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pmid:33402836
Bioinformatics Analysis of Key Genes and Pathways of Cervical Cancer.
Huan Chen · Xi Wang · Huanhuan Jia · Yin Tao · Hong Zhou · Mingyuan Wang · Xin Wang · Xiaoling Fang
OncoTargets and therapy · 2020 doi:10.2147/OTT.S281533
Paper
complete
Experiment
complete
Data
partial
Analysis
partial
Execution
absent
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Complete file
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Therefore, the purpose of this study is to find new genes that can be used as potential biomarkers for the prognosis of CC.\nMETHODS 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. 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