Background: Cuproptosis and lncRNAs are the current research hotpots,which had been verified to play a major role in the occurrence and development of tumors.Nevertheless, the effects of cuproptosis-related lncRNAs on EC remain unclear.This study is intended to identify cuproptosis-related lncRNAs to predict their prognostic role and immune landscape in EC.
Methods: Transcriptome profiling data and clinical data from EC patients were available from the TCGA database.A risk prognostic model of cuproptosis-related lncRNAs was constructed by co-expression, univalent analysis, LASSO analysis and multivariate analysis.Supported by the risk score and clinical characteristics, we subsequently developed a mixed nomogram. Finally,We performed immune microenvironment analysis taken into account this signature.
Results: 297 cuproptosis-related lncRNAs were obtained as a result of co-expression.The Cox model revealed and constructed three cuproptosis-related lncRNAs prognostic models,including RP11_258C19.7, RP11_408E5.5, RP11_796E10.Patients were subdivided into high-risk and low-risk groups. The Kaplan-Meier survival curve and receiver operating characteristic curve revealed that the model had accurate predictive ability.Univalent and multivariate Cox analysis showed that the risk score was just an independent prognostic factor. Most notably, patients with higher risk scores had higher TMB score and lower TIDE score, suggesting that these patients showed a better response to immunotherapy.
Conclusion: A prognostic feature model based on cuproptosis-related lncRNAs has the potential to be laid down the survival, immune environment and immunotherapy efficacy of EC, which is helpful for clinical prediction and individualized treatment.