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Comprehensive gene and pathway analysis of cervical cancer progression

Cervical Cancer is one of the leading causes of cancer-associated mortality in women. The present study aimed to identify key genes and pathways involved in cervical cancer (CC) progression, via a comprehensive bioinformatics analysis. The GSE63514 dataset from the Gene Expression Omnibus database w...

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Autores principales: Yi, Yuexiong, Fang, Yan, Wu, Kejia, Liu, Yanyan, Zhang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7074609/
https://www.ncbi.nlm.nih.gov/pubmed/32256826
http://dx.doi.org/10.3892/ol.2020.11439
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author Yi, Yuexiong
Fang, Yan
Wu, Kejia
Liu, Yanyan
Zhang, Wei
author_facet Yi, Yuexiong
Fang, Yan
Wu, Kejia
Liu, Yanyan
Zhang, Wei
author_sort Yi, Yuexiong
collection PubMed
description Cervical Cancer is one of the leading causes of cancer-associated mortality in women. The present study aimed to identify key genes and pathways involved in cervical cancer (CC) progression, via a comprehensive bioinformatics analysis. The GSE63514 dataset from the Gene Expression Omnibus database was analyzed for hub genes and cancer progression was divided into four phases (phases I–IV). Pathway enrichment, protein-protein interaction (PPI) and pathway crosstalk analyses were performed, to identify key genes and pathways using a criterion nodal degree ≥5. Gene pathway analysis was determined by mapping the key genes into the key pathways. Co-expression between key genes and their effect on overall survival (OS) time was assessed using The Cancer Genome Atlas database. A total of 3,446 differentially expressed genes with 107 hub genes were identified within the four phases. A total of 14 key genes with 11 key pathways were obtained, following extraction of ≥5 degree nodes from the PPI and pathway crosstalk networks. Gene pathway analysis revealed that CDK1 and CCNB1 regulated the cell cycle and were activated in phase I. Notably, the following terms, ‘pathways in cancer’, ‘focal adhesion’ and the ‘PI3K-Akt signaling pathway’ ranked the highest in phases II–IV. Furthermore, FN1, ITGB1 and MMP9 may be associated with metastasis of tumor cells. STAT1 was indicated to predominantly function at the phase IV via cancer-associated signaling pathways, including ‘pathways in cancer’ and ‘Toll-like receptor signaling pathway’. Survival analysis revealed that high ITGB1 and FN1 expression levels resulted in significantly worse OS. CDK1 and CCNB1 were revealed to regulate proliferation and differentiation through the cell cycle and viral tumorigenesis, while FN1 and ITGB1, which may be developed as novel prognostic factors, were co-expressed to induce metastasis via cancer-associated signaling pathways, including PI3K-Art signaling pathway, and focal adhesion in CC; however, the underlying molecular mechanisms require further research.
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spelling pubmed-70746092020-03-31 Comprehensive gene and pathway analysis of cervical cancer progression Yi, Yuexiong Fang, Yan Wu, Kejia Liu, Yanyan Zhang, Wei Oncol Lett Articles Cervical Cancer is one of the leading causes of cancer-associated mortality in women. The present study aimed to identify key genes and pathways involved in cervical cancer (CC) progression, via a comprehensive bioinformatics analysis. The GSE63514 dataset from the Gene Expression Omnibus database was analyzed for hub genes and cancer progression was divided into four phases (phases I–IV). Pathway enrichment, protein-protein interaction (PPI) and pathway crosstalk analyses were performed, to identify key genes and pathways using a criterion nodal degree ≥5. Gene pathway analysis was determined by mapping the key genes into the key pathways. Co-expression between key genes and their effect on overall survival (OS) time was assessed using The Cancer Genome Atlas database. A total of 3,446 differentially expressed genes with 107 hub genes were identified within the four phases. A total of 14 key genes with 11 key pathways were obtained, following extraction of ≥5 degree nodes from the PPI and pathway crosstalk networks. Gene pathway analysis revealed that CDK1 and CCNB1 regulated the cell cycle and were activated in phase I. Notably, the following terms, ‘pathways in cancer’, ‘focal adhesion’ and the ‘PI3K-Akt signaling pathway’ ranked the highest in phases II–IV. Furthermore, FN1, ITGB1 and MMP9 may be associated with metastasis of tumor cells. STAT1 was indicated to predominantly function at the phase IV via cancer-associated signaling pathways, including ‘pathways in cancer’ and ‘Toll-like receptor signaling pathway’. Survival analysis revealed that high ITGB1 and FN1 expression levels resulted in significantly worse OS. CDK1 and CCNB1 were revealed to regulate proliferation and differentiation through the cell cycle and viral tumorigenesis, while FN1 and ITGB1, which may be developed as novel prognostic factors, were co-expressed to induce metastasis via cancer-associated signaling pathways, including PI3K-Art signaling pathway, and focal adhesion in CC; however, the underlying molecular mechanisms require further research. D.A. Spandidos 2020-04 2020-03-03 /pmc/articles/PMC7074609/ /pubmed/32256826 http://dx.doi.org/10.3892/ol.2020.11439 Text en Copyright: © Yi et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Yi, Yuexiong
Fang, Yan
Wu, Kejia
Liu, Yanyan
Zhang, Wei
Comprehensive gene and pathway analysis of cervical cancer progression
title Comprehensive gene and pathway analysis of cervical cancer progression
title_full Comprehensive gene and pathway analysis of cervical cancer progression
title_fullStr Comprehensive gene and pathway analysis of cervical cancer progression
title_full_unstemmed Comprehensive gene and pathway analysis of cervical cancer progression
title_short Comprehensive gene and pathway analysis of cervical cancer progression
title_sort comprehensive gene and pathway analysis of cervical cancer progression
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7074609/
https://www.ncbi.nlm.nih.gov/pubmed/32256826
http://dx.doi.org/10.3892/ol.2020.11439
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