Predictive value of vascular endothelial growth factor polymorphisms on the risk of renal cell carcinomas: a case-control study

The relationship between VEGF-460(T>C) polymorphism and cancer risk: A systematic review and meta-analysis based on 46 reports

BACKGROUND

Extensive studies on the link between single nucleotide polymorphisms (SNPs) in vascular endothelial growth factor (VEGF) and various malignancy risks produced conflicting results, notably for VEGF-460(T/C). To evaluate this correlation more comprehensively and accurately, we perform a meta-analysis.

METHODS

Through retrieving 5 databases (Web of Science (WoS), Embase, Pubmed, Wanfang database (Wangfang), and China National Knowledge Infrastructure (CNKI)) and applying hand search, citation search, and gray literature search, 44 papers included 46 reports were enrolled. To evaluate the relationship between VEGF-460 and cancer risk, we pooled odds ratios (ORs) and 95% confidence intervals (CIs).

RESULTS

Our results indicated that the VEGF-460 polymorphism is not related to malignancy susceptibility (dominant model, OR = 0.98, 95% CI = 0.87-1.09; recessive model, OR = 0.95, 95% CI = 0.82-1.10; heterozygous model, OR = 0.99, 95% CI = 0.90-1.10; homozygous model, OR = 0.92, 95% CI = 0.76-1.10; additive model, OR = 0.98, 95% CI = 0.90-1.07). While, in subgroup analysis, this SNP may reduce the risk of hepatocellular carcinoma.

CONCLUSION

this meta-analysis indicated that VEGF-460 was irrelevant to overall malignancy risk, but it might be a protective factor for hepatocellular carcinoma.

Vitamin D receptor gene polymorphisms and its interactions with environmental factors on renal cell carcinoma risk

Aims

We designed a case-control study to investigate the effect of vitamin D receptor gene (VDR) gene single nucleotide polymorphisms (SNPs) and possible gene- environment interaction on the susceptibility of renal cell carcinoma (RCC).

Methods

Generalized multifactor dimensionality reduction (GMDR) was used to find out the interaction combinations between SNPs and environmental factors, including gene- gene synergy and gene environment synergy effect. Logistic regression was used to analyze the correlation between the four SNPs in VDR gene and RCC, and the significant interaction combinations found by GMDR model were analyzed by hierarchical analysis.

Results

The genotype distribution of the control group was in accordance with Hardy- Weinberg equilibrium. Logistic regression analysis showed that the risk of RCC in VDR-rs7975232 A allele carriers was significantly higher than that of CC genotype carriers (CA + AA vs. CC), adjusted OR (95 % CI) = 1.75 (1.26–2.28). We used GMDR model to screen the best synergistic model between the four SNPs of VDR gene and smoking and drinking. We found a significant two locus model (P = 0.0010) involving rs7975232 and smoking. The cross- validation consistency of the two- locus model was 10/ 10, and the accuracy was 60.72 %. Compared with non-smokers with rs7975232 -CA or AA genotype, smokers with rs7975232 -CC genotype had the highest risk of RCC, or (95 % CI) = 2.23 (1.42–3.09), after adjustment for covariates.

Conclusions

We found that the A allele of rs7975232 within VDR gene, interaction between rs7975232 and smoking were all associated with increased RCC risk.

Impact of Vascular Endothelial Growth Factor Gene Polymorphisms and Their Interactions with Environmental Factors on Susceptibility to Renal Cell Carcinoma

AIMS

This study aimed to investigate the association of single nucleotide polymorphisms (SNPs) within vascular endothelial growth factor (VEGF) gene and additional gene-environment interaction with renal cell carcinoma (RCC) risk.

METHODS

PCR-restriction fragment length polymorphism was performed to detect SNPs. Hardy-Weinberg equilibrium and allele frequencies in cases and controls were calculated using SNPStats (http://bioinfo.iconcologia.net/SNPstats). Generalized multifactor dimensionality reduction (GMDR) was used to screen the best interaction combination among 4 SNPs, smoking, and alcohol drinking. Logistic regression was performed to investigate the association between 4 SNPs within VEGF gene, additional gene-smoking interaction, and RCC risk.

RESULTS

RCC risk was significantly higher in carriers with the T allele of rs833061 within VEGF gene than those with CC genotype (CT+TT vs. CC) {adjusted odds ratio (OR) (95% confidence interval [CI]) = 1.71 (1.17-2.32), p = 0.002} and higher in carriers with the A allele of rs699947 within VEGF gene than those with GG genotype (GA+AA vs. GG) (adjusted OR [95% CI] = 1.64 [1.27-2.10], p < 0.001). GMDR analysis indicated a significant 2-locus model (p = 0.0010) involving rs833061 and smoking. The cross-validation consistency of the 2-locus model was 10/10, and the testing accuracy was 60.72%. Current smokers with rs833061-CT+TT genotype had the highest RCC risk, compared to never smokers with rs833061-CC genotype within VEGF gene (OR [95% CI] = 3.02 [1.84-4.23], p < 0.001).

