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Bioinformatics analysis of differentially expressed genes and pathways in the development of cervical cancer

26 Jun 2021

Abstract excerpt

BACKGROUND: This study aimed to explore and identify key genes and signaling pathways that contribute to the progression of cervical cancer to improve prognosis. METHODS: Three gene expression profiles (GSE63514, GSE64217 and GSE138080) were screened and downloaded from the Gene Expression Omnibus database (GEO). Differentially expressed genes (DEGs) were screened using the GEO2R and Venn diagram tools. Then,...

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PMID: 34174849
DOI: 10.1186/s12885-021-08412-4

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