Bioinformatics Analysis Suggests the Combined Expression of AURKB and KIF18B Being an Important Event in the Development of Clear Cell Renal Cell Carcinoma
Bioinformatics Analysis Suggests the Combined Expression of AURKB and KIF18B Being an Important Event in the Development of Clear Cell Renal Cell Carcinoma
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生物信息学分析表明 AURKB 和 KIF18B 的联合表达是透明细胞肾细胞癌发生过程中的重要事件
DOI：
10.1007/s12253-019-00740-y
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发表时间：
2020-07-01
影响因子：
2.8
通讯作者：
Wang, Ping
中科院分区：
文献类型：
--
作者：
Liu, Qianqian;Zhang, Xiling;Wang, Ping
肾透明细胞癌（Clear cell renal cell carcinoma，ccRCC）是最常见的肾细胞癌，具有高转移率和高死亡率，需要寻找潜在的治疗靶点和开发新的治疗方法。本研究采用生物信息学分析方法寻找靶点。首先，使用从癌症基因组图谱（TCGA）数据库和GSE 53757数据集获得的ccRCC表达谱来鉴定显著上调的基因。在ccRCC组织中，诊断ccRCC效率最高的3种基因是IL20 RB、AURKB和KIF18 B，它们在ccRCC组织中过度表达，并随着ccRCC的发展而表达增加。在这3个过表达基因中，AURKB和KIF18 B的相关性最高。AURKB（高）或KIF18 B（高）均与ccRCC患者的较高T、N、M分期、G分级和较短的总生存期（OS）显著相关。此外，具有AURKB（高）+ KIF18B（高）的ccRCC患者显示出更差的临床特征和预后。多因素考克斯回归分析显示，AURKB（高）和KIF18 B（高）均为独立的预后危险因素，未考虑AURKB和KIF18 B的交互作用。此外，考虑到彼此的组合，只有AURKB（高）+KIF18 B（高）表达是ccRCC患者的独立预后风险因素，而不是其他情况。AURKB与KIF18 B的表达密切相关，二者联合表达可能对肾细胞癌的发生发展有重要意义。
Clear cell renal cell carcinoma (ccRCC) is the most common type of renal cell carcinoma with high metastatic rate and high mortality rate, needing to find potential therapeutic targets and develop new therapy methods. The bioinformatics analysis was used in this study to find the targets. Firstly, the expression profile of ccRCC obtained from The Cancer Genome Atlas (TCGA) database and GSE53757 dataset were used to identify the significant up-regulated genes. IL20RB, AURKB and KIF18B with the top efficiency of capable of diagnosis ccRCC from para cancer tissue, were over-expressed in ccRCC samples, and expressed increasedly with the development of ccRCC. There was the closest correlation between AURKB and KIF18B in these three over-expressed genes. AURKB (high) or KIF18B (high) were all significantly correlated with higher T, N, M stage, G grade and shorter overall survival (OS) of ccRCC patients. Furthermore, the ccRCC patients with AURKB (high) + KIF18B (high) showed worse clinical characteristics and prognosis. Multivariate COX regression analysis indicated AURKB (high) and KIF18B (high) were all the independent prognostic risk factor without considering the interaction of AURKB and KIF18B. Moreover, considering the combination of each other, only AURKB (high) + KIF18B (high) expression was an independent prognostic risk factor for ccRCC patients, but not other situations. Collectively, AURKB was closely associated with KIF18B, and the combined expression of AURKB and KIF18B may be of great significance in ccRCC.