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Exploration of the molecular mechanisms of cervical cancer based on mRNA expression profiles and predicted microRNA interactions

The molecular mechanisms of cervical cancer have been minimally explored with multi-omics data. In the present study, mRNA expression profiles were analyzed and combined with predicted miRNA interactions to contribute to the characterization of the underlying regulatory mechanisms of cervical cancer...

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Autores principales: Zhao, Liang, Zhang, Zhechao, Lou, Hongyan, Liang, Jingjing, Yan, Xiaojian, Li, Wenfeng, Xu, Yunsheng, Ou, Rongying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5958731/
https://www.ncbi.nlm.nih.gov/pubmed/29805632
http://dx.doi.org/10.3892/ol.2018.8494
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author Zhao, Liang
Zhang, Zhechao
Lou, Hongyan
Liang, Jingjing
Yan, Xiaojian
Li, Wenfeng
Xu, Yunsheng
Ou, Rongying
author_facet Zhao, Liang
Zhang, Zhechao
Lou, Hongyan
Liang, Jingjing
Yan, Xiaojian
Li, Wenfeng
Xu, Yunsheng
Ou, Rongying
author_sort Zhao, Liang
collection PubMed
description The molecular mechanisms of cervical cancer have been minimally explored with multi-omics data. In the present study, mRNA expression profiles were analyzed and combined with predicted miRNA interactions to contribute to the characterization of the underlying regulatory mechanisms of cervical cancer. A total of 92 significantly differentially expressed genes (DEGs) were identified in 33 tumor samples by comparison with 29 normal samples. mRNA-miRNA interaction network analysis revealed that 16 out of the 92 DEGs, including checkpoint kinase 1 (CHEK1), SRY-box 17 (SOX17), centrosomal protein 55, cyclin dependent kinase inhibitor 2A (CDKN2A), and inhibitor of DNA binding 4, were the targets of 4 miRNAs which were previously reported to be involved in the regulation of cervical cancer. Tumor and normal samples could be distinctly classified into two groups based on the expression of the 16 DEGs. Furthermore, survival analysis using the SurvExpress database indicated that the 16 DEGs could individually significantly differentiate low- and high-risk cervical cancer groups. Overall, multiple biological processes are likely to participate in the progression of cervical cancer based on the pathway and function enrichment identified for the DEGs. The dysregulation of SOX17 is associated with the regulation of embryonic development, the determination of cell fate and likely promotes cancer cell transformation. The dysregulation of CHEK1 and CDKN2A further promote cancer cell proliferation by affecting the cell cycle checkpoint in response to DNA damage. The identification of critical genes and biological processes associated with cervical cancer may be beneficial for the exploration of the molecular mechanisms.
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spelling pubmed-59587312018-05-27 Exploration of the molecular mechanisms of cervical cancer based on mRNA expression profiles and predicted microRNA interactions Zhao, Liang Zhang, Zhechao Lou, Hongyan Liang, Jingjing Yan, Xiaojian Li, Wenfeng Xu, Yunsheng Ou, Rongying Oncol Lett Articles The molecular mechanisms of cervical cancer have been minimally explored with multi-omics data. In the present study, mRNA expression profiles were analyzed and combined with predicted miRNA interactions to contribute to the characterization of the underlying regulatory mechanisms of cervical cancer. A total of 92 significantly differentially expressed genes (DEGs) were identified in 33 tumor samples by comparison with 29 normal samples. mRNA-miRNA interaction network analysis revealed that 16 out of the 92 DEGs, including checkpoint kinase 1 (CHEK1), SRY-box 17 (SOX17), centrosomal protein 55, cyclin dependent kinase inhibitor 2A (CDKN2A), and inhibitor of DNA binding 4, were the targets of 4 miRNAs which were previously reported to be involved in the regulation of cervical cancer. Tumor and normal samples could be distinctly classified into two groups based on the expression of the 16 DEGs. Furthermore, survival analysis using the SurvExpress database indicated that the 16 DEGs could individually significantly differentiate low- and high-risk cervical cancer groups. Overall, multiple biological processes are likely to participate in the progression of cervical cancer based on the pathway and function enrichment identified for the DEGs. The dysregulation of SOX17 is associated with the regulation of embryonic development, the determination of cell fate and likely promotes cancer cell transformation. The dysregulation of CHEK1 and CDKN2A further promote cancer cell proliferation by affecting the cell cycle checkpoint in response to DNA damage. The identification of critical genes and biological processes associated with cervical cancer may be beneficial for the exploration of the molecular mechanisms. D.A. Spandidos 2018-06 2018-04-13 /pmc/articles/PMC5958731/ /pubmed/29805632 http://dx.doi.org/10.3892/ol.2018.8494 Text en Copyright: © Zhao 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
Zhao, Liang
Zhang, Zhechao
Lou, Hongyan
Liang, Jingjing
Yan, Xiaojian
Li, Wenfeng
Xu, Yunsheng
Ou, Rongying
Exploration of the molecular mechanisms of cervical cancer based on mRNA expression profiles and predicted microRNA interactions
title Exploration of the molecular mechanisms of cervical cancer based on mRNA expression profiles and predicted microRNA interactions
title_full Exploration of the molecular mechanisms of cervical cancer based on mRNA expression profiles and predicted microRNA interactions
title_fullStr Exploration of the molecular mechanisms of cervical cancer based on mRNA expression profiles and predicted microRNA interactions
title_full_unstemmed Exploration of the molecular mechanisms of cervical cancer based on mRNA expression profiles and predicted microRNA interactions
title_short Exploration of the molecular mechanisms of cervical cancer based on mRNA expression profiles and predicted microRNA interactions
title_sort exploration of the molecular mechanisms of cervical cancer based on mrna expression profiles and predicted microrna interactions
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5958731/
https://www.ncbi.nlm.nih.gov/pubmed/29805632
http://dx.doi.org/10.3892/ol.2018.8494
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