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. 2016 Jun 23;11(1):226-230.
doi: 10.1515/med-2016-0043. eCollection 2016.

Correlation analysis of VHL and Jade-1 gene expression in human renal cell carcinoma

Affiliations

Correlation analysis of VHL and Jade-1 gene expression in human renal cell carcinoma

Wu Xiao-Fen et al. Open Med (Wars). .

Abstract

Objective: The aim of this study was to investigate the correlation of von Hippel-Lindau tumor suppressor (VHL) mRNA expression and jade family PHD finger 1 (Jade-1) gene expression in patients with renal cell carcinoma (RCC). Another aim of this study was to analyze the relationship of these two genes with clinicalpathological features of the RCC patients.

Methods: A total of 75 RCC patients who received surgically therapy in our hospital were included. All patients had complete pathological data. The expression of VHL/Jade-1 was determined by real-time polymerase chain reaction (RT-PCR).

Results: VHL and Jade-1 were both obviously downregulated in RCC tissues than that of the matched normal tissues, and both negatively correlated with tumor size as well as tumor grade. And we found a fine association of VHL gene expression with Jade-1.

Conclusion: VHL/Jade-1 exhibited significantly decreased expression in RCC tissues and was closely related to the clinical prognosis of patients. The finding of VHL expression positively correlated with Jade-1 expression shed light and provided crucial evidence on the connection of VHL protein with Wnt/b-catenin pathway.

Keywords: Jade-1; RCC; VHL; Wnt/b-catenin; correlation.

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Figures

Figure 1
Figure 1
The status and expression levels of VHL and Jade-1 in RCC and adjacent normal tissues. Comparison of relative VHL (A)and Jade-1 (B)expression levels as assessed by real-Time PCR between 75 RCCs and adjacent normal tissues. The relative mRNA expression levels in kidney tumors are presented as fold change = 2∆CtN-∆CtT of tumors versus matched normal tissues.
Figure 2
Figure 2
The positive correlation between VHL and Jade-1 expression in 75 RCC samples was determined using Spearman’s correlation analysis (P<0.0001).

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