CONCLUSIONS

We found that the T allele of rs833061 and the A allele of rs699947 within VEGF gene, and the interaction between rs833061 and smoking were all associated with increased RCC risk.

Association between vascular endothelial growth factor rs699947 polymorphism and the risk of three major urologic neoplasms (bladder cancer, prostate cancer, and renal cell carcinoma): A meta-analysis involving 11,204 subjects

BACKGROUND

The relationship between vascular endothelial growth factor (VEGF) gene variant rs699947 polymorphism and urologic neoplasms risk was studied extensively in recent years. The VEGF gene plays a key role in angiogenesis of urologic neoplasms, but some conclusions are still inconclusive. The aim of this study was to determine whether this polymorphism is a risk factor for susceptibility to urologic neoplasms by conducting a meta-analysis.

METHODS

We performed a meta-analysis of 15 different publications from the PubMed, Embase and Medline databases, to better assess the association between VEGF rs699947 polymorphism and urologic neoplasms risk. Odds ratios (ORs) and 95% confidence intervals (CIs) were evaluated using random or fixed effects models.

RESULTS

By pooling all eligible studies, we found that the VEGF rs699947 polymorphism was not associated with overall urologic neoplasms. However, subgroup analysis based on cancer types demonstrated that significantly increased association was found between VEGF rs699947 polymorphism and the risk of bladder cancer (BCa) under heterozygous genetic model (OR = 1.48, 95%CI = 1.17-1.89). And rs699947 polymorphism was also identified an increased risk of renal cell carcinoma (RCC) under dominant, recessive, homozygous, heterozygous and allelic contrast genetic models, while no association was observed in prostate cancer (PCa). In addition, in subgroup analysis by ethnicity, we found rs699947 polymorphism was associated with Asian population under dominant, homozygous, heterozygous and allelic contrast genetic models. No evidence of publication bias was found (Begg's test, P = 0.855; Egger's test, P = 0.590).

CONCLUSIONS

In summary, our study showed evidence that the VEGF rs699947 polymorphism was obviously associated with an increased risk of bladder cancer and renal cell carcinoma, particularly in Asian population, while no significant association was observed in overall urologic neoplasms. Future studies with larger sample sizes are warranted to further evaluate these associations in more details.

Association Between 12 Polymorphisms of VEGF/Hypoxia/Angiogenesis Pathway Genes and Risk of Urogenital Carcinomas: A Meta-Analysis Based on Case-Control Studies

Objective: Previous studies indicated potential associations between polymorphisms in genes of VEGF/hypoxia/angiogenesis pathway and risk of urogenital carcinomas However, the results were controversial and inconclusive. Here, we conducted an in-depth meta-analysis to investigate the precise associations between polymorphisms in VEGF/hypoxia/angiogenesis related genes and risk of urogenital carcinomas.

Methods: We searched PubMed, Web of Science, EMBASE, and Cochrane Library to identify all eligible publications. Pooled odds ratios (ORs) corresponding with the 95% confidence intervals (CIs) were calculated to evaluate their associations. Subgroup analysis was conducted to further ascertain such relationship and investigate sources of heterogeneity.

Results: In the end, a total of 96 case-control studies fulfilled the inclusion criteria were enrolled for 12 polymorphisms in 4 VEGF/hypoxia/angiogenesis related genes. The pooled results showed eNOS-rs2070744 polymorphism conferred a significantly increased overall risk of urogenital carcinomas in allele, homozygote, and recessive models, respectively. In addition, eNOS-Intron 4a/b VNTR polymorphism was identified related to an increased risk of urogenital carcinomas in recessive model. And VEGF-rs699947 polymorphism was also identified an increased risk of renal cell carcinoma (RCC) in allelic, heterozygote, dominant, homozygote, and recessive models.

Conclusion: To conclude, eNOS-rs2070744 and eNOS-Intron 4a/b VNTR polymorphisms are risk factors for urogenital carcinomas. VEGF-rs699947 polymorphism was also identified as an increased risk factor for renal carcinoma.

