Literature DB >> 31041817

Identification of EPHX2 and RMI2 as two novel key genes in cervical squamous cell carcinoma by an integrated bioinformatic analysis.

Jinhui Liu1, Sipei Nie1, Mei Gao2, Yi Jiang1, Yicong Wan1, Xiaoling Ma1, Shulin Zhou1, Wenjun Cheng1.   

Abstract

Cervical cancer is the fourth most common malignancy in women worldwide and cervical squamous cell carcinoma (CESC) is the most common histological type of cervical cancer. The dysregulation of genes plays a significant role in cancer. In the present study, we screened out differentially expressed genes (DEGs) of CESC in the GSE63514 data set from the Gene Expression Omnibus database. An integrated bioinformatics analysis was used to select hub genes, as well as to investigate their related prognostic signature, functional annotation, methylation mechanism, and candidate molecular drugs. As a result, a total of 1907 DEGs were identified (944 were upregulated and 963 were downregulated). In the protein-protein interaction network, three hub modules and 30 hub genes were identified. And two hub modules and 116 hub genes were screened out from four CESC-related modules by the weighted gene coexpression network analysis. The gene ontology term enrichment analysis and Kyoto encyclopedia of genes and genomes pathway analysis were performed to better understand functions and pathways. Genes with a significant prognostic value were found by prognostic signature analysis. And there were five genes (EPHX2, CHAF1B, KIAA1524, CDC45, and RMI2) identified as significant CESC-associated genes after expression validation and survival analysis. Among them, EPHX2 and RMI2 were noted as two novel key genes for the CESC-associated methylation and expression. In addition, four candidate small molecule drugs for CESC (camptothecin, resveratrol, vorinostat, and trichostatin A) were defined. Further studies are required to explore these significant CESC-associated genes for their potentiality in diagnosis, prognosis, and targeted therapy.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  bioinformatics analysis; cervical squamous cell carcinoma (CESC); differentially expressed genes (DEGs); prognosis; weighted gene coexpression network analysis (WGCNA)

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Year:  2019        PMID: 31041817     DOI: 10.1002/jcp.28731

Source DB:  PubMed          Journal:  J Cell Physiol        ISSN: 0021-9541            Impact factor:   6.384


  12 in total

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2.  Identifying a cervical cancer survival signature based on mRNA expression and genome-wide copy number variations.

Authors:  Nan Li; Kai Yu; Zhong Lin; Dingyuan Zeng
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4.  Comprehensive analysis of prognostic alternative splicing signature in cervical cancer.

Authors:  Dong Ouyang; Ping Yang; Jing Cai; Si Sun; Zehua Wang
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5.  Identification of Hub Genes as Potential Prognostic Biomarkers in Cervical Cancer Using Comprehensive Bioinformatics Analysis and Validation Studies.

Authors:  Han Xue; Zhaojun Sun; Weiqing Wu; Dong Du; Shuping Liao
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Journal:  Technol Cancer Res Treat       Date:  2021 Jan-Dec

7.  Heterogeneous miRNA-mRNA Regulatory Networks of Visceral and Subcutaneous Adipose Tissue in the Relationship Between Obesity and Renal Clear Cell Carcinoma.

Authors:  Yuyan Liu; Yang Liu; Jiajin Hu; Zhenwei He; Lei Liu; Yanan Ma; Deliang Wen
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8.  Bioinformatics Screening of Potential Biomarkers from mRNA Expression Profiles to Discover Drug Targets and Agents for Cervical Cancer.

Authors:  Md Selim Reza; Md Harun-Or-Roshid; Md Ariful Islam; Md Alim Hossen; Md Tofazzal Hossain; Shengzhong Feng; Wenhui Xi; Md Nurul Haque Mollah; Yanjie Wei
Journal:  Int J Mol Sci       Date:  2022-04-02       Impact factor: 5.923

9.  Bioinformatics analysis of differentially expressed genes and pathways in the development of cervical cancer.

Authors:  Baojie Wu; Shuyi Xi
Journal:  BMC Cancer       Date:  2021-06-26       Impact factor: 4.430

10.  RPL19 Is a Prognostic Biomarker and Promotes Tumor Progression in Hepatocellular Carcinoma.

Authors:  Benchen Rao; Jianhao Li; Tong Ren; Jing Yang; Guizhen Zhang; Liwen Liu; Haiyu Wang; Maoxin Huang; Zhigang Ren; Zujiang Yu
Journal:  Front Cell Dev Biol       Date:  2021-07-19
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