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多种调控性细胞死亡模式可预测肺腺癌的免疫微环境和药物敏感性。

Diverse regulated cell death modes predict the immune microenvironment and drug sensitivity in lung adenocarcinoma.

机构信息

Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China.

Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.

出版信息

J Cell Physiol. 2023 Nov;238(11):2570-2585. doi: 10.1002/jcp.31109. Epub 2023 Oct 16.

DOI:10.1002/jcp.31109
PMID:37842875
Abstract

Integrated action modes of regulated cell death (RCD) in lung adenocarcinoma (LUAD) have not been comprehensively dissected. Here, we adopted 15 RCD modes, including 1350 related genes, and established RCD signature scores. We found that LUAD patients with high RCD scores had a significantly worse prognosis in all four different cohorts (TCGA, KM-plotter, GSE31210, and GSE30219). Our nomogram established based on the RCD score and clinical characteristics performed well in both the discovery and validation sets. There was a close correlation between the RCD scores and LUAD molecular subtypes identified by unsupervised consensus clustering. Furthermore, we profiled the tumor microenvironment via deconvolution and found significant differences in immune activity, transcription factor activity and molecular pathway enrichment between the RCD-high and RCD-low groups. More importantly, we revealed that the regulation of antigen presentation is the crucial mechanism underlying RCD. In addition, higher RCD scores predict poorer sensitivity to multiple therapeutic drugs, which indicates that RCD scores may serve as a promising predictor of chemotherapy and immunotherapy outcomes. In summary, this work is the first to reveal the internal links between RCD modes, LUAD, and cancer immunity and highlights the necessity of RCD scores in personalizing treatment plans.

摘要

调控细胞死亡(RCD)在肺腺癌(LUAD)中的综合作用模式尚未被全面解析。在这里,我们采用了 15 种 RCD 模式,包括 1350 个相关基因,并建立了 RCD 特征评分。我们发现,在所有四个不同的队列(TCGA、KM-plotter、GSE31210 和 GSE30219)中,RCD 评分高的 LUAD 患者预后明显更差。我们基于 RCD 评分和临床特征建立的列线图在发现集和验证集均表现良好。RCD 评分与无监督共识聚类鉴定的 LUAD 分子亚型密切相关。此外,我们通过去卷积分析对肿瘤微环境进行了分析,发现 RCD-高和 RCD-低组之间在免疫活性、转录因子活性和分子途径富集方面存在显著差异。更重要的是,我们揭示了抗原呈递的调控是 RCD 的关键机制。此外,更高的 RCD 评分预示着对多种治疗药物的敏感性较差,这表明 RCD 评分可能成为化疗和免疫治疗结果的有前途的预测指标。总之,这项工作首次揭示了 RCD 模式、LUAD 和癌症免疫之间的内在联系,并强调了 RCD 评分在制定个体化治疗方案中的必要性。

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