{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["17(2)"],"submitter":["Zheng M"],"pubmed_abstract":["<b>Background/Objectives:</b> This study aimed to construct a risk score (RS) based on necroptosis-associated genes to predict the prognosis of patients with advanced epithelial ovarian cancer (EOC). <b>Methods:</b> EOC data from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) series 140082 (GSE140082) were used. Based on known necroptosis-associated genes, clustering was performed to identify molecular subtypes of EOC. A least absolute shrinkage and selection operator (LASSO)-Cox regression analysis identified key genes related to prognosis. The expression of one of them, <i>RIPK3</i>, was analyzed via immunohistochemistry in an EOC cohort. <b>Results:</b> An RS made from ten genes (<i>IDH2</i>, <i>RIPK3</i>, <i>FASLG</i>, <i>BRAF</i>, <i>ITPK1</i>, <i>TNFSF10</i>, <i"],"journal":["Cancers"],"pagination":["271"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11763378"],"repository":["biostudies-literature"],"pubmed_title":["Necroptosis-Related Gene Signature Predicts Prognosis in Patients with Advanced Ovarian Cancer."],"pmcid":["PMC11763378"],"pubmed_authors":["Schroeder L","Kessler M","Keckstein S","Czogalla B","Zheng M","Reichenbach J","Mahner S","Kaltofen T","Jeschke U","Burges A","Trillsch F"],"additional_accession":[]},"is_claimable":false,"name":"Necroptosis-Related Gene Signature Predicts Prognosis in Patients with Advanced Ovarian Cancer.","description":"<b>Background/Objectives:</b> This study aimed to construct a risk score (RS) based on necroptosis-associated genes to predict the prognosis of patients with advanced epithelial ovarian cancer (EOC). <b>Methods:</b> EOC data from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) series 140082 (GSE140082) were used. Based on known necroptosis-associated genes, clustering was performed to identify molecular subtypes of EOC. A least absolute shrinkage and selection operator (LASSO)-Cox regression analysis identified key genes related to prognosis. The expression of one of them, <i>RIPK3</i>, was analyzed via immunohistochemistry in an EOC cohort. <b>Results:</b> An RS made from ten genes (<i>IDH2</i>, <i>RIPK3</i>, <i>FASLG</i>, <i>BRAF</i>, <i>ITPK1</i>, <i>TNFSF10</i>, <i","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Jan","modification":"2026-04-18T03:12:16.429Z","creation":"2025-04-03T23:22:44.987Z"},"accession":"S-EPMC11763378","cross_references":{"pubmed":["39858052"],"doi":["10.3390/cancers17020271"]}}