TCGA-LUAD patients were divided into low- and high-risk groups using the median risk score as the cut-off. Kaplan-Meier survival was applied to evaluate the differences in overall survival (OS) between the low- and high-risk patients. Univariate and multivariate Cox regression analyses were used to investigate whether the risk model based on identified cuproptosis-related lncRNAs was an independent risk factor considering other clinical signatures (age, gender, and stage) in LUAD patients. A predictive nomogram was developed using the R package ‘rms’. The calibration curve and time-dependent receiver operating characteristic curve (ROC) were used to evaluate the predictive ability of the model. Principal component analysis (PCA) was performed to evaluate the grouping ability of the whole genome, cuproptosis genes, all CuRLs, and the identified 10-CuRLs signature.