中南医学科学杂志2016，Vol.44Issue(5)：481-485,493,6.DOI:10.15972/j.cnki.43-1509/r.2016.05.001
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 Clear Cell Renal Cell Carcinoma Through Bioinformatics
摘要
Abstract
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. Methods ccRCC 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).More￣over,receiver￣operating characteristics ( ROC ) curve and survival curve analysis were perfomed in some representative genes to explore the diagnostic and prognostic value for ccRCC. Results We 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 in￣volved 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). Conclusion A number of ccRCC new tumor markers have been screened by bioinformatics,which provide the basis for diagnosis,prognosis and follow￣targeted therapy in ccRCC.关键词
肾透明细胞癌/生物信息学/肿瘤标志物/信号通路Key words
clear cell renal cell carcinoma/bioinformatics/tumor markers/signaling pathway分类
医药卫生引用本文复制引用
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,2016,44(5):481-485,493,6.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 （B2016132）