Association between three VEGF polymorphisms and renal cell carcinoma susceptibility: a meta-analysis

Several studies have reported an association between vascular endothelial growth factor (VEGF) gene polymorphisms rs2010963, rs3025039 and rs699947 and renal cell carcinoma (RCC). However, the results remain inconclusive and controversial. We therefore conducted a meta-analysis to evaluate this association. Electronic databases were searched for relevant case-control studies up to November 2016. RevMan 5.2 software and STATA version 12.0 were used for statistical analysis in our meta-analysis. Heterogeneity was assessed using the I² value. Nine eligible studies were retrieved for detailed evaluation. The pooled estimates indicated that the GG genotype of VEGF rs2010963 polymorphism significantly decreased RCC risk [GG vs. GC+CC; GG vs. GC]. There was also a significant association between VEGF rs3025039 polymorphism and RCC susceptibility [CC+CT vs. TT; CC vs. TT]. Furthermore, a significant association between VEGF rs699947 polymorphism and RCC susceptibility was detected [A vs. C; AA+AC vs. CC; AA vs. AC+CC; AA vs. CC; AA vs. AC; AC vs. CC]. Subgroup analysis revealed that these associations held true especially for Asians. Our meta-analysis suggested that there may be a relationship between the VEGF rs2010963, rs3025039 and rs699947 polymorphisms and RCC susceptibility.

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

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.

Vascular endothelial growth factor gene polymorphisms and the risk of renal cell carcinoma: Evidence from eight case-control studies

Background

Vascular endothelial growth factor (VEGF) protein plays important role in renal cell carcinoma (RCC) development and progression. VEGF gene polymorphisms can alter the protein concentrations and might be associated with renal cell carcinoma risk. However, the results of studies investigating the association between VEGF polymorphisms and renal cell carcinoma risk are inconsistent. Thus, a meta-analysis was performed.

Methods

We selected eligible studies via electronic searches. Only high-quality studies were included based on specific inclusion criteria and the Newcastle-Ottawa Scale (NOS).

Results

Eight studies primarily focusing on seven polymorphisms were included in our meta-analysis. Our results showed dramatically high risks for renal cell carcinoma were found regarding most genetic models and alleles of the +936C/T polymorphism (except CT vs. CC). In addition, significant increased renal cell carcinoma risks were found regarding all genetic models and alleles of the -2578C/A polymorphism. However, no significant associations were found between renal cell carcinoma risk and the +1612G/A, -460T/C, -634G/C, -405G/C or -1154G/A polymorphisms.

Conclusions

Our meta-analysis indicates that the +936C/T and -2578C/A polymorphisms of VEGF are associated with an increased risk for renal cell carcinoma. Additional rigorous analytical studies are needed to confirm our results.

Association of Vascular Endothelial Growth Factor Gene Polymorphism With Renal Cell Carcinoma Risk

The conclusion of the relationship between vascular endothelial growth factor gene polymorphism and renal cell carcinoma risk was inconsistent. This study was performed to assess the relationship between vascular endothelial growth factor gene polymorphism and renal cell carcinoma risk using meta-analysis. The association studies were identified from PubMed, Embase, and Web of Science, and eligible studies were included and calculated. Ten studies were included for this meta-analysis. vascular endothelial growth factor (VEGF) +405G > CC allele and GG genotype were associated with renal cell carcinoma risk for overall populations in this meta-analysis (C allele: odds ratio = 1.18, 95% confidence interval: 1.05-1.33, P = .004; CC genotype: odds ratio = 1.20, 95% confidence interval: 0.96-1.50, P = .12; GG genotype: odds ratio = 0.79, 95% confidence interval: 0.67-0.93, P = .004). Furthermore, VEGF +936C>T gene polymorphism and VEGF −2578 C>A gene polymorphism were associated with renal cell carcinoma risk for overall populations (+936C>T: T allele: odds ratio = 1.16, 95% confidence interval: 1.05-1.29, P = .004; TT genotype: odds ratio = 1.25, 95% confidence interval: 1.02-1.52, P = .03; CC genotype: odds ratio = 0.86, 95% confidence interval: 0.75-0.98, P = .03; −2578 C>A: A allele: odds ratio = 1.26, 95% confidence interval: 1.15-1.38, P < .00001; AA genotype: odds ratio = 1.39, 95% confidence interval: 1.16-1.67, P = .0004; CC genotype: odds ratio = 0.75, 95% confidence interval: 0.61-0.92, P = .006). However, VEGF −634G>C, VEGF −460T>C, VEGF −1154 G>A, and VEGF +1612 G>A gene polymorphisms were not associated with renal cell carcinoma risk. In conclusion, VEGF +405G>CC allele and GG genotype, VEGF +936C>T gene polymorphism, and VEGF −2578 C>A gene polymorphism were associated with renal cell carcinoma risk for overall populations. However, more studies should be performed to assess this relationship in the future.

The associations between five polymorphisms of vascular endothelial growth factor and renal cell carcinoma risk: an updated meta-analysis

Background

Vascular endothelial growth factor (VEGF) is a key mediator that plays an important role in angiogenesis, tumor growth, and tumor metastasis. The associations between five polymorphisms of VEGF (rs3025039, rs699947, rs10434, rs1570360, and rs2010963) and renal cell carcinoma (RCC) risk have been extensively investigated, but the currently available results are inconsistent and inconclusive. To obtain a more accurate assessment of the associations, we conducted a meta-analysis in this study.

