biostudies-literatureUnknown16(1)Feng J<h4>Background</h4>Both immune-reaction and lncRNAs play significant roles in the proliferation, invasion, and metastasis of ovarian cancer (OC). In this study, we aimed to construct an immune-related lncRNA risk model for patients with OC.<h4>Method</h4>Single sample GSEA (ssGSEA) algorithm was used to analyze the proportion of immune cells in The Cancer Genome Atlas (TCGA) and the hclust algorithm was used to conduct immune typing according to the proportion of immune cells for OC patients. The stromal and immune scores were computed utilizing the ESTIMATE algorithm. Weighted gene co-expression network analysis (WGCNA) and differentially expressed genes (DEGs) analyses were utilized to detect immune cluster-related lncRNAs. The least absolute shrinkage and selection operator (LASSO) regrJournal of ovarian research31https://www.ebi.ac.uk/biostudies/studies/S-EPMC9898952biostudies-literatureDevelopment and verification of a 7-lncRNA prognostic model based on tumor immunity for patients with ovarian cancer.PMC9898952Yin WFeng JQian SYu YfalseDevelopment and verification of a 7-lncRNA prognostic model based on tumor immunity for patients with ovarian cancer.<h4>Background</h4>Both immune-reaction and lncRNAs play significant roles in the proliferation, invasion, and metastasis of ovarian cancer (OC). In this study, we aimed to construct an immune-related lncRNA risk model for patients with OC.<h4>Method</h4>Single sample GSEA (ssGSEA) algorithm was used to analyze the proportion of immune cells in The Cancer Genome Atlas (TCGA) and the hclust algorithm was used to conduct immune typing according to the proportion of immune cells for OC patients. The stromal and immune scores were computed utilizing the ESTIMATE algorithm. Weighted gene co-expression network analysis (WGCNA) and differentially expressed genes (DEGs) analyses were utilized to detect immune cluster-related lncRNAs. The least absolute shrinkage and selection operator (LASSO) regr2023-01-01T00:00:00Z2023 Feb2026-07-14T22:30:59.71Z2025-02-19T00:13:48.221ZS-EPMC98989523673940410.1186/s13048-023-01099-0