线粒体自噬和衰老（MiAg）是促进肿瘤发生的非常重要的病理生理机制。MiAg相关基因在肺腺癌（LUAD）中具有预后价值。然而，缺乏MiAg相关基因在LUAD中的预后和免疫相关研究。从公开测序数据集中获得LUAD中的MiAg差异表达基因（DEGs）。根据将患者分为低风险组和高风险组，构建了包括MiAg DEGs的预后模型。对MiAg与LUAD患者预后的功能注释和相关性进行了基因本体论、基因集富集分析、基因集变异分析、CIBERSORT免疫浸润分析和临床特征相关分析。鉴定出7个LUAD的MiAg DEGs，即CAV1、DSG2、DSP、MYH11、NME1、PAICS、PLOD2，并发现这些基因的表达水平显著相关（P < 0.05）。MiAg DEG预后模型的RiskScore显示出对LUAD患者的总生存有很高的预测能力。MiAg表型得分高低的患者在8种类型的免疫细胞浸润水平上存在显著差异（P < 0.05）。多因素DEG回归模型显示在预测LUAD患者的5年生存率方面具有更高的效力，而不是3年和1年生存率。鉴定出与LUAD患者预后显著相关的7个MiAg相关基因。此外，这些识别出的MiAg DEGs可能会影响LUAD患者的免疫治疗策略。© 2023. 作者（们）授予Springer-Verlag GmbH Germany独家许可，该公司是Springer Nature的一部分。

Mitophagy and aging (MiAg) are very important pathophysiological mechanisms contributing to tumorigenesis. MiAg-related genes have prognostic value in lung adenocarcinoma (LUAD). However, prognostic, and immune correlation studies of MiAg-related genes in LUAD are lacking.MiAg differentially expressed genes (DEGs) in LUAD were obtained from public sequencing datasets. A prognostic model including MiAg DEGs was constructed according to patients divided into low- and high-risk groups. Gene Ontology, gene set enrichment analysis, gene set variation analysis, CIBERSORT immune infiltration analysis, and clinical characteristic correlation analyses were performed for functional annotation and correlation of MiAgs with prognosis in patients with LUAD.Seven MiAg DEGs of LUAD were identified: CAV1, DSG2, DSP, MYH11, NME1, PAICS, PLOD2, and the expression levels of these genes were significantly correlated (P < 0.05). The RiskScore of the MiAg DEG prognostic model demonstrated high predictive ability of overall survival of patients diagnosed with LUAD. Patients with high and low MiAg phenotypic scores exhibited significant differences in the infiltration levels of eight types of immune cells (P < 0.05). The multi-factor DEG regression model showed higher efficacy in predicting 5-year survival than 3- and 1-year survival of patients with LUAD.Seven MiAg-related genes were identified to be significantly associated with the prognosis of patients diagnosed with LUAD. Moreover, the identified MiAg DEGs might affect the immunotherapy strategy of patients with LUAD.© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.