{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Shen Y"],"funding":["National Natural Science Foundation of China"],"pagination":["48"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9044796"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["15(1)"],"pubmed_abstract":["<h4>Background</h4>Taxol resistance in serous ovarian cancer is responsible for its poor prognosis, yet the underlying mechanism is still poorly understood. Thus, we probed the mechanism of Taxol resistance in serous ovarian cancer with multiple bioinformatic methods to provide novel insights into potential therapies.<h4>Methods</h4>The differentially expressed genes (DEGs) in Taxol-sensitive and Taxol-resistant cell lines and their relationship with the overall survival (OS) and progression-free interval (PFI) of ovarian cancer patients were analyzed using gene expression datasets from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). The role of receptor interacting serine/threonine kinase 2 (RIPK2) was validated via identification of its coexpressed genes, functional ana"],"journal":["Journal of ovarian research"],"pubmed_title":["High expression of RIPK2 is associated with Taxol resistance in serous ovarian cancer."],"pmcid":["PMC9044796"],"funding_grant_id":["31005808A11 12"],"pubmed_authors":["Chen K","Ge W","Lu W","Lin H","Shen Y","Xia D","Wu Y"],"additional_accession":[]},"is_claimable":false,"name":"High expression of RIPK2 is associated with Taxol resistance in serous ovarian cancer.","description":"<h4>Background</h4>Taxol resistance in serous ovarian cancer is responsible for its poor prognosis, yet the underlying mechanism is still poorly understood. Thus, we probed the mechanism of Taxol resistance in serous ovarian cancer with multiple bioinformatic methods to provide novel insights into potential therapies.<h4>Methods</h4>The differentially expressed genes (DEGs) in Taxol-sensitive and Taxol-resistant cell lines and their relationship with the overall survival (OS) and progression-free interval (PFI) of ovarian cancer patients were analyzed using gene expression datasets from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). The role of receptor interacting serine/threonine kinase 2 (RIPK2) was validated via identification of its coexpressed genes, functional ana","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Apr","modification":"2026-05-10T01:34:58.88Z","creation":"2025-02-19T04:10:21.94Z"},"accession":"S-EPMC9044796","cross_references":{"pubmed":["35477477"],"doi":["10.1186/s13048-022-00986-2"]}}