Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Chaoyang District, Panjiayuan, Nanli 17, Beijing, 100021, People's Republic of China.
J Cancer Res Clin Oncol. 2023 Dec;149(18):16311-16335. doi: 10.1007/s00432-023-05390-x. Epub 2023 Sep 12.
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.
自噬与衰老（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，MiAg 相关基因在 LUAD 中的预后和免疫相关性研究尚缺乏。
从公共测序数据集中获取 LUAD 中的 MiAg 差异表达基因（DEGs）。根据患者分为低风险组和高风险组，构建包含 MiAg DEGs 的预后模型。进行基因本体论、基因集富集分析、基因集变异分析、CIBERSORT 免疫浸润分析以及 LUAD 患者 MiAg 与预后的临床特征相关性分析，进行功能注释和相关性研究。
鉴定出 7 个 LUAD 的 MiAg DEGs：CAV1、DSG2、DSP、MYH11、NME1、PAICS、PLOD2，这些基因的表达水平呈显著相关（P < 0.05）。MiAg DEG 预后模型的 RiskScore 表现出对 LUAD 患者总生存的高预测能力。高和低 MiAg 表型评分的患者在 8 种免疫细胞的浸润水平上存在显著差异（P < 0.05）。多因素 DEG 回归模型在预测 LUAD 患者 5 年生存率方面比 3 年和 1 年生存率的预测效果更好。
鉴定出 7 个与 LUAD 患者预后显著相关的 MiAg 相关基因。此外，鉴定出的 MiAg DEGs 可能会影响 LUAD 患者的免疫治疗策略。
