Integrated bioinformatics analysis of key genes involved in progress of colon cancer

BACKGROUND: Colon cancer is one of most malignant cancers around worldwide. Nearly 20% patients were diagnosed at colon cancer with metastasis. However, the lack of understanding regarding its pathogenesis brings difficulties to study it. METHODS: In this study, we acquired high‐sequence data from G...

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Autores principales: Yang, Haojie, Wu, Jiong, Zhang, Jingjing, Yang, Zhigang, Jin, Wei, Li, Ying, Jin, Lei, Yin, Lu, Liu, Hua, Wang, Zhenyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6465657/
https://www.ncbi.nlm.nih.gov/pubmed/30746900
http://dx.doi.org/10.1002/mgg3.588
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author Yang, Haojie
Wu, Jiong
Zhang, Jingjing
Yang, Zhigang
Jin, Wei
Li, Ying
Jin, Lei
Yin, Lu
Liu, Hua
Wang, Zhenyi
author_facet Yang, Haojie
Wu, Jiong
Zhang, Jingjing
Yang, Zhigang
Jin, Wei
Li, Ying
Jin, Lei
Yin, Lu
Liu, Hua
Wang, Zhenyi
author_sort Yang, Haojie
collection PubMed
description BACKGROUND: Colon cancer is one of most malignant cancers around worldwide. Nearly 20% patients were diagnosed at colon cancer with metastasis. However, the lack of understanding regarding its pathogenesis brings difficulties to study it. METHODS: In this study, we acquired high‐sequence data from GEO dataset, and performed integrated bioinformatic analysis including differently expressed genes, gene ontology and Kyoto Encyclopedia of Genes and Genomes pathways analysis, protein–protein analysis, survival analysis to analyze the development of colon cancer. RESULTS: By comparing the colon cancer tissues with normal colon tissues, 109 genes were dysregulated; among them, 83 genes were downregulated and 26 genes were upregulated. Two clusters were founded based on the STRING database and MCODE plugin of cytoscape software. Then, six genes with prognostic value were filtered out in UALCAN website. CONCLUSION: We found that SPP1, VIP, COL11A1, CA2, ADAM12, INHBA could provide great significant prognostic value for colon cancer.
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spelling pubmed-64656572019-04-23 Integrated bioinformatics analysis of key genes involved in progress of colon cancer Yang, Haojie Wu, Jiong Zhang, Jingjing Yang, Zhigang Jin, Wei Li, Ying Jin, Lei Yin, Lu Liu, Hua Wang, Zhenyi Mol Genet Genomic Med Original Articles BACKGROUND: Colon cancer is one of most malignant cancers around worldwide. Nearly 20% patients were diagnosed at colon cancer with metastasis. However, the lack of understanding regarding its pathogenesis brings difficulties to study it. METHODS: In this study, we acquired high‐sequence data from GEO dataset, and performed integrated bioinformatic analysis including differently expressed genes, gene ontology and Kyoto Encyclopedia of Genes and Genomes pathways analysis, protein–protein analysis, survival analysis to analyze the development of colon cancer. RESULTS: By comparing the colon cancer tissues with normal colon tissues, 109 genes were dysregulated; among them, 83 genes were downregulated and 26 genes were upregulated. Two clusters were founded based on the STRING database and MCODE plugin of cytoscape software. Then, six genes with prognostic value were filtered out in UALCAN website. CONCLUSION: We found that SPP1, VIP, COL11A1, CA2, ADAM12, INHBA could provide great significant prognostic value for colon cancer. John Wiley and Sons Inc. 2019-02-11 /pmc/articles/PMC6465657/ /pubmed/30746900 http://dx.doi.org/10.1002/mgg3.588 Text en © 2019 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Yang, Haojie
Wu, Jiong
Zhang, Jingjing
Yang, Zhigang
Jin, Wei
Li, Ying
Jin, Lei
Yin, Lu
Liu, Hua
Wang, Zhenyi
Integrated bioinformatics analysis of key genes involved in progress of colon cancer
title Integrated bioinformatics analysis of key genes involved in progress of colon cancer
title_full Integrated bioinformatics analysis of key genes involved in progress of colon cancer
title_fullStr Integrated bioinformatics analysis of key genes involved in progress of colon cancer
title_full_unstemmed Integrated bioinformatics analysis of key genes involved in progress of colon cancer
title_short Integrated bioinformatics analysis of key genes involved in progress of colon cancer
title_sort integrated bioinformatics analysis of key genes involved in progress of colon cancer
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6465657/
https://www.ncbi.nlm.nih.gov/pubmed/30746900
http://dx.doi.org/10.1002/mgg3.588
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