Identification of a Necroptosis-Related Prognostic Signature and Associated Regulatory Axis in Lung Adenocarcinoma.

IF 2.6 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
International Journal of Genomics Pub Date : 2023-02-22 eCollection Date: 2023-01-01 DOI:10.1155/2023/8766311
Libo Sun, Wenwen Li, Zhenhuan Zhao, Yanhua Zuo, Zhiwu Han
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引用次数: 0

Abstract

Background: Lung cancer is considered to be the second most aggressive and rapidly fatal cancer after breast cancer. Necroptosis, a novel discovered pattern of cell death, is mediated by Receptor-interacting serine/threonine-protein kinase 1 (RIPK1), Receptor-interacting serine/threonine-protein kinase 3 (RIPK3), and Mixed Lineage Kinase Domain Like Pseudokinase (MLKL).

Methods: For the purpose of developing a prognostic model, Least absolute shrinkage and selection operator (LASSO) Cox regression analysis was conducted. Using Pearson's correlation analysis, we evaluated the correlation between necroptosis-related markers and tumor immune infiltration. A bioinformatics analysis was conducted to construct a necroptosis-related regulatory axis.

Results: There was a downregulation of most of necroptosis-related genes in lung adenocarcinoma (LUAD) versus lung tissues but an increase in PGAM5, HMGB1, TRAF2, EZH2 levels. We also summarized the Single Nucleotide Variant (SNV) and copy number variation (CNV) of necroptosis-related genes in LUAD. Consensus clustering identified two clusters in LUAD with distinct immune cell infiltration and ESTIMATEScore. Genes related to necroptosis were associated with necroptosis, Tumor necrosis factor (TNF) signaling pathway, and apoptosis according to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Four prognostic genes (ALDH2, HMGB1, NDRG2, TLR2) were combined to develop a prognostic gene signature for LUAD patients, which was highly accurate in predicting prognosis. Univariate and multivariate analysis identified HMGB1, pT stage, and pN stage as independent factors impacting on LUAD patients' prognosis. A significant correlation was found between the level of TLR2 and NDRG2 and clinical stage, immunity infiltration, and drug resistance. Additionally, the progression of LUAD might be regulated by lncRNA C5orf64/miR-582-5p/NDRG2/TLR2.

Conclusion: The current bioinformatics analysis identified a necroptosis-related prognostic signature for LUAD and their relation to immunity infiltration. This result requires further investigation.

肺腺癌坏死相关预后特征及相关调控轴的鉴定
背景癌症被认为是继癌症之后第二大侵袭性和迅速致命的癌症。坏死是一种新发现的细胞死亡模式,由受体相互作用丝氨酸/苏氨酸蛋白激酶1(RIPK1)、受体相互作用的丝氨酸/苏氨酸蛋白激酶3(RIPK3)和混合谱系激酶结构域样假激酶(MLKL)介导。方法。为了建立预后模型,进行了最小绝对收缩和选择算子(LASSO)Cox回归分析。使用Pearson相关分析,我们评估了坏死相关标志物与肿瘤免疫浸润之间的相关性。进行生物信息学分析以构建坏死相关的调控轴。后果与肺组织相比,肺腺癌(LUAD)中的大多数坏死相关基因下调,但PGAM5、HMGB1、TRAF2、EZH2水平升高。我们还总结了LUAD中坏死相关基因的单核苷酸变异(SNV)和拷贝数变异(CNV)。一致聚类在LUAD中确定了两个具有不同免疫细胞浸润和ESTIMATEScore的聚类。根据基因本体论(GO)和京都基因和基因组百科全书(KEGG)途径,与坏死相关的基因与坏死、肿瘤坏死因子(TNF)信号通路和细胞凋亡有关。将四个预后基因(ALDH2、HMGB1、NDRG2、TLR2)结合起来,开发出LUAD患者的预后基因特征,该特征在预测预后方面非常准确。单因素和多因素分析确定HMGB1、pT分期和pN分期是影响LUAD患者预后的独立因素。TLR2和NDRG2水平与临床分期、免疫浸润和耐药性之间存在显著相关性。此外,LUAD的进展可能受到lncRNA C5orf64/miR-582-5p/NDRG2/TLR2的调节。结论目前的生物信息学分析确定了LUAD的坏死相关预后特征及其与免疫浸润的关系。这一结果需要进一步调查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Genomics
International Journal of Genomics BIOCHEMISTRY & MOLECULAR BIOLOGY-BIOTECHNOLOGY & APPLIED MICROBIOLOGY
CiteScore
5.40
自引率
0.00%
发文量
33
审稿时长
17 weeks
期刊介绍: International Journal of Genomics is a peer-reviewed, Open Access journal that publishes research articles as well as review articles in all areas of genome-scale analysis. Topics covered by the journal include, but are not limited to: bioinformatics, clinical genomics, disease genomics, epigenomics, evolutionary genomics, functional genomics, genome engineering, and synthetic genomics.
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