Identification of key genes and pathways of diagnosis and prognosis in cervical cancer by bioinformatics analysis.

ABSTRACT:

Background

Cervical cancer as one of the most common malignant tumors lead to bad prognosis among women. Some researches already focus on the carcinogenesis and pathogenesis of cervical cancer, but it is still necessary to identify more key genes and pathways.

Methods

Differentially expressed genes were identified by GEO2R from the gene expression omnibus (GEO) website, then gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyzed by DAVID. Meanwhile, protein-protein interaction network was constructed by STRING, and both key genes and modules were found in visualizing network through Cytoscape. Besides, GEPIA did the differential expression of key genes and survival analysis. Finally, the expression of genes related to prognosis was further

SUBMITTER: Yang HJ 

PROVIDER: S-EPMC7284022 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature