Zhou Jinlin, Chen Dehe, Zhang Shiguo, Wang Chunmei, Zhang Li
Department of Respiratory Medicine, Bazhong Central Hospital, Bazhong, Sichuan, China.
Department of Medical Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Front Genet. 2023 Jan 12;13:1039983. doi: 10.3389/fgene.2022.1039983. eCollection 2022.
Lung adenocarcinoma is the most common subtype of lung cancer clinically, with high mortality and poor prognosis. Cuproptosis present a newly discovered mode of cell death characterized by aggregation of fatty acylated proteins, depletion of iron-sulfur clusterin, triggering of HSP70, and induction of intracellular toxic oxidative stress. However, the impact of cuproptosis on lung adenocarcinoma development, prognosis, and treatment has not been elucidated. By systematically analyzing the genetic alterations of 10 cuproptosis-related genes in lung adenocarcinoma, we found that CDKN2A, DLAT, LIAS, PDHA1, FDX1, GLS, and MTF1 were differentially expressed between lung cancer tissues and adjacent tissues. Based on the expression levels of 10 cuproptosis-related genes, we classified lung adenocarcinoma patients into two molecular subtypes using the Consensus clustering method, of which subtype 2 had a worse prognosis. Differential expression genes associated with prognosis between the two subtypes were obtained by differential analysis and survival analysis, and cox lasso regression was applied to construct a cuproptosis-related prognostic model. Its survival predicting ability was validated in three extrinsic validation cohorts. The results of multivariate cox analysis indicated that cuproptosis risk score was an independent prognostic predictor, and the mixed model formed by cupproptosis prognostic model combined with stage had more robust prognostic prediction accuracy. We found the differences in cell cycle, mitosis, and p53 signaling pathways between high- and low-risk groups according to GO and KEGG enrichment analysis. The results of immune microenvironment analysis showed that the enrichment score of activated dendritic cells, mast cells, and type 2 interferon response were down-regulated in the high-risk group, while the fraction of neutrophils and M0 macrophages were upregulated in the high-risk group. Compared with the high-risk group, subjects in the low-risk group had higher Immunophenoscore and may be more sensitive to immunotherapy. We identified seven chemotherapy agents may improve the curative effect in LUAD samples with higher risk score. Overall, we discovered that cuproptosis is closely related to the occurrence, prognosis, and treatment of lung adenocarcinoma. The cuproptosis prognostic model is a potential prognostic predictor and may provide new strategies for precision therapy in lung adenocarcinoma.
肺腺癌是临床上肺癌最常见的亚型,死亡率高且预后较差。铜死亡是一种新发现的细胞死亡模式,其特征是脂肪酰化蛋白聚集、铁硫簇蛋白耗竭、HSP70触发以及细胞内毒性氧化应激诱导。然而,铜死亡对肺腺癌发生、预后和治疗的影响尚未阐明。通过系统分析肺腺癌中10个铜死亡相关基因的基因改变,我们发现CDKN2A、DLAT、LIAS、PDHA1、FDX1、GLS和MTF1在肺癌组织和癌旁组织中存在差异表达。基于10个铜死亡相关基因的表达水平,我们使用一致性聚类方法将肺腺癌患者分为两种分子亚型,其中亚型2的预后较差。通过差异分析和生存分析获得两种亚型之间与预后相关的差异表达基因,并应用cox套索回归构建铜死亡相关预后模型。其生存预测能力在三个外部验证队列中得到验证。多因素cox分析结果表明,铜死亡风险评分是一个独立的预后预测指标,由铜死亡预后模型与分期相结合形成的混合模型具有更强的预后预测准确性。根据GO和KEGG富集分析,我们发现高风险组和低风险组在细胞周期、有丝分裂和p53信号通路方面存在差异。免疫微环境分析结果表明,高风险组中活化树突状细胞、肥大细胞和2型干扰素反应的富集分数下调,而高风险组中中性粒细胞和M0巨噬细胞的比例上调。与高风险组相比,低风险组的受试者具有更高的免疫表型评分,可能对免疫治疗更敏感。我们确定了七种化疗药物可能提高高风险评分的肺腺癌样本的疗效。总体而言,我们发现铜死亡与肺腺癌的发生、预后和治疗密切相关。铜死亡预后模型是一种潜在的预后预测指标,可能为肺腺癌的精准治疗提供新策略。