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Bioinformatics Analysis of Key Genes and Pathways of Cervical Cancer
BACKGROUND AND OBJECTIVE: Globally, cervical cancer (CC) is the fourth most common cancer affecting women. Although effective screening reduces its incidence, it remains one of the most serious cancers threatening the health of women. Therefore, the purpose of this study is to find new genes that ca...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778384/ https://www.ncbi.nlm.nih.gov/pubmed/33402836 http://dx.doi.org/10.2147/OTT.S281533 |
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author | Chen, Huan Wang, Xi Jia, Huanhuan Tao, Yin Zhou, Hong Wang, Mingyuan Wang, Xin Fang, Xiaoling |
author_facet | Chen, Huan Wang, Xi Jia, Huanhuan Tao, Yin Zhou, Hong Wang, Mingyuan Wang, Xin Fang, Xiaoling |
author_sort | Chen, Huan |
collection | PubMed |
description | BACKGROUND AND OBJECTIVE: Globally, cervical cancer (CC) is the fourth most common cancer affecting women. Although effective screening reduces its incidence, it remains one of the most serious cancers threatening the health of women. Therefore, the purpose of this study is to find new genes that can be used as potential biomarkers for the prognosis of CC. METHODS AND RESULTS: After downloading three datasets such as GSE6791, GSE63678, and GSE63514 from the Gene Expression Omnibus (GEO), we combined the expression matrixes and analyzed them to obtain the differential expressed genes (DEGs). Next, using the STRING website, we performed the protein interaction network analysis. Subsequently, hub genes were screened using the R and Cytoscape software. Then, the expression difference and survival analyses of the hub genes were confirmed using GIPIA. Here, we established that the KNTC1 gene was correlated to the overall survival prognosis of CC. Besides, the expression of the KNTC1 gene in the GSE63514 dataset was significantly different from that of the normal cervix, cervical pre-cancerous lesions, and CC. Consequently, immunohistochemistry analysis showed that the results have a definite diagnostic value. CONCLUSION: The KNTC1 gene could be linked with the pathophysiology of CC and maybe one of the early diagnostic markers for the diagnosis of cervical pre-cancerous lesions. |
format | Online Article Text |
id | pubmed-7778384 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-77783842021-01-04 Bioinformatics Analysis of Key Genes and Pathways of Cervical Cancer Chen, Huan Wang, Xi Jia, Huanhuan Tao, Yin Zhou, Hong Wang, Mingyuan Wang, Xin Fang, Xiaoling Onco Targets Ther Original Research BACKGROUND AND OBJECTIVE: Globally, cervical cancer (CC) is the fourth most common cancer affecting women. Although effective screening reduces its incidence, it remains one of the most serious cancers threatening the health of women. Therefore, the purpose of this study is to find new genes that can be used as potential biomarkers for the prognosis of CC. METHODS AND RESULTS: After downloading three datasets such as GSE6791, GSE63678, and GSE63514 from the Gene Expression Omnibus (GEO), we combined the expression matrixes and analyzed them to obtain the differential expressed genes (DEGs). Next, using the STRING website, we performed the protein interaction network analysis. Subsequently, hub genes were screened using the R and Cytoscape software. Then, the expression difference and survival analyses of the hub genes were confirmed using GIPIA. Here, we established that the KNTC1 gene was correlated to the overall survival prognosis of CC. Besides, the expression of the KNTC1 gene in the GSE63514 dataset was significantly different from that of the normal cervix, cervical pre-cancerous lesions, and CC. Consequently, immunohistochemistry analysis showed that the results have a definite diagnostic value. CONCLUSION: The KNTC1 gene could be linked with the pathophysiology of CC and maybe one of the early diagnostic markers for the diagnosis of cervical pre-cancerous lesions. Dove 2020-12-29 /pmc/articles/PMC7778384/ /pubmed/33402836 http://dx.doi.org/10.2147/OTT.S281533 Text en © 2020 Chen 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 Chen, Huan Wang, Xi Jia, Huanhuan Tao, Yin Zhou, Hong Wang, Mingyuan Wang, Xin Fang, Xiaoling Bioinformatics Analysis of Key Genes and Pathways of Cervical Cancer |
title | Bioinformatics Analysis of Key Genes and Pathways of Cervical Cancer |
title_full | Bioinformatics Analysis of Key Genes and Pathways of Cervical Cancer |
title_fullStr | Bioinformatics Analysis of Key Genes and Pathways of Cervical Cancer |
title_full_unstemmed | Bioinformatics Analysis of Key Genes and Pathways of Cervical Cancer |
title_short | Bioinformatics Analysis of Key Genes and Pathways of Cervical Cancer |
title_sort | bioinformatics analysis of key genes and pathways of cervical cancer |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778384/ https://www.ncbi.nlm.nih.gov/pubmed/33402836 http://dx.doi.org/10.2147/OTT.S281533 |
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