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基于三个氧化应激相关基因的风险模型评估 LAC 患者的预后。

The Risk Model Based on the Three Oxidative Stress-Related Genes Evaluates the Prognosis of LAC Patients.

机构信息

Department of Cardiothoracic Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan 442012, Hubei Province, China.

Department of Ultrasound, The People's Hospital of Jianyang City, Jianyang 641400, Sichuan Province, China.

出版信息

Oxid Med Cell Longev. 2022 Jun 23;2022:4022896. doi: 10.1155/2022/4022896. eCollection 2022.

DOI:10.1155/2022/4022896
PMID:35783192
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9246616/
Abstract

BACKGROUND

Oxidative stress plays a role in carcinogenesis. This study explores the roles of oxidative stress-related genes (OSRGs) in lung adenocarcinoma (LAC). Besides, we construct a risk score model of OSRGs that evaluates the prognosis of LAC patients.

METHODS

OSRGs were downloaded from the Gene Set Enrichment Analysis (GSEA) website. The expression levels of OSRGs were confirmed in LAC tissues of the TCGA database. GO and KEGG analyses were used to evaluate the roles and mechanisms of oxidative stress-related differentially expressed genes (DEGs). Survival, ROC, Cox analysis, and AIC method were used to screen the prognostic DEGs in LAC patients. Subsequently, we constructed a risk score model of OSRGs and a nomogram. Further, this work investigated the values of the risk score model in LAC progression and the relationship between the risk score model and immune infiltration.

RESULTS

We discovered 163 oxidative stress-related DEGs in LAC, involving cellular response to oxidative stress and reactive oxygen species. Besides, the areas under the curve of , , , , , , and were 0.970, 0.984, 0.984, 0.945, 0.984, 0.771, and 0.959, respectively. This indicates that these OSRGs have diagnosis values of LAC and are significantly related to the overall survival of LAC patients. , , and overexpressions were independent risk factors for the poor prognosis of LAC patients and were associated with risk scores in the risk model. High-risk score levels affected the poor prognosis of LAC patients. Notably, a high-risk score may be implicated in LAC progression via cell cycle, DNA replication, mismatch repair, and other mechanisms. Further, , , and expression levels were related to the immune infiltrating cells of LAC, including mast cells, NK cells, and CD8 T cells.

CONCLUSION

In summary, , , and of OSRGs are associated with poor prognosis of LAC patients. We confirmed that the risk model based on the , , and is expected to assess the prognosis of LAC patients.

摘要

背景

氧化应激在癌症发生中起作用。本研究探讨了氧化应激相关基因（OSRGs）在肺腺癌（LAC）中的作用。此外，我们构建了一个基于 OSRGs 的风险评分模型，以评估 LAC 患者的预后。

方法

从基因集富集分析（GSEA）网站下载 OSRGs。在 TCGA 数据库中验证 LAC 组织中 OSRGs 的表达水平。GO 和 KEGG 分析用于评估氧化应激相关差异表达基因（DEGs）的作用和机制。生存、ROC、Cox 分析和 AIC 方法用于筛选 LAC 患者的预后 DEGs。随后，我们构建了一个 OSRGs 风险评分模型和一个列线图。进一步研究了风险评分模型在 LAC 进展中的价值以及风险评分模型与免疫浸润的关系。

结果

我们在 LAC 中发现了 163 个氧化应激相关的 DEGs，涉及细胞对氧化应激和活性氧的反应。此外，AUC 分别为 0.970、0.984、0.984、0.945、0.984、0.771 和 0.959，这表明这些 OSRGs 具有 LAC 的诊断价值，并且与 LAC 患者的总体生存率显著相关。和表达升高是 LAC 患者预后不良的独立危险因素，与风险模型中的风险评分相关。高风险评分水平影响 LAC 患者的预后不良。值得注意的是，高风险评分可能通过细胞周期、DNA 复制、错配修复等机制参与 LAC 的进展。此外，、和表达水平与 LAC 的免疫浸润细胞有关，包括肥大细胞、NK 细胞和 CD8 T 细胞。

结论

总之，OSRGs 的、和与 LAC 患者的不良预后相关。我们证实了基于、和的风险模型有望评估 LAC 患者的预后。

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