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Dataset Information

Bioinformatics Analysis of Key Genes and Pathways of Cervical Cancer.


ABSTRACT:

Background 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 differe

SUBMITTER: Chen H 

PROVIDER: S-EPMC7778384 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature