内质网应激（ERs）是一种重要的细胞自卫机制，与肿瘤发生和发展密切相关。然而，内质网应激状态在肺腺癌（LUAD）发展中的作用尚未明确。我们通过公共数据库的共表达分析、最小绝对收缩和选择操作（LASSO）回归和多变量Cox回归建模，确定了与内质网应激相关的长链非编码RNA（ERs相关lncRNAs）。基于 ERs 相关 lncRNAs，我们构建了一个预后模型，进行免疫分析、TME、TMB 和临床药物预测，对模型相关的风险评分进行验证，并在公共数据库和人体组织水平进行相关验证。我们选择了五个 ERs 相关 lncRNAs 构建了一个 ERs 相关 lncRNA 签名（ERs-related LncSig），该签名可以预测 LUAD 的预后。高风险组患者的生存率较差，并且高风险组与低风险组之间在免疫细胞浸润、免疫功能、免疫检查点分析、肿瘤微环境（TME）、肿瘤突变负荷（TMB）、免疫治疗效果及对常用化疗药物的敏感性方面存在差异。我们的研究表明，ERs相关lncRNA签名可用于LUAD患者的预后评估，并为LUAD的临床决策和个体化治疗提供新的见解。

Endoplasmic reticulum stress (ERs) is an important cellular self-defence mechanism, which is closely related to tumorigenesis and development. However, the role of endoplasmic reticulum stress state in the development of lung adenocarcinoma (LUAD) has not been clarified.The lncRNAs associated with endoplasmic reticulum stress were identified by co-expression analysis in public databases, and by the least absolute shrinkage and selection operator (LASSO) regression and multivariate Cox regression modelling, we constructed a prognostic model based on endoplasmic reticulum stress-related lncRNAs (ERs-related lncRNAs), performed immune analysis, TME, TMB and clinical drug prediction for model-related risk scores, and performed correlation validation in public databases and at the human tissue level.Five ERs-related lncRNAs were used to construct an ERs-related lncRNA signature (ERs-related LncSig), which can predict the prognosis of LUAD. Patients in the high-risk group had worse survival, and differences existed in immune cell infiltration, immune function, immune checkpoint analysis, tumour microenvironment (TME), tumour mutational burden (TMB), immunotherapy efficacy, and sensitivity to some commonly used chemotherapeutic agents between high and low risk groups.Our study demonstrated that ERs-related lncRNA signature can be used for the prognostic evaluation of LUAD patients and may provide new insights into clinical decision-making and personalised medicine for LUAD.