Bioinformatics Analysis of Key Genes and Pathways of Cervical Cancer

• Main Authors: Chen H, Wang X, Jia H, Tao Y, Zhou H, Wang M, Fang X
• Format: Article
• Language: English
• Published: Dove Medical Press 2020-12-01
• Series: OncoTargets and Therapy
• Subjects: cervical cancer; bioinformatics analysis; differentially expressed gene; pathways; kntc1
• Online Access: https://www.dovepress.com/bioinformatics-analysis-of-key-genes-and-pathways-of-cervical-cancer-peer-reviewed-article-OTT

Huan Chen,1 Xi Wang,1 Huanhuan Jia,2 Yin Tao,3 Hong Zhou,3 Mingyuan Wang,4 Xin Wang,1 Xiaoling Fang1 1Department of Obstetrics and Gynecology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, People’s Republic of China; 2Guangdong Laboratory Animals Monitoring Institute, Guangdong Key Laboratory of Laboratory Animals, Guangzhou, Guangdong 510663, People’s Republic of China; 3Department of Obstetrics and Gynecology, Zhu Zhou Hospital Affiliated to Xiangya School of Medicine, CSU, Zhuzhou, Hunan 412007, People’s Republic of China; 4Department of Pathophysiology, School of Basic Medical Science, Central South University, Changsha, Hunan, 410013, People’s Republic of ChinaCorrespondence: Xiaoling Fang Tel [phone]Email [e-mail] and Objective: Globally, cervical cancer (CC) is the fourth most common cancer affecting women. Although effective screening reduces its incidence, it remains one of the most serious cancers threatening the health of women. Therefore, the purpose of this study is to find new genes that can be used as potential biomarkers for the prognosis of CC.Methods and Results: After downloading three datasets such as GSE6791, GSE63678, and GSE63514 from the Gene Expression Omnibus (GEO), we combined the expression matrixes and analyzed them to obtain the differential expressed genes (DEGs). Next, using the STRING website, we performed the protein interaction network analysis. Subsequently, hub genes were screened using the R and Cytoscape software. Then, the expression difference and survival analyses of the hub genes were confirmed using GIPIA. Here, we established that the KNTC1 gene was correlated to the overall survival prognosis of CC. Besides, the expression of the KNTC1 gene in the GSE63514 dataset was significantly different from that of the normal cervix, cervical pre-cancerous lesions, and CC. Consequently, immunohistochemistry analysis showed that the results have a definite diagnostic value.Conclusion: The KNTC1 gene could be linked with the pathophysiology of CC and maybe one of the early diagnostic markers for the diagnosis of cervical pre-cancerous lesions.Keywords: cervical cancer, bioinformatics analysis, differentially expressed gene, pathways, KNTC1