Estrogen receptor 1 and Aurora kinase A as potential diagnostic biomarkers for cervical cancer

Cervical cancer (CC) is the fourth most common cause of death among women globally. Nearly 90% CC mortality occurs in low- and middle-income countries. Hence there an urgent need for identification new biomarkers early diagnosis treatment CC. Current research aims to investigate effect mechanism estrogen receptor 1 aurora kinase A as potential diagnostic cervical cancer. Gene microarray datasets GSE8703 GSE9750 were acquired from Set Omnibus evaluated using GEO2R identify differentially expressed genes. Ontology (GO) Kyoto Encyclopedia Genes Genomes (KEGG) pathway enrichment analyses genes performed clusterProfiler R package. protein-protein interaction (PPI) network was constructed Search Tool Retrieval Interacting Genes/Proteins (STRING) visualized Cytoscape; hub screened cytoHubba plug-in. Receiver operating characteristic curve survival analysis candidate Expression Profiling Interactive Analysis Database. The University California, Santa Cruz, (UCSC)-XENA platform used analyze pan-cancer biomarker expression. relative expression normal tissues determined Human Protein Atlas Estrogen (ESR1) Aurora (AURKA) identified ESR1 actively but limited tissues. AURKA least highly results confirmed by immunohistochemistry. herein can enable serve therapeutic targets