biostudies-literatureUnknown17(2)Zheng MBackground/Objectives: 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). Methods: 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, RIPK3, was analyzed via immunohistochemistry in an EOC cohort. Results: An RS made from ten genes (IDH2, RIPK3, FASLG, BRAF, ITPK1, TNFSF10, <iCancers271https://www.ebi.ac.uk/biostudies/studies/S-EPMC11763378biostudies-literatureNecroptosis-Related Gene Signature Predicts Prognosis in Patients with Advanced Ovarian Cancer.PMC11763378Schroeder LKessler MKeckstein SCzogalla BZheng MReichenbach JMahner SKaltofen TJeschke UBurges ATrillsch FfalseNecroptosis-Related Gene Signature Predicts Prognosis in Patients with Advanced Ovarian Cancer.Background/Objectives: 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). Methods: 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, RIPK3, was analyzed via immunohistochemistry in an EOC cohort. Results: An RS made from ten genes (IDH2, RIPK3, FASLG, BRAF, ITPK1, TNFSF10, <i2025-01-01T00:00:00Z2025 Jan2026-04-18T03:12:16.429Z2025-04-03T23:22:44.987ZS-EPMC117633783985805210.3390/cancers17020271