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探讨基于泛凋亡的风险评分对肺腺癌的预后预测价值及其与肿瘤免疫的相关性。

Exploration of the prognostic prediction value of the PANoptosis-based risk score and its correlation with tumor immunity in lung adenocarcinoma.

机构信息

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, Beijing, People's Republic of China.

Department of Thoracic and Cardiac Surgery, Neijiang Traditional Chinese Medicine Hospital, Sichuan Province, People's Republic of China.

出版信息

J Gene Med. 2024 Mar;26(3):e3682. doi: 10.1002/jgm.3682.

Abstract

Lung adenocarcinoma (LUAD) is a common cancer with high mortality worldwide. PANoptosis is a novel inflammatory programmed cell death modality with the characteristics of pyroptosis, apoptosis and necroptosis. It is necessary to explore PANoptosis-related genes in LUAD patients and offer evidence for prognosis prediction and therapeutic strategies. Single-cell RNA sequencing data and RNA expression profiles of LUAD patients from The Cancer Genome Atlas and Gene Expression Omnibus databases are used to screen PANoptosis-related differential genes for the construction of a risk model. Fifteen PANoptosis-related markers with prognostic value were identified by Least Absolute Shrinkage and Selection Operator (LASSO)-Cox regression analysis. Kaplan-Meier analysis and receiver operating characteristic curve analysis further demonstrated the significant predictive capability. Immune infiltration, Single Nucleotide Variants (SNV) mutations, and clinical drug susceptibility were analyzed. In conclusion, a risk model of 15 PANoptosis-related genes has significant value in prognostic prediction for LUAD and has potential to direct clinical therapeutic strategies during the treatment.

摘要

肺腺癌 (LUAD) 是一种常见的癌症,全球死亡率很高。PANoptosis 是一种新型炎症程序性细胞死亡方式,具有细胞焦亡、细胞凋亡和坏死性凋亡的特征。有必要探讨 LUAD 患者中与 PANoptosis 相关的基因,为预后预测和治疗策略提供依据。本研究从癌症基因组图谱和基因表达综合数据库中提取 LUAD 患者的单细胞 RNA 测序数据和 RNA 表达谱,筛选 PANoptosis 相关差异基因构建风险模型。通过最小绝对收缩和选择算子 (LASSO)-Cox 回归分析确定了 15 个具有预后价值的 PANoptosis 相关标志物。Kaplan-Meier 分析和受试者工作特征曲线分析进一步证明了其具有显著的预测能力。同时还对免疫浸润、单核苷酸变异 (SNV) 突变和临床药物敏感性进行了分析。综上所述,由 15 个 PANoptosis 相关基因组成的风险模型对 LUAD 的预后预测具有重要价值,有可能为治疗过程中的临床治疗策略提供指导。

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