Prognostic significance of a 3-gene ferroptosis-related signature in lung cancer via LASSO analysis and cellular functions of UBE2Z

IF 2.6 4区 生物学 Q2 BIOLOGY
Bin Xie , Qiong Chen , Ziyu Dai , Chen Jiang , Jingyi Sun , Anqi Guan , Xi Chen
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引用次数: 0

Abstract

Ferroptosis is a newly identified form of non-apoptotic programmed cell death resulting from iron-dependent lipid peroxidation. It is controlled by integrated oxidation and antioxidant systems. Ferroptosis exerts a crucial effect on the carcinogenesis of several cancers, including pulmonary cancer. Herein, a ferroptosis-associated gene signature for lung cancer prognosis and diagnosis was identified using integrative bioinformatics analyses. From the FerrDB database, 256 ferroptotic regulators and markers were identified. Of these, 25 exhibited differential expression between lung cancer and non-cancerous samples, as evidenced by the GSE19804 and GSE7670 datasets from the GEO database. Utilizing LASSO Cox regression analysis on TCGA-LUAD data, a potent 3-gene risk signature comprising CAV1, RRM2, and EGFR was established. This signature adeptly differentiates various survival outcomes in lung cancer patients, including overall survival and disease-specific intervals. Based on the 3-gene risk signature, lung cancer patients were categorized into high-risk and low-risk groups. Comparative analysis revealed 69 differentially expressed genes between these groups, with UBE2Z significantly associated with overall survival in TCGA-LUAD. UBE2Z was found to be upregulated in LUAD tissues and cells compared to normal controls. Functionally, the knockdown of UBE2Z curtailed aggressive behaviors in LUAD cells, including viability, migration, and invasion. Moreover, this knockdown led to a decrease in the mesenchymal marker vimentin while elevating the epithelial marker E-cadherin within LUAD cell lines. In conclusion, the ferroptosis-associated 3-gene risk signature effectively differentiates prognosis and clinical features in patients with lung cancer. UBE2Z was identified through this model, and it is upregulated in LUAD samples. Its knockdown inhibits aggressive cellular behaviors, suggesting UBE2Z's potential as a therapeutic target for lung cancer treatment.

通过 LASSO 分析和 UBE2Z 的细胞功能发现肺癌中 3 个基因铁突变相关特征的预后意义
铁凋亡是一种新发现的非凋亡性程序性细胞死亡形式,由铁依赖性脂质过氧化引起。它受综合氧化和抗氧化系统的控制。铁凋亡对包括肺癌在内的多种癌症的发生具有重要影响。本文通过综合生物信息学分析,确定了用于肺癌预后和诊断的铁氧化相关基因特征。从 FerrDB 数据库中确定了 256 个铁变态调节因子和标记物。其中,25个基因在肺癌和非癌症样本之间表现出差异表达,GEO数据库中的GSE19804和GSE7670数据集证明了这一点。通过对TCGA-LUAD数据进行LASSO Cox回归分析,建立了由CAV1、RRM2和表皮生长因子受体(EGFR)组成的强效3基因风险特征。该特征能有效区分肺癌患者的各种生存结果,包括总生存期和疾病特异性间隔期。根据 3 个基因的风险特征,肺癌患者被分为高风险组和低风险组。对比分析发现,这些组别之间有69个差异表达基因,其中UBE2Z与TCGA-LUAD中的总生存期显著相关。与正常对照组相比,UBE2Z在LUAD组织和细胞中上调。从功能上讲,敲除 UBE2Z 可抑制 LUAD 细胞的侵袭行为,包括活力、迁移和侵袭。此外,这种敲除导致间质标志物波形蛋白(vimentin)下降,而上皮标志物E-cadherin在LUAD细胞系中升高。总之,铁蛋白沉积相关 3 基因风险特征能有效区分肺癌患者的预后和临床特征。通过该模型确定了 UBE2Z,它在 LUAD 样本中上调。敲除UBE2Z可抑制细胞的侵袭行为,这表明UBE2Z有望成为肺癌治疗的靶点。
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来源期刊
Computational Biology and Chemistry
Computational Biology and Chemistry 生物-计算机:跨学科应用
CiteScore
6.10
自引率
3.20%
发文量
142
审稿时长
24 days
期刊介绍: Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered. Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered. Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.
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