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作 者:熊言骏 薛胜[1] 张冲 韩兵 姚越 高幸福 汪盛[1] XIONG Yanjun;XUE Sheng;ZHANG Chong;HAN Bing;YAO Yue;GAO Xingfu;WANG Sheng(The First Affiliated Hospital of Bengbu Medical College,Anhui Bengbu 233004,China)
机构地区:[1]蚌埠医学院第一附属医院,安徽蚌埠233004
出 处:《现代肿瘤医学》2022年第20期3742-3746,共5页Journal of Modern Oncology
基 金:安徽省高校自然科学研究项目(重点项目)(编号:KJ2020A0557)。
摘 要:目的:探索AURKB和TOP2A在乳头状肾细胞癌(PRCC)组织中的表达及与预后的相关性。方法:从TCGA(the cancer genome atlas)数据库下载乳头状肾细胞癌mRNA的表达数据以及乳头状肾细胞癌患者的临床数据,利用R软件的相关包进行差异分析,筛选出差异基因。将差异基因导入STRING和Cytoscape中得到差异基因蛋白相互作用网络以及前10个关键基因,并通过GEPIA数据库验证,得到AURKB和TOP2A。进一步绘制出AURKB及TOP2A在PRCC中的表达及与临床预后的关系。最后我们选取部分肾乳头状细胞癌手术石蜡组织标本进行了实验验证。结果:AURKB和TOP2A在乳头状肾细胞癌组织中的表达量较癌旁组织中显著提高,与预后及临床特征有明显相关性,且AURKB与TOP2A表达量越高乳头状肾细胞癌患者预后越差。结论:应用生物信息学方法发现AURKB和TOP2A可能是作为PRCC预后指标。Objective:To explore the correlation between AURKB and TOP2 A expression and prognosis in papillary renal cell carcinoma(PRCC) by bioinformatic integration of data collected from different cancer databases.Methods:The mRNA expression data of papillary renal cell carcinoma and clinical data of patients with papillary renal cell carcinoma were downloaded from the TCGA(The Cancer Genome Atlas) database.The differential analysis was performed using the related packages of R software to screen out the differential genes.The differential genes were introduced into STRING and Cytoscape to obtain the differential gene protein interaction network and the first 10 key genes, which were verified by the GEPIA database to obtain AURKB and TOP2 A.The expression of AURKB and TOP2 A in PRCC and its clinical prognosis were further plotted.Finally, we selected some paraffin tissue samples of renal papillary cell carcinoma for experimental verification.Results:The expression levels of AURKB and TOP2 A in papillary renal cell carcinoma tissues were significantly higher than those in para-carcinoma tissues, and were significantly correlated with prognosis and clinical features.The higher the expression levels of AURKB and TOP2 A,the worse the prognosis of papillary renal cell carcinoma patients.Conclusion:AURKB and TOP2 A may be prognostic indicators of PRCC using bioinformatics methods.
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