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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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Pathology & Oncology Research

Abstract

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.

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Abbreviations

ccRCC :

Clear cell renal cell carcinoma

TCGA :

The Cancer Genome Atlas

GEO :

Gene Expression Omnibus

DEGs :

Differentially expressed genes

ROC :

Receiver operating characteristic

AUC :

Area under the curve

OS :

Overall survival

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Acknowledgements

This research was funded by the National Natural Science Foundation of China (No. 81601370), the Construction of Translational Medicine Research Center and Collaborative Network in the Area of Bladder Diseases of Liaoning Province (No. 2015225009), the National Natural Science Foundation of China and Liaoning joint fund key program (No. U1608281) and the Double Hundred Program for Shenyang Scientific and Technological Innovation Projects (No. 100040).

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Authors and Affiliations

  1. Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang, 110122, Liaoning, China

    Qianqian Liu, Haichao Tang, Jinwei Liu, Chen Fu, Mingli Sun, Lin Zhao, Minjie Wei & Zhaojin Yu

  2. Liaoning Engineering Technology Research Center for the Research, Development and Industrialization of Innovative Peptide Drugs, China Medical University, Shenyang, 110122, Liaoning, China

    Qianqian Liu, Haichao Tang, Jinwei Liu, Chen Fu, Mingli Sun, Lin Zhao, Minjie Wei & Zhaojin Yu

  3. Department of Urology, The Fourth Affiliated Hospital of China Medical University, Shenyang, 110000, Liaoning, China

    Xiling Zhang & Ping Wang

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  1. Qianqian Liu
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Correspondence to Zhaojin Yu or Ping Wang.

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Liu, Q., Zhang, X., Tang, H. et al. Bioinformatics Analysis Suggests the Combined Expression of AURKB and KIF18B Being an Important Event in the Development of Clear Cell Renal Cell Carcinoma. Pathol. Oncol. Res. 26, 1583–1594 (2020). https://doi.org/10.1007/s12253-019-00740-y

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