Cargando…

Analysis of risk factors for colon cancer progression

Purpose: 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) databas...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Zhou, Chen, Yusheng, Wu, Dejun, Min, Zhijun, Quan, Yingjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6535430/
https://www.ncbi.nlm.nih.gov/pubmed/31190895
http://dx.doi.org/10.2147/OTT.S207390
_version_ 1783421570608267264
author Yang, Zhou
Chen, Yusheng
Wu, Dejun
Min, Zhijun
Quan, Yingjun
author_facet Yang, Zhou
Chen, Yusheng
Wu, Dejun
Min, Zhijun
Quan, Yingjun
author_sort Yang, Zhou
collection PubMed
description Purpose: 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.
format Online
Article
Text
id pubmed-6535430
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Dove
record_format MEDLINE/PubMed
spelling pubmed-65354302019-06-12 Analysis of risk factors for colon cancer progression Yang, Zhou Chen, Yusheng Wu, Dejun Min, Zhijun Quan, Yingjun Onco Targets Ther Original Research Purpose: 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. Dove 2019-05-22 /pmc/articles/PMC6535430/ /pubmed/31190895 http://dx.doi.org/10.2147/OTT.S207390 Text en © 2019 Yang et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Yang, Zhou
Chen, Yusheng
Wu, Dejun
Min, Zhijun
Quan, Yingjun
Analysis of risk factors for colon cancer progression
title 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_short Analysis of risk factors for colon cancer progression
title_sort analysis of risk factors for colon cancer progression
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6535430/
https://www.ncbi.nlm.nih.gov/pubmed/31190895
http://dx.doi.org/10.2147/OTT.S207390
work_keys_str_mv AT yangzhou analysisofriskfactorsforcoloncancerprogression
AT chenyusheng analysisofriskfactorsforcoloncancerprogression
AT wudejun analysisofriskfactorsforcoloncancerprogression
AT minzhijun analysisofriskfactorsforcoloncancerprogression
AT quanyingjun analysisofriskfactorsforcoloncancerprogression