Association between vascular endothelial growth factor gene polymorphisms and the risk and prognosis of renal cell carcinoma: A systematic review and meta-analysis
2017; Impact Journals LLC; Volume: 8; Issue: 30 Linguagem: Inglês
10.18632/oncotarget.17293
ISSN1949-2553
AutoresJingyuan Tang, Zhiqiang Qin, Xiao Li, Peng Han, Feng Wang, Chengdi Yang, Ran Li, Kunpeng Wang, Min Tang, Wei Wang, Qiang Lv, Wei Zhang,
Tópico(s)Ovarian cancer diagnosis and treatment
Resumo// Jingyuan Tang 1, 2, * , Zhiqiang Qin 1, * , Xiao Li 3, * , Peng Han 1 , Feng Wang 4 , Chengdi Yang 1 , Ran Li 1 , Kunpeng Wang 1, 5 , Min Tang 1 , Wei Wang 1 , Qiang Lv 1 and Wei Zhang 1 1 Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210009, China 2 Department of Urology, Wuxi Second People's Hospital, Nanjing Medical University, Wuxi, 214002, China 3 Department of Urologic Surgery, The Affiliated Cancer Hospital of Jiangsu Province of Nanjing Medical University, Nanjing, 210029, China 4 Department of Radiation Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210009, China 5 Department 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: zhangwei_urology@163.com Qiang Lv, email: doctorlvqiang@sina.com Keywords: VEGF polymorphisms, renal cell carcinoma, risk, prognosis, meta-analysis Received: October 12, 2016 Accepted: April 03, 2017 Published: April 20, 2017 ABSTRACT 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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