铜中毒在癌症中发挥重要作用，但其在肺癌中的作用仍不清楚。通过多种方法从癌症基因组图谱数据库获取转录谱、临床细节和突变数据。使用 R 软件及其相关软件包对这些公开数据进行了全面分析，确保对信息进行彻底检查。在本研究中，我们对铜凋亡相关基因和lncRNA共表达进行了详细分析，鉴定了129个相关lncRNA，并用四个关键lncRNA（LINC00996、RPARP-AS1、SND1-IT1、TMPO-AS1）建立了预后模型。该模型利用 TCGA 和 GEO 数据库的数据，有效地将患者分为高风险组和低风险组，显示出显着的生存差异。相关性分析强调了个体 lncRNA 和铜凋亡基因之间的特定关系。我们的生存分析表明，各个队列中低风险组的生存率较高。此外，该模型的预测准确性通过独立的预后分析和 ROC 曲线评估得到了证实。功能富集分析揭示了危险人群之间不同的生物学途径和免疫功能。肿瘤突变负荷分析通过突变谱区分高风险组和低风险组。使用 CIBERSORT 算法进行的药物敏感性分析和免疫浸润研究进一步阐明了不同风险组的潜在治疗反应。这项综合评估强调了 lncRNA 在铜凋亡中的重要性及其作为肺癌预后和免疫微环境生物标志物的潜力。© 2024 作者。细胞与分子医学基金会和约翰·威利出版的《细胞与分子医学杂志》

Cuproptosis plays an important role in cancer, but its role in lung cancer remains unknown. Transcriptional profiles, clinical details and mutation data were acquired from the Cancer Genome Atlas database through a variety of methods. The analysis of this publicly available data was comprehensively performed using R software along with its relevant packages, ensuring a thorough examination of the information. In this study, we conducted a detailed analysis of cuproptosis-related genes and lncRNA co-expression, identifying 129 relevant lncRNAs and establishing a prognostic model with four key lncRNAs (LINC00996, RPARP-AS1, SND1-IT1, TMPO-AS1). Utilizing data from TCGA and GEO databases, the model effectively categorized patients into high- and low-risk groups, showing significant survival differences. Correlation analysis highlighted specific relationships between individual lncRNAs and cuproptosis genes. Our survival analysis indicated a higher survival rate in the low-risk group across various cohorts. Additionally, the model's predictive accuracy was confirmed through independent prognostic analysis and ROC curve evaluations. Functional enrichment analysis revealed distinct biological pathways and immune functions between risk groups. Tumour mutation load analysis differentiated high- and low-risk groups by their mutation profiles. Drug sensitivity analysis and immune infiltration studies using the CIBERSORT algorithm further elucidated the potential treatment responses in different risk groups. This comprehensive evaluation underscores the significance of lncRNAs in cuproptosis and their potential as biomarkers for lung cancer prognosis and immune microenvironment.© 2024 The Author(s). Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd.