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首页> 外文期刊>Cancer Cell International >Prognostic significance of TOP2A in non-small cell lung cancer revealed by bioinformatic analysis
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Prognostic significance of TOP2A in non-small cell lung cancer revealed by bioinformatic analysis

机译:生物信息学分析揭示TOP2A在非小细胞肺癌中的预后意义

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Lung cancer has been a common malignant tumor with a leading cause of morbidity and mortality, current molecular targets are woefully lacking comparing to the highly progressive cancer. The study is designed to identify new prognostic predictors and potential gene targets based on bioinformatic analysis of Gene Expression Omnibus (GEO) database. Four cDNA expression profiles GSE19188, GSE101929, GSE18842 and GSE33532 were chosen from GEO database to analyze the differently expressed genes (DEGs) between non-small cell lung cancer (NSCLC) and normal lung tissues. After the DEGs functions were analyzed, the protein–protein interaction network (PPI) of DEGs were constructed, and the core gene in the network which has high connectivity degree with other genes was identified. We analyzed the association of the gene with the development of NSCLC as well as its prognosis. Lastly we explored the conceivable signaling mechanism of the gene regulation during the development of NSCLC. A total of 92 up regulated and 214 down regulated DEGs were shared in four cDNA expression profiles. Based on their PPI network, TOP2A was connected with most of other genes and was selected for further analysis. Kaplan–Meier overall survival analysis (OS) revealed that TOP2A was associated with worse NSCLC patients survival. And both GEPIA analysis and immunohistochemistry experiment (IHC) confirmed that TOP2A was aberrant gain of expression in cancer comparing to normal tissues. The clinical significance of TOP2A and probable signaling pathways it involved in were further explored, and a positive correlation between TOP2A and TPX2 expression was found in lung cancer tissues. Using bioinformatic analysis, we revealed that TOP2A could be adopted as a prognostic indicator of NSCLC and it potentially regulate cancer development through co-work with TPX2. However, more detailed experiments are needed to clarify its drug target role in clinical medical use.
机译:肺癌一直是导致发病和死亡的主要原因的常见恶性肿瘤,与高度进展的癌症相比,目前的分子靶标严重缺乏。这项研究旨在基于基因表达综合(GEO)数据库的生物信息学分析,确定新的预后预测因子和潜在的基因靶标。从GEO数据库中选择了四个cDNA表达谱GSE19188,GSE101929,GSE18842和GSE33532,以分析非小细胞肺癌(NSCLC)与正常肺组织之间差异表达的基因(DEG)。在分析了DEG的功能之后,构建了DEG的蛋白质-蛋白质相互作用网络(PPI),并确定了该网络中与其他基因具有高度连通性的核心基因。我们分析了该基因与NSCLC的发展及其预后的关联。最后,我们探讨了非小细胞肺癌发展过程中基因调控的可能信号传导机制。在四个cDNA表达谱中共有92个上调的DEG和214个下调的DEG。基于他们的PPI网络,TOP2A与大多数其他基因相连,并被选择进行进一步分析。 Kaplan–Meier总体生存分析(OS)显示,TOP2A与NSCLC患者生存率降低有关。 GEPIA分析和免疫组织化学实验(IHC)均证实,与正常组织相比,TOP2A在癌症中异常表达。进一步探讨了TOP2A及其可能的信号通路的临床意义,并在肺癌组织中发现了TOP2A和TPX2表达之间存在正相关。使用生物信息学分析,我们发现TOP2A可以作为NSCLC的预后指标,并且它可能通过与TPX2的合作来调节癌症的发展。但是,需要更详细的实验来阐明其药物靶点在临床医学用途中的作用。

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