李雪峰,陈临溪,伍尤华.生物信息学分析肾透明细胞癌相关分子标志物及其关键通路.[J].中南医学科学杂志.,2016,(5):481-485, 493. |
生物信息学分析肾透明细胞癌相关分子标志物及其关键通路 |
Analysis of the Molecular Markers and the Critical Pathway in ClearCell Renal Cell Carcinoma Through Bioinformatics |
投稿时间:2016-08-09 修订日期:2016-09-05 |
DOI: |
中文关键词: 肾透明细胞癌 生物信息学 肿瘤标志物 信号通路 |
英文关键词:clear cell renal cell carcinoma bioinformatics tumor markers signaling pathway |
基金项目:湖南省卫生计生委科研计划课题(B2016132),国家自然科学基金(81602443)资助. |
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中文摘要: |
目的 生物信息学可以从基因组相关数据库中获取海量数据,从而系统、全面地揭示肿瘤的发生、发展的规律。本研究通过生物信息学分析肾透明细胞癌(clear cell renal cell carcinoma,ccRCC)相关分子标志物及其调控的关键通路。方法从TCGA网站下载ccRCC RNA测序数据,运用生物信息学方法比较ccRCC及其配对癌旁组织两者差异表达基因,接下来通过DAVID分析ccRCC形成的关键通路。另外,通过对一部分代表性基因进行ROC曲线与生存曲线分析探讨其对ccRCC诊断及预后的价值。结果我们筛选到3318个ccRCC高表达基因及2817个ccRCC低表达基因。发现ccRCC高表达基因主要涉及信号通路有signal、Secreted、disulfide bond、acute phase等。ccRCC低表达基因主要涉及信号通路有glycoprotein、ion transport、Sodium transport、signal等。通过ROC曲线分析发现CA9、FABP6、NDUFA4L2、CRP、BIRC7、CCL18对ccRCC均有很好的诊断价值。同时发现FABP6作为一个ccRCC高表达新基因,其表达量的高低与ccRCC患者中位生存时间的长短明显相关(P=0.0048)。结论我们通过生物信息学筛选了一批ccRCC新的肿瘤标志物,这为肾透明细胞癌诊断、预后及后续靶向治疗研究提供了基础。 |
英文摘要: |
Objective Large amounts of data can be obtained from genome related databases by bioinformatics and it could systematically and comprehensively uncover the nature of tumor induction and growth.The aim of this study were to analyze the molecular markers and the critical pathway in clear cell renal cell carcinoma (ccRCC)through bioinformatics.MethodsccRCC RNA-sequencing data were downloaded from TCGA website and differentially expressed genes were gained through bioinformatics between ccRCC and matched adjacent non-tumor tissues.Then the critical pathways during ccRCC development were analyzed by The Database for Annotation,Visualization and Integrated Discovery (DAVID).Moreover,receiver-operating characteristics (ROC) curve and survival curve analysis were perfomed in some representative genes to explore the diagnostic and prognostic value for ccRCC.ResultsWe identified 3318 ccRCC highly expressed genes and 2817 ccRCC lowly expressed genes.The signaling pathways of highly expressed genes in ccRCC mainly involved in signal,Secreted,disulfide bond,acute phase,etc.The signaling pathways of lowly expressed genes in ccRCC mainly involved in glycoprotein,ion transport,Sodium transport,signal,etc.CA9,FABP6,NDUFA4L2,CRP,BIRC7,CCL18 were found that they had good diagnostic value for ccRCC by ROC curve (receiver operating characteristic curve) analysis.What’s more,the expression level of FABP6,a novel gene and up-regulated in ccRCC,was significantly correlated with the median survival duration of ccRCC patients (P=0.0048).ConclusionA number of ccRCC new tumor markers have been screened by bioinformatics,which provide the basis for diagnosis,prognosis and follow-targeted therapy in ccRCC. |
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