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用于预测非小细胞肺癌预后的线粒体相关程序性细胞死亡模式

Mitochondrial-associated programmed-cell-death patterns for predicting the prognosis of non-small-cell lung cancer.

作者信息

Shi Xueyan, Han Sichong, Wang Guizhen, Zhou Guangbiao

机构信息

State Key Laboratory of Molecular Oncology & Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.

出版信息

Front Med. 2025 Feb;19(1):101-120. doi: 10.1007/s11684-024-1093-3. Epub 2024 Nov 22.

Abstract

Mitochondria are the convergence point of multiple pathways that trigger programmed cell death (PCD). Mitochondrial-associated PCD (mtPCD) is involved in the pathogenesis of several diseases. However, the role of mtPCD in the prognostic prediction of cancers including non-small-cell lung cancer (NSCLC) remains to be investigated. Here, 12 mtPCD patterns were analyzed in transcriptomics, genomics, and clinical data collected from 4 datasets containing 977 patients. A risk-score assessment system containing 18 genes was established. We found that NSCLC patients with a high-risk score had a poorer prognosis. A nomogram was constructed by incorporating the risk score with clinical features. The risk score was further associated with clinicopathological information, tumor-mutation frequency, and immunotherapy responses. NSCLC patients with a high risk score had more Treg cells infiltration. However, these patients had higher tumor-mutation burden scores and may be more sensitive to immunotherapy. Moreover, receptor-interacting serine/threonine protein kinase 2 (RIPK2) was selected from mtPCD gene model for validation. We found that RIPK2 exhibited oncogenic function, and its expression level was inversely associated with the overall survival of NSCLC. Taken together, our results indicated the accuracy and practicability of the mtPCD gene model and RIPK2 in predicting the prognosis of NSCLC.

摘要

线粒体是触发程序性细胞死亡(PCD)的多种途径的交汇点。线粒体相关的程序性细胞死亡(mtPCD)参与了多种疾病的发病机制。然而,mtPCD在包括非小细胞肺癌(NSCLC)在内的癌症预后预测中的作用仍有待研究。在此,我们对从包含977例患者的4个数据集中收集的转录组学、基因组学和临床数据中的12种mtPCD模式进行了分析。建立了一个包含18个基因的风险评分评估系统。我们发现,高风险评分的NSCLC患者预后较差。通过将风险评分与临床特征相结合构建了列线图。风险评分还与临床病理信息、肿瘤突变频率和免疫治疗反应相关。高风险评分的NSCLC患者有更多调节性T细胞浸润。然而,这些患者有更高的肿瘤突变负荷评分,可能对免疫治疗更敏感。此外,从mtPCD基因模型中选择受体相互作用丝氨酸/苏氨酸蛋白激酶2(RIPK2)进行验证。我们发现RIPK2具有致癌功能,其表达水平与NSCLC的总生存期呈负相关。综上所述,我们的结果表明mtPCD基因模型和RIPK2在预测NSCLC预后方面的准确性和实用性。

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