Assessment of lncRNA biomarkers based on NETs for prognosis and therapeutic response in ovarian cancer.

ABSTRACT: Ovarian cancer (OC) usually progresses rapidly and is associated with high mortality, while a reliable clinical factor for OC patients to predict prognosis is currently lacking. Recently, the pathogenic role of neutrophils releasing neutrophil extracellular traps (NETs) in various cancers including OC has gradually been recognized. The study objective was to determine whether NETs-related biomarkers can be used to accurately predict the prognosis and guide clinical decision-making in OC. In this study, we utilized univariate and multivariate Cox regression to identify key prognostic features and developed a model with six NETs-related lncRNAs, selected via LASSO regression. The model's predictive capability was assessed through Kaplan-Meier, ROC, and Cox analyses. To understand the model's

SUBMITTER: Wang J 

PROVIDER: S-EPMC12000398 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature