent prognostic genes and mechanism investigation for colon cancer

Abstract Propose We aimed to explore the potential molecular mechanism and independent prognostic genes for colon cancer (CC). Methods Microarray datasets GSE17536 and GSE39582 were downloaded from Gene Expression Omnibus. Meanwhile, the whole CC-related dataset were downloaded from The Cancer Gen...

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Autores principales:	Li,Chunsheng, Shen,Zhen, Zhou,Yangyang, Yu,Wei
Lenguaje:	English
Publicado:	Sociedad de Biología de Chile 2018
Materias:	Colon cancer Differentially expressed microRNAs Function and pathway analysis Independent prognostic gene Overall survival Disease-free survival
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602018000100209
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spelling	oai:scielo:S0716-976020180001002092018-06-25Independent prognostic genes and mechanism investigation for colon cancerLi,ChunshengShen,ZhenZhou,YangyangYu,Wei Colon cancer Differentially expressed microRNAs Function and pathway analysis Independent prognostic gene Overall survival Disease-free survival Abstract Propose We aimed to explore the potential molecular mechanism and independent prognostic genes for colon cancer (CC). Methods Microarray datasets GSE17536 and GSE39582 were downloaded from Gene Expression Omnibus. Meanwhile, the whole CC-related dataset were downloaded from The Cancer Genome Atlas (TCGA) database. Differentially expressed mRNA (DEMs) were identified between cancer tissue samples and para-carcinoma tissue samples in TCGA dataset, followed by the KEGG pathway and GO function analyses. Furthermore, the clinical prognostic analysis including overall survival (OS) and disease-free survival (DFS) were performed in all three datasets. Results A total of 633 up- and 321 down-regulated mRNAs were revealed in TCGA dataset. The up-regulated mRNAs were mainly assembled in functions including extracellular matrix and pathways including Wnt signaling. The down-regulated mRNAs were mainly assembled in functions like Digestion and pathways like Drug metabolism. Furthermore, up-regulation of UL16-binding protein 2 (ULBP2) was associated with OS in CC patients. A total of 12 DEMs including Surfactant Associated 2 (SFTA2) were potential DFS prognostic genes in CC patients. Meanwhile, the GRP and Transmembrane Protein 37 (TMEM37) were two outstanding independent DFS prognostic genes in CC. Conclusions ULBP2 might be a potential novel OS prognostic biomarker in CC, while GRP and TMEM37 could be served as the independent DFS prognostic genes in CC. Furthermore, functions including extracellular matrix and digestion, as well as pathways including Wnt signaling and drug metabolism might play important roles in the process of CC.info:eu-repo/semantics/openAccessSociedad de Biología de ChileBiological Research v.51 20182018-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602018000100209en10.1186/s40659-018-0158-7
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Colon cancer Differentially expressed microRNAs Function and pathway analysis Independent prognostic gene Overall survival Disease-free survival
spellingShingle	Colon cancer Differentially expressed microRNAs Function and pathway analysis Independent prognostic gene Overall survival Disease-free survival Li,Chunsheng Shen,Zhen Zhou,Yangyang Yu,Wei Independent prognostic genes and mechanism investigation for colon cancer
description	Abstract Propose We aimed to explore the potential molecular mechanism and independent prognostic genes for colon cancer (CC). Methods Microarray datasets GSE17536 and GSE39582 were downloaded from Gene Expression Omnibus. Meanwhile, the whole CC-related dataset were downloaded from The Cancer Genome Atlas (TCGA) database. Differentially expressed mRNA (DEMs) were identified between cancer tissue samples and para-carcinoma tissue samples in TCGA dataset, followed by the KEGG pathway and GO function analyses. Furthermore, the clinical prognostic analysis including overall survival (OS) and disease-free survival (DFS) were performed in all three datasets. Results A total of 633 up- and 321 down-regulated mRNAs were revealed in TCGA dataset. The up-regulated mRNAs were mainly assembled in functions including extracellular matrix and pathways including Wnt signaling. The down-regulated mRNAs were mainly assembled in functions like Digestion and pathways like Drug metabolism. Furthermore, up-regulation of UL16-binding protein 2 (ULBP2) was associated with OS in CC patients. A total of 12 DEMs including Surfactant Associated 2 (SFTA2) were potential DFS prognostic genes in CC patients. Meanwhile, the GRP and Transmembrane Protein 37 (TMEM37) were two outstanding independent DFS prognostic genes in CC. Conclusions ULBP2 might be a potential novel OS prognostic biomarker in CC, while GRP and TMEM37 could be served as the independent DFS prognostic genes in CC. Furthermore, functions including extracellular matrix and digestion, as well as pathways including Wnt signaling and drug metabolism might play important roles in the process of CC.
author	Li,Chunsheng Shen,Zhen Zhou,Yangyang Yu,Wei
author_facet	Li,Chunsheng Shen,Zhen Zhou,Yangyang Yu,Wei
author_sort	Li,Chunsheng
title	Independent prognostic genes and mechanism investigation for colon cancer
title_short	Independent prognostic genes and mechanism investigation for colon cancer
title_full	Independent prognostic genes and mechanism investigation for colon cancer
title_fullStr	Independent prognostic genes and mechanism investigation for colon cancer
title_full_unstemmed	Independent prognostic genes and mechanism investigation for colon cancer
title_sort	independent prognostic genes and mechanism investigation for colon cancer
publisher	Sociedad de Biología de Chile
publishDate	2018
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602018000100209
work_keys_str_mv	AT lichunsheng independentprognosticgenesandmechanisminvestigationforcoloncancer AT shenzhen independentprognosticgenesandmechanisminvestigationforcoloncancer AT zhouyangyang independentprognosticgenesandmechanisminvestigationforcoloncancer AT yuwei independentprognosticgenesandmechanisminvestigationforcoloncancer
_version_	1718441569995980800

Independent prognostic genes and mechanism investigation for colon cancer

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