Analysis of risk factors for colon cancer progression

Zhou Yang,* Yusheng Chen,* Dejun Wu, Zhijun Min, Yingjun QuanDepartment of General Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai 201399, People’s Republic of China*These authors contributed equally to this workPurpose: This study aimed to find risk fac...

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Main Authors: Yang Z, Chen Y, Wu D, Min Z, Quan Y
Format: Article
Language:English
Published: Dove Medical Press 2019-05-01
Series:OncoTargets and Therapy
Subjects:
Online Access:https://www.dovepress.com/analysis-of-risk-factors-for-colon-cancer-progression-peer-reviewed-article-OTT
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spelling doaj-1ed14e70f709449c8ea14dccae788a022020-11-25T02:34:10ZengDove Medical PressOncoTargets and Therapy1178-69302019-05-01Volume 123991400045965Analysis of risk factors for colon cancer progressionYang ZChen YWu DMin ZQuan YZhou Yang,* Yusheng Chen,* Dejun Wu, Zhijun Min, Yingjun QuanDepartment of General Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai 201399, People’s Republic of China*These authors contributed equally to this workPurpose: This study aimed to find risk factors for colon cancer progression with bioinformatics methods, and validated by clinical patients.Methods: Differentially expressed genes (DEGs) between colon cancer tissues and normal colon tissues were extracted from The Cancer Genome Atlas (TCGA) database using R software, amounted to 8,051. DEGs between pathologic stage I+II and stage III+IV amounted to 373, and were compared with DEGs of cancer/normal analyzed above to get the intersection of both. Ninety-six intersected DEGs were identified and defined as progressive DEGs of colon cancer. Then these 96 progressive DEGs were studied by Gene ontology and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway analysis using the DAVID database and visualizing by R software. A protein–protein interaction (PPI) network and functional modules were established using the STRING database. Further, an overall survival (OS) curve was drawn via the GEPIA website based on the CGA database and six progressive DEGs were found to be involved with OS of colon cancer patients. The Linkedomics website was used for detailed analysis of specific subsets of TNM.Results: Pregnancy specific glycoprotein (PSG), vitamin digestion, and absorption were confirmed to promote the progression of colon cancer. Furthermore, NTF4 was found to be associated with both OS and each subset of TNM; therefore, defined as a key risk factor for colon cancer progression. Further analysis of NTF4 expression using clinical data showed it acted as a key risk factor and diagnosis marker for colon cancer progression.Conclusion: NTF4 is a risk factor contributing to colon cancer progression and associated with overall survival.Keywords: colon cancer, differentially expressed genes, tumor progression, NTF4https://www.dovepress.com/analysis-of-risk-factors-for-colon-cancer-progression-peer-reviewed-article-OTTColon cancerDifferentially expressed genesTumor progressionNTF4
collection DOAJ
language English
format Article
sources DOAJ
author Yang Z
Chen Y
Wu D
Min Z
Quan Y
spellingShingle Yang Z
Chen Y
Wu D
Min Z
Quan Y
Analysis of risk factors for colon cancer progression
OncoTargets and Therapy
Colon cancer
Differentially expressed genes
Tumor progression
NTF4
author_facet Yang Z
Chen Y
Wu D
Min Z
Quan Y
author_sort Yang Z
title Analysis of risk factors for colon cancer progression
title_short Analysis of risk factors for colon cancer progression
title_full Analysis of risk factors for colon cancer progression
title_fullStr Analysis of risk factors for colon cancer progression
title_full_unstemmed Analysis of risk factors for colon cancer progression
title_sort analysis of risk factors for colon cancer progression
publisher Dove Medical Press
series OncoTargets and Therapy
issn 1178-6930
publishDate 2019-05-01
description Zhou Yang,* Yusheng Chen,* Dejun Wu, Zhijun Min, Yingjun QuanDepartment of General Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai 201399, People’s Republic of China*These authors contributed equally to this workPurpose: This study aimed to find risk factors for colon cancer progression with bioinformatics methods, and validated by clinical patients.Methods: Differentially expressed genes (DEGs) between colon cancer tissues and normal colon tissues were extracted from The Cancer Genome Atlas (TCGA) database using R software, amounted to 8,051. DEGs between pathologic stage I+II and stage III+IV amounted to 373, and were compared with DEGs of cancer/normal analyzed above to get the intersection of both. Ninety-six intersected DEGs were identified and defined as progressive DEGs of colon cancer. Then these 96 progressive DEGs were studied by Gene ontology and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway analysis using the DAVID database and visualizing by R software. A protein–protein interaction (PPI) network and functional modules were established using the STRING database. Further, an overall survival (OS) curve was drawn via the GEPIA website based on the CGA database and six progressive DEGs were found to be involved with OS of colon cancer patients. The Linkedomics website was used for detailed analysis of specific subsets of TNM.Results: Pregnancy specific glycoprotein (PSG), vitamin digestion, and absorption were confirmed to promote the progression of colon cancer. Furthermore, NTF4 was found to be associated with both OS and each subset of TNM; therefore, defined as a key risk factor for colon cancer progression. Further analysis of NTF4 expression using clinical data showed it acted as a key risk factor and diagnosis marker for colon cancer progression.Conclusion: NTF4 is a risk factor contributing to colon cancer progression and associated with overall survival.Keywords: colon cancer, differentially expressed genes, tumor progression, NTF4
topic Colon cancer
Differentially expressed genes
Tumor progression
NTF4
url https://www.dovepress.com/analysis-of-risk-factors-for-colon-cancer-progression-peer-reviewed-article-OTT
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