Association between vascular endothelial growth factor gene polymorphisms and the risk and prognosis of renal cell carcinoma: A systematic review and meta-analysis

Jingyuan Tang, Zhiqiang Qin, Xiao Li, Peng Han, Feng Wang, Chengdi Yang, Ran Li, Kunpeng Wang, Min Tang, Wei Wang, Qiang Lv and Wei Zhang _

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Oncotarget. 2017; 8:50034-50050. https://doi.org/10.18632/oncotarget.17293

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Jingyuan Tang1,2,*, Zhiqiang Qin1,*, Xiao Li3,*, Peng Han1, Feng Wang4, Chengdi Yang1, Ran Li1, Kunpeng Wang1,5, Min Tang1, Wei Wang1, Qiang Lv1 and Wei Zhang1

1Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210009, China

2Department of Urology, Wuxi Second People's Hospital, Nanjing Medical University, Wuxi, 214002, China

3Department of Urologic Surgery, The Affiliated Cancer Hospital of Jiangsu Province of Nanjing Medical University, Nanjing, 210029, China

4Department of Radiation Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210009, China

5Department of Urology, The First People's Hospital of Lianyungang City, Lianyungang, 222002, China

*These authors have contributed equally to this work

Correspondence to:

Wei Zhang, email: [email protected]

Qiang Lv, email: [email protected]

Keywords: VEGF polymorphisms, renal cell carcinoma, risk, prognosis, meta-analysis

Received: October 12, 2016     Accepted: April 03, 2017     Published: April 20, 2017


The aim of the meta-analysis was to clarify the associations between vascular endothelial growth factor (VEGF) polymorphisms and the risk and prognosis of renal cell carcinoma (RCC). A meta-analysis was performed by searching the databases PubMed, EMBASE and Web of Science for the relevant available studies until August 1st, 2016, and fourteen studies met the inclusion criteria. The pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to evaluate the strength of such associations. Besides, the pooled hazard ratios (HRs) with 95% CIs were used to evaluate the overall survival (OS). Fixed- or random-effects models were conducted according to existence of heterogeneity. Publication bias was evaluated using Begg’s funnel plots and Egger’s regression test. Overall, this meta-analysis included a total of 8,275 patients, who had been accrued between November 2002 and September 2015. Meta-analysis indicated that -2578C/A, +936C/T and +405G/C polymorphisms in the VEGF gene correlated with elevated RCC risk, especially in Asian populations. Moreover, VEGF -1154G/A and -634C/G polymorphisms were found significantly associated with poor OS of RCC. Therefore, this meta-analysis revealed that VEGF -2578C/A, +936C/T, +405G/C polymorphisms were associated with an elevated susceptibility to RCC, indicating that these three polymorphisms might be risk factors for RCC, especially in Asian populations.

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