2020
DOI: 10.21203/rs.3.rs-20327/v1
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Screening and identification of key biomarkers and related transcription factors in ovarian cancer by integrated bioinformatics analysis

Abstract: Background Ovarian tumors are the most malignant tumors of all gynecological tumors, and although multiple efforts have been made to elucidate the pathogenesis, the molecular mechanisms of ovarian cancer remain unclear. Methods In this study, we used bioinformatics to identify genes involved in the carcinogenesis and progression of ovarian cancer. Three microarray datasets (GSE14407, GSE29450, and GSE54388) were downloaded from Gene Expression Omnibus (GEO) database, and differentially expressed genes (DEGs) w… Show more

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References 26 publications
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