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05 November 2015 : Clinical Research  

ZFX is a Strong Predictor of Poor Prognosis in Renal Cell Carcinoma

Changying LiAB, Hongjie LiBC, Ting ZhangBDE, Jianmin LiCD, Fuling MaBC, Mei LiCD, Zhifang SuiBC, Jiwu ChangFG

DOI: 10.12659/MSM.894708

Med Sci Monit 2015; 21:3380-3385


BACKGROUND: This study was designed to assay the expression of zinc finger protein X-linked (ZFX) in renal cell carcinoma (RCC) tissues and evaluate the correlation between ZFX expression and prognosis of RCC patients.

MATERIAL AND METHODS: The expressions of ZFX mRNA in 53 RCC tissues and 51 normal tissues were determined by quantitative real-time polymerase chain reaction (qRT-PCR). Immunohistochemistry (IHC) technology was used to measure the expression of ZFX protein. Then chi-square test was conducted to verify the association between ZFX expression and clinical parameters. Next, we explored the overall survival rate of RCC patients with Kaplan-Meier analysis. Finally, the correlation between ZFX expression and the prognosis of RCC patients was evaluated by Cox regression analysis.

RESULTS: The qRT-PCR result showed that the ZFX was significantly up-regulated in RCC tissues. As for the IHC consequence, the positive rate of ZFX expression in RCC specimens was 79.2%, while that in the normal control tissues was only 17.6%. Chi-square test showed that ZFX expression shared no close relationship with age, sex, or smoking (P>0.05), but was tightly associated with TNM stage, tumor size, and lymph node metastasis (P<0.05). Kaplan-Meier analysis showed that patients with ZFX positive expression had higher mortality than those with negative expression (P<0.05). Cox regression analysis revealed that ZFX expression had tight correlation with prognosis of RCC patients (HR=4.997, P=0.045, 95%CI=1.033–24.180).

CONCLUSIONS: Our findings show that ZFX could be considered as a predictor for prognosis of RCC patients.

Keywords: Carcinoma, Renal Cell - mortality, Disease Progression, Kaplan-Meier Estimate, Kidney Neoplasms - mortality, Kruppel-Like Transcription Factors - metabolism, Prognosis, Proportional Hazards Models, Real-Time Polymerase Chain Reaction, Regression Analysis, Survival Rate, Zinc Fingers



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Editorial: What Can be Learned from National and International Vaccine Adverse Event Reporting Systems During the COVID-19 Pandemic?

Dinah V. Parums
Scientific Editor, Medical Science Monitor, International Scientific Information, Inc., Melville, NY, USA

DOI: 10.12659/MSM.935299

Med Sci Monit 2022; 28:e935299


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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750