Ontology highlight
ABSTRACT: Introduction
Gastric cancer (GC) remains a leading cause of cancer mortality, necessitating robust prognostic biomarkers and personalized therapeutic strategies.Materials and methods
We developed a risk model integrating three cell-in-cell-associated lncRNAs (CICRlncRNAs: AP003392.1, AP000695.2, AL161785.1) using transcriptomic data from 367 TCGA-GC patients. The cohort was randomly split into training (n = 184) and test sets (n = 183) for model construction and external validation. Statistical rigor included LASSO-Cox regression, Kaplan-Meier analysis, and ROC curves assessing 1/3/5-year AUC.Results
The model stratified patients into low- and high-risk groups with distinct overall survival (OS, HR = 2.62, P <0.001) and progression-free survival (PFS, HR = 1.
SUBMITTER: Lin J
PROVIDER: S-EPMC12280372 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature