Literature DB >> 31489573

Bioinformatics Analysis Suggests the Combined Expression of AURKB and KIF18B Being an Important Event in the Development of Clear Cell Renal Cell Carcinoma.

Qianqian Liu1,2, Xiling Zhang3, Haichao Tang1,2, Jinwei Liu1,2, Chen Fu1,2, Mingli Sun1,2, Lin Zhao1,2, Minjie Wei1,2, Zhaojin Yu4,5, Ping Wang6.   

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.

Entities:  

Keywords:  AURKB; Clear cell renal cell carcinoma; Combined expression; Differentially expressed genes; KIF18B

Mesh:

Substances:

Year:  2019        PMID: 31489573     DOI: 10.1007/s12253-019-00740-y

Source DB:  PubMed          Journal:  Pathol Oncol Res        ISSN: 1219-4956            Impact factor:   3.201


  3 in total

1.  Identification of Core Prognosis-Related Candidate Genes in Cervical Cancer via Integrated Bioinformatical Analysis.

Authors:  Jianxia Wei; Yang Wang; Kejian Shi; Ying Wang
Journal:  Biomed Res Int       Date:  2020-03-11       Impact factor: 3.411

2.  Kinesin Superfamily Member 18B (KIF18B) Promotes Cell Proliferation in Colon Adenocarcinoma.

Authors:  Fei Zhao; Yunzhang Feng; Xueqiang Zhang; Xiaohui Liu; Aili Li
Journal:  Cancer Manag Res       Date:  2020-12-11       Impact factor: 3.989

3.  Sexual dimorphism in cancer: insights from transcriptional signatures in kidney tissue and renal cell carcinoma.

Authors:  Ruhina S Laskar; Peng Li; Szilvia Ecsedi; Behnoush Abedi-Ardekani; Geoffroy Durand; Nivonirina Robinot; Jean-Noël Hubert; Vladimir Janout; David Zaridze; Anush Mukeria; Dana Mates; Ivana Holcatova; Lenka Foretova; Beata Swiatkowska; Zoran Dzamic; Sasa Milosavljevic; Robert Olaso; Anne Boland; Jean-François Deleuze; David C Muller; James D McKay; Paul Brennan; Florence Le Calvez-Kelm; Ghislaine Scelo; Estelle Chanudet
Journal:  Hum Mol Genet       Date:  2021-04-27       Impact factor: 6.150

  3 in total

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