应作者的要求，癌症管理与研究期刊的主编决定撤回此文章。

Background: Ovarian cancer is the major cause of death from cancer among females worldwide. Ovarian clear cell carcinoma (OCCC) is considered a distinct histopathologic subtype with worse prognosis and resistance to conventional chemotherapy.
Materials and methods: We analyzed five microarray datasets derived from the Gene Expression Omnibus database. GEO2R tool was used to screen out differentially expressed genes (DEGs) between OCCC tumor and normal ovary tissue. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were performed using the g:Profiler database and Cytoscape. Based on Search Tool for the Retrieval of Interacting Genes, we performed protein–protein interaction (PPI) network analysis on the DEGs. Real-time PCR (RT-PCR) and Western blotting in frozen samples of normal ovary and OCCC were performed to verify the expression difference of hub genes in OCCC patients.
Results: Thirty upregulated DEGs and 13 downregulated DEGs were identified by cross referencing. Six were chosen as hub genes with high connectivity degree via PPI network analysis, including two upregulated and four downregulated. RT-PCR and Western blotting results showed significant expression difference of the two upregulated genes, SPP1  and EPCAM , between tumor and normal tissues.
Conclusion: Our research suggests that SPP1  and EPCAM  are overexpressed in OCCC compared with normal ovary tissue. Clinical study of large sample is required to evaluate the value of SPP1  and EPCAM  in the precision treatment and prognostic influence on OCCC in the future.
Keywords: ovarian clear cell carcinoma, differentially expressed genes, SPP1 , EPCAM