Literature DB >> 24817966

SKIP expression is correlated with clinical prognosis in patients with bladder cancer.

Longwang Wang1, Mei Zhang2, Yong Wu1, Cheng Cheng1, Yawei Huang1, Zimin Shi1, Hongwei Huang1.   

Abstract

The Ski-interacting protein (SKIP) is a transcriptional cofactor distinct from other cofactors and is involved in regulation of many cancer-related proteins. However, its distribution and clinical significances in bladder cancer remains poorly understood. In this study, Quantitative real-time PCR and immunohistochemistry were performed to detect the expression of SKIP in clinical bladder cancer samples. In addition, the correlation of SKIP expression and clinicopathological features and clinical outcomes were analyzed. The expression levels of SKIP in clinical bladder cancer were much higher than that in paired adjacent noncancerous tissues. High expression of SKIP was closely related with histological grades and the poor prognosis of bladder cancer. Based on our data, we speculated that SKIP may be a potential prognostic marker in bladder cancer.

Entities:  

Keywords:  SKIP expression; bladder cancer; prognosis

Mesh：

Substances：

Year:  2014        PMID： 24817966      PMCID： PMC4014250     

Source DB:  PubMed          Journal:  Int J Clin Exp Pathol        ISSN： 1936-2625


  21 in total

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Journal:  Nat Clin Pract Urol       Date:  2008-12

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Journal:  Med Oncol       Date:  2013-05-22       Impact factor: 3.064

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Journal:  J Urol       Date:  1996-04       Impact factor: 7.450

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Journal:  Eur Urol       Date:  2010-06-04       Impact factor: 20.096

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Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-23       Impact factor: 11.205

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Journal:  Eur Urol       Date:  2006-01-17       Impact factor: 20.096

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Authors:  Victor Villar; Jelena Kocic; Juan F Santibanez
Journal:  Prostate Cancer       Date:  2013-05-20

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Journal:  BMC Biochem       Date:  2013-04-08       Impact factor: 4.059
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  1 in total

1.  Risk score based on three mRNA expression predicts the survival of bladder cancer.

Authors:  Qingzuo Liu; Ruigang Diao; Guoyan Feng; Xiaodong Mu; Aiqun Li
Journal:  Oncotarget       Date:  2017-06-27
  1 in total

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