<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>28</volume><submitter>Wang D</submitter><pubmed_abstract>BACKGROUND Cervical cancer is one of the common gynecological tumors that seriously harm women's health, so it is particularly important to accurately explore the underlying mechanism of its occurrence and clinical prognosis. MATERIAL AND METHODS In the GEO database, GEO2R was used to analyze the differentially expressed genes from the 4 databases: GSE6791, GSE9750, GSE63514, and GSE67522. Then, the DAVID website was used to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. These protein-protein interaction (PPI) networks of DEGS were visualized and analyzed using the STRING website and the hub genes were further screened using the Cytohubba plugin. Lastly, the functions of the hub genes were further analyzed by Gene Expression Profiling Interactive An</pubmed_abstract><journal>Medical science monitor : international medical journal of experimental and clinical research</journal><pagination>e934799</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9020271</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Identification of Novel Genes and Associated Drugs in Cervical Cancer by Bioinformatics Methods.</pubmed_title><pmcid>PMC9020271</pmcid><pubmed_authors>Cheng S</pubmed_authors><pubmed_authors>Liu Y</pubmed_authors><pubmed_authors>Wang D</pubmed_authors><pubmed_authors>Liu G</pubmed_authors></additional><is_claimable>false</is_claimable><name>Identification of Novel Genes and Associated Drugs in Cervical Cancer by Bioinformatics Methods.</name><description>BACKGROUND Cervical cancer is one of the common gynecological tumors that seriously harm women's health, so it is particularly important to accurately explore the underlying mechanism of its occurrence and clinical prognosis. MATERIAL AND METHODS In the GEO database, GEO2R was used to analyze the differentially expressed genes from the 4 databases: GSE6791, GSE9750, GSE63514, and GSE67522. Then, the DAVID website was used to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. These protein-protein interaction (PPI) networks of DEGS were visualized and analyzed using the STRING website and the hub genes were further screened using the Cytohubba plugin. Lastly, the functions of the hub genes were further analyzed by Gene Expression Profiling Interactive An</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Apr</publication><modification>2025-04-26T13:02:08.754Z</modification><creation>2025-04-06T14:07:26.328Z</creation></dates><accession>S-EPMC9020271</accession><cross_references><pubmed>35428744</pubmed><doi>10.12659/MSM.934799</doi></cross_references></HashMap>