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Gao C, Zhou C, Zhuang J, Liu L, Liu C, Li H, Liu G, Wei J, Sun C. MicroRNA expression in cervical cancer: Novel diagnostic and prognostic biomarkers. J Cell Biochem 2018; 119:7080-7090. [PMID: 29737570 DOI: 10.1002/jcb.27029] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2018] [Accepted: 04/06/2018] [Indexed: 12/31/2022]
Abstract
Growing evidence has shown that a large number of miRNAs are abnormally expressed in cervical cancer (CC) tissues and play irreplaceable roles in tumorigenesis, progression, and metastasis. This study aimed to identify new biomarkers and pivotal genes associated with CC prognosis through comprehensive bioinformatics analysis. At first, the data of gene expression microarray (GSE30656) was downloaded from GEO database and differential miRNAs were obtained. Additionally, 4 miRNAs associated with the survival time of patients with CC were screened through TCGA differential data analysis, Kaplan-Meier, and Landmark analysis. Among them, the low expression of miR-188 and high expression of miR-223 correlated with the short survival of CC patients, while the down-regulation of miR-99a and miR-125b was closely related to the 5-year survival rate of patients. Then, based on the correspondence between the differentially expressed genes (DEGs) in CC from the TCGA data and the 4 miRNAs target genes, 58 target genes were screened to perform the analysis of function enrichment and the visualization of protein-protein interaction (PPI) networks. The seven pivotal genes of the PPI network as the target genes of four miRNAs related to prognosis, they were directly or indirectly involved in the development of CC. In this study, based on high-throughput data mining, differentially expressed miRNAs and related target genes were analyzed to provide an effective bioinformatics basis for further understanding of the pathogenesis and prognosis of CC. And the results may be a promising biomarker for the early screening of high-risk populations and early diagnosis of cervical cancer.
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Affiliation(s)
- Chundi Gao
- College of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, P. R. China
| | - Chao Zhou
- Departmen of Oncology, Weifang Traditional Chinese Hospital, Weifang, Shandong, P. R. China.,Department of Oncology, Affiliated Hospital of Weifang Medical University, Weifang, Shandong, P. R. China
| | - Jing Zhuang
- Departmen of Oncology, Weifang Traditional Chinese Hospital, Weifang, Shandong, P. R. China.,Department of Oncology, Affiliated Hospital of Weifang Medical University, Weifang, Shandong, P. R. China
| | - Lijuan Liu
- Departmen of Oncology, Weifang Traditional Chinese Hospital, Weifang, Shandong, P. R. China.,Department of Oncology, Affiliated Hospital of Weifang Medical University, Weifang, Shandong, P. R. China
| | - Cun Liu
- College of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, P. R. China
| | - Huayao Li
- College of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, P. R. China
| | - Gongxi Liu
- Departmen of Oncology, Weifang Traditional Chinese Hospital, Weifang, Shandong, P. R. China.,Department of Oncology, Affiliated Hospital of Weifang Medical University, Weifang, Shandong, P. R. China
| | - Junyu Wei
- Departmen of Oncology, Weifang Traditional Chinese Hospital, Weifang, Shandong, P. R. China.,Department of Oncology, Affiliated Hospital of Weifang Medical University, Weifang, Shandong, P. R. China
| | - Changgang Sun
- Department of Oncology, Affiliated Hospital of Weifang Medical University, Weifang, Shandong, P. R. China
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