通过综合生物信息学分析和实验验证发现AURKA是潜在的肺癌标志物。

IF 1.5 4区 医学 Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Shan Shi, Yeqing Qiu, Zhongwen Jin, Jiao Zhou, Wenyan Yu, Hongyu Zhang
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引用次数: 0

摘要

非小细胞肺癌(NSCLC)是一种总体发病率和死亡率高的恶性肿瘤,由于缺乏可靠的早期诊断和成功治疗方法。我们发现了对肺癌的诊断和预后有价值的基因。选择三个GEO数据集中的常见DEGs (DEGs)进行KEGG和GO富集分析。利用STRING数据库构建蛋白-蛋白相互作用(PPI)网络,利用分子复合物检测(MCODE)对枢纽基因进行鉴定。基因表达谱交互分析(GEPIA)和Kaplan-Meier方法分析中心基因表达和预后价值。采用定量PCR和western blotting检测多个细胞系中hub基因的表达差异。采用CCK-8法测定AURKA抑制剂CCT137690在H1993细胞中的IC50。Transwell和克隆实验证实了AURKA在肺癌中的作用,细胞周期实验探讨了其可能的作用机制。总的来说,从三个数据集中确定了239个基因变异。AURKA、BIRC5、CCNB1、DLGAP5、KIF11和KIF15在肺癌的诊断和预后中显示出很大的潜力。体外实验表明,AURKA显著影响肺癌细胞的增殖和迁移以及与细胞周期失调相关的活性。AURKA、BIRC5、CCNB1、DLGAP5、KIF11和KIF15可能是影响NSCLC发生、发展和预后的关键基因。AURKA通过破坏细胞周期显著影响肺癌细胞的增殖和迁移。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AURKA Identified as Potential Lung Cancer Marker through Comprehensive Bioinformatic Analysis and Experimental Verification.

Non-small-cell lung cancer (NSCLC) is a malignancy with high overall morbidity and mortality due to a lack of reliable methods for early diagnosis and successful treatment of the condition. We identified genes that would be valuable for the diagnosis and prognosis of lung cancer. Common DEGs (DEGs) in three GEO datasets were selected for KEGG and GO enrichment analysis. A protein-protein interaction (PPI) network was constructed using the STRING database, and molecular complex detection (MCODE) identified hub genes. Gene expression profiling interactive analysis (GEPIA) and the Kaplan-Meier method analyzed hub genes expression and prognostic value. Quantitative PCR and western blotting were used to test for differences in hub gene expression in multiple cell lines. The CCK-8 assay was used to determine the IC50 of the AURKA inhibitor CCT137690 in H1993 cells. Transwell and clonogenic assays validated the function of AURKA in lung cancer, and cell cycle experiments explored its possible mechanism of action. Overall, 239 DEGs were identified from three datasets. AURKA, BIRC5, CCNB1, DLGAP5, KIF11, and KIF15 had shown great potential for lung cancer diagnosis and prognosis. In vitro experiments suggested that AURKA significantly influenced the proliferation and migration of lung cancer cells and activities related to the dysregulation of the cell cycle. AURKA, BIRC5, CCNB1, DLGAP5, KIF11, and KIF15 may be critical genes that influence the occurrence, development, and prognosis of NSCLC. AURKA significantly affects the proliferation and migration of lung cancer cells by disrupting the cell cycle.

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来源期刊
Critical Reviews in Eukaryotic Gene Expression
Critical Reviews in Eukaryotic Gene Expression 生物-生物工程与应用微生物
CiteScore
2.70
自引率
0.00%
发文量
67
审稿时长
1 months
期刊介绍: Critical ReviewsTM in Eukaryotic Gene Expression presents timely concepts and experimental approaches that are contributing to rapid advances in our mechanistic understanding of gene regulation, organization, and structure within the contexts of biological control and the diagnosis/treatment of disease. The journal provides in-depth critical reviews, on well-defined topics of immediate interest, written by recognized specialists in the field. Extensive literature citations provide a comprehensive information resource. Reviews are developed from an historical perspective and suggest directions that can be anticipated. Strengths as well as limitations of methodologies and experimental strategies are considered.
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