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Identification of Key Genes and Pathways in Cervical Cancer by Bioinformatics Analysis

Cervical cancer is a common malignant tumour of the female reproductive system that seriously threatens the health of women. The aims of this study were to identify key genes and pathways and to illuminate new molecular mechanisms underlying cervical cancer. Altogether, 1829 DEGs were identified, in...

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Autores principales: Wu, Xuan, Peng, Li, Zhang, Yaqin, Chen, Shilian, Lei, Qian, Li, Guancheng, Zhang, Chaoyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6643108/
https://www.ncbi.nlm.nih.gov/pubmed/31337953
http://dx.doi.org/10.7150/ijms.34172
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author Wu, Xuan
Peng, Li
Zhang, Yaqin
Chen, Shilian
Lei, Qian
Li, Guancheng
Zhang, Chaoyang
author_facet Wu, Xuan
Peng, Li
Zhang, Yaqin
Chen, Shilian
Lei, Qian
Li, Guancheng
Zhang, Chaoyang
author_sort Wu, Xuan
collection PubMed
description Cervical cancer is a common malignant tumour of the female reproductive system that seriously threatens the health of women. The aims of this study were to identify key genes and pathways and to illuminate new molecular mechanisms underlying cervical cancer. Altogether, 1829 DEGs were identified, including 794 significantly down-regulated DEGs and 1035 significantly up-regulated DEGs. GO analysis suggested that the up-regulated DEGs were mainly enriched in mitotic cell cycle processes, including DNA replication, organelle fission, chromosome segregation and cell cycle phase transition, and that the down-regulated DEGs were primarily enriched in development and differentiation processes, such as tissue development, epidermis development, skin development, keratinocyte differentiation, epidermal cell differentiation and epithelial cell differentiation. KEGG pathway analysis showed that the DEGs were significantly enriched in cell cycle, DNA replication, the p53 signalling pathway, pathways in cancer and oocyte meiosis. The top 9 hub genes with a high degree of connectivity (over 72 in the PPI network) were down-regulated TSPO, CCND1, and FOS and up-regulated CDK1, TOP2A, CCNB1, PCNA, BIRC5 and MAD2L1. Module analysis indicated that the top 3 modules were significantly enriched in mitotic cell cycle, DNA replication and regulation of cell cycle (P < 0.01). The heat map based on TCGA database preliminarily demonstrated the expression change of the key genes in cervical cancer. GSEA results were basically coincident with the front enrichment analysis results. By comprehensive analysis, we confirmed that cell cycle was a key biological process and a critical driver in cervical cancer. In conclusion, this study identified DEGs and screened the key genes and pathways closely related to cervical cancer by bioinformatics analysis, simultaneously deepening our understanding of the molecular mechanisms underlying the occurrence and progression of cervical cancer. These results might hold promise for finding potential therapeutic targets of cervical cancer.
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spelling pubmed-66431082019-07-23 Identification of Key Genes and Pathways in Cervical Cancer by Bioinformatics Analysis Wu, Xuan Peng, Li Zhang, Yaqin Chen, Shilian Lei, Qian Li, Guancheng Zhang, Chaoyang Int J Med Sci Research Paper Cervical cancer is a common malignant tumour of the female reproductive system that seriously threatens the health of women. The aims of this study were to identify key genes and pathways and to illuminate new molecular mechanisms underlying cervical cancer. Altogether, 1829 DEGs were identified, including 794 significantly down-regulated DEGs and 1035 significantly up-regulated DEGs. GO analysis suggested that the up-regulated DEGs were mainly enriched in mitotic cell cycle processes, including DNA replication, organelle fission, chromosome segregation and cell cycle phase transition, and that the down-regulated DEGs were primarily enriched in development and differentiation processes, such as tissue development, epidermis development, skin development, keratinocyte differentiation, epidermal cell differentiation and epithelial cell differentiation. KEGG pathway analysis showed that the DEGs were significantly enriched in cell cycle, DNA replication, the p53 signalling pathway, pathways in cancer and oocyte meiosis. The top 9 hub genes with a high degree of connectivity (over 72 in the PPI network) were down-regulated TSPO, CCND1, and FOS and up-regulated CDK1, TOP2A, CCNB1, PCNA, BIRC5 and MAD2L1. Module analysis indicated that the top 3 modules were significantly enriched in mitotic cell cycle, DNA replication and regulation of cell cycle (P < 0.01). The heat map based on TCGA database preliminarily demonstrated the expression change of the key genes in cervical cancer. GSEA results were basically coincident with the front enrichment analysis results. By comprehensive analysis, we confirmed that cell cycle was a key biological process and a critical driver in cervical cancer. In conclusion, this study identified DEGs and screened the key genes and pathways closely related to cervical cancer by bioinformatics analysis, simultaneously deepening our understanding of the molecular mechanisms underlying the occurrence and progression of cervical cancer. These results might hold promise for finding potential therapeutic targets of cervical cancer. Ivyspring International Publisher 2019-06-02 /pmc/articles/PMC6643108/ /pubmed/31337953 http://dx.doi.org/10.7150/ijms.34172 Text en © Ivyspring International Publisher This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Wu, Xuan
Peng, Li
Zhang, Yaqin
Chen, Shilian
Lei, Qian
Li, Guancheng
Zhang, Chaoyang
Identification of Key Genes and Pathways in Cervical Cancer by Bioinformatics Analysis
title Identification of Key Genes and Pathways in Cervical Cancer by Bioinformatics Analysis
title_full Identification of Key Genes and Pathways in Cervical Cancer by Bioinformatics Analysis
title_fullStr Identification of Key Genes and Pathways in Cervical Cancer by Bioinformatics Analysis
title_full_unstemmed Identification of Key Genes and Pathways in Cervical Cancer by Bioinformatics Analysis
title_short Identification of Key Genes and Pathways in Cervical Cancer by Bioinformatics Analysis
title_sort identification of key genes and pathways in cervical cancer by bioinformatics analysis
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6643108/
https://www.ncbi.nlm.nih.gov/pubmed/31337953
http://dx.doi.org/10.7150/ijms.34172
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