Aim. The aim of this study is to identify cuproptosis-related lncRNAs and construct a prognostic model for pancreatic cancer patients for clinical use. Methods. The expression profile of lncRNAs was downloaded from The Cancer Genome Atlas database, and cuproptosis-related lncRNAs were identified. The prognostic cuproptosis-related lncRNAs were obtained and used to establish and validate a prognostic risk score model in pancreatic cancer. Results. In total, 181 cuproptosis-related lncRNAs were obtained. The prognostic risk score model was constructed based on five lncRNAs (AC025257.1, TRAM2-AS1, AC091057.1, LINC01963, and MALAT1). Patients were assigned to two groups according to the median risk score. Kaplan–Meier survival curves showed that the difference in the prognosis between the high- and low-risk groups was statistically significant. Multivariate Cox analysis showed that our risk score was an independent risk factor for pancreatic cancer patients. Receiver operator characteristic curves revealed that the cuproptosis-related lncRNA model can effectively predict the prognosis of pancreatic cancer. The principal component analysis showed a difference between the high- and low-risk groups intuitively. Functional enrichment analysis showed that different genes were involved in cancer-related pathways in patients in the high- and low-risk groups. Conclusion. The risk model based on five prognostic cuproptosis-related lncRNAs can well predict the prognosis of pancreatic cancer patients. Cuproptosis-related lncRNAs could be potential biomarkers for pancreatic cancer diagnosis and treatment.

中文翻译：

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基于胰腺癌铜脱垂相关 lncRNA 特征的预后模型构建

瞄准。本研究的目的是鉴定与铜细胞凋亡相关的 lncRNA，并构建胰腺癌患者的预后模型以供临床使用。方法。从癌症基因组图谱数据库下载 lncRNA 的表达谱，并鉴定了与铜凋亡相关的 lncRNA。获得了与预后相关的铜细胞凋亡相关的 lncRNA，并用于建立和验证胰腺癌的预后风险评分模型。结果. 总共获得了 181 个与铜凋亡相关的 lncRNA。预后风险评分模型基于五个 lncRNA（AC025257.1、TRAM2-AS1、AC091057.1、LINC01963 和 MALAT1）构建。根据中位风险评分将患者分配到两组。Kaplan-Meier 生存曲线显示高危组和低危组之间的预后差异具有统计学意义。多变量 Cox 分析表明，我们的风险评分是胰腺癌患者的独立危险因素。受试者工作特征曲线表明，铜凋亡相关的lncRNA模型可以有效预测胰腺癌的预后。主成分分析直观地显示了高风险组和低风险组之间的差异。结论。基于5个预后铜细胞凋亡相关lncRNA的风险模型可以很好地预测胰腺癌患者的预后。Cuproptosis 相关的 lncRNA 可能是胰腺癌诊断和治疗的潜在生物标志物。