Materials and methods

Relevant studies were collected systemically from the following three electronic databases: MEDLINE, Web of Science, and CNKI (Chinese National Knowledge Infrastructure). Statistical analyses were performed using Review Manager 5.2 in a fixed- or random-effects model. Pooled odds ratios (ORs) with 95% confidence intervals (95% CIs) were calculated to establish the strength of associations.

Results

A total of eight case–control studies with 1,936 RCC cases and 2,770 controls fulfilling the inclusion criteria were selected for this meta-analysis. The pooled OR indicated that rs699947 polymorphism was significantly associated with RCC risk in all genetic models. A significant association was also found between the rs3025039 polymorphism and RCC risk in a homozygous model (TT vs CC: OR =1.38, 95% CI =1.11–1.72, P=0.004), a dominant model (CT+TT vs CC: OR =1.21, 95% CI =1.05–1.39, P=0.01), and a recessive model (TT vs CC+CT: OR =1.28, 95% CI =1.04–1.57, P=0.02). After a subgroup analysis of ethnicity in the allele contrast model of rs3025039 polymorphism, we found a significant relationship in the allele contrast model (T vs C: OR =1.21, 95% CI =1.05–1.40, P=0.007) in the Asian population. With regard to rs10434 polymorphism, significant association was observed only in a homozygous model (GG vs AA: OR =0.75, 95% CI =0.57–0.98, P=0.03). As to rs1570360 or rs2010963, we did not observe any relationship between the two polymorphisms and RCC risk in our study.

Conclusion

Our meta-analysis confirmed the fact that rs699947, rs3025039, and rs10434 polymorphisms were significantly relevant to elevated RCC risk. In the meanwhile, this study also demonstrated that the allele contrast model of rs3025039 polymorphism was likely to be associated with risk of RCC in the Asian population.

Joint Effect of Urinary Total Arsenic Level and VEGF-A Genetic Polymorphisms on the Recurrence of Renal Cell Carcinoma

The results of our previous study suggested that high urinary total arsenic levels were associated with an increased risk of renal cell carcinoma (RCC). Germline genetic polymorphisms might also affect cancer risk and clinical outcomes. Vascular endothelial growth factor (VEGF) plays an important role in vasculogenesis and angiogenesis, but the combined effect of these factors on RCC remains unclear. In this study, we explored the association between the VEGF-A -2578C>A, -1498T>C, -1154G>A, -634G>C, and +936C>T gene polymorphisms and RCC. We also evaluated the combined effects of the VEGF-A haplotypes and urinary total arsenic levels on the prognosis of RCC. This case-control study was conducted with 191 RCC patients who were diagnosed with renal tumors on the basis of image-guided biopsy or surgical resections. An additional 376 age- and gender-matched controls were recruited. Concentrations of urinary arsenic species were determined by a high performance liquid chromatography-linked hydride generator and atomic absorption spectrometry. Genotyping was investigated using fluorescent-based TaqMan allelic discrimination. We observed no significant associations between VEGF-A haplotypes and RCC risk. However, the VEGF-A ACGG haplotype from VEGF-A -2578, -1498, -1154, and -634 was significantly associated with an increased recurrence of RCC (OR = 3.34, 95% CI = 1.03–10.91). Urinary total arsenic level was significantly associated with the risk of RCC in a dose-response manner, but it was not related to the recurrence of RCC. The combination of high urinary total arsenic level and VEGF-A risk haplotypes affected the OR of RCC recurrence in a dose-response manner. This is the first study to show that joint effect of high urinary total arsenic and VEGF-A risk haplotypes may influence the risk of RCC recurrence in humans who live in an area without obvious arsenic exposure.

DNA repair system and renal cell carcinoma prognosis: under the influence of NBS1

Nibrin (NBS1) is a protein involved in the maintenance of genomic stability and in DNA repair mechanisms. The NBS1 E185Q polymorphism (rs1805794) has been investigated in several studies, including its influence in the pathogenesis of renal cell carcinoma (RCC), although its prognostic value is still not determined for these patients. The purpose of the present work was to determine the role of NBS1 E185Q polymorphism as a prognostic factor/genetic marker of survival in patients with RCC. We conducted a hospital-based study analyzing 172 caucasian patients with histopathological diagnosis of RCC, for which polymorphism genotyping was performed by TaqMan(®) Allelic Discrimination methodology. In this study, we have found that male patients, non-metastatic at diagnosis and NBS1 C allele carriers (GC/CC) showed a lower 5-years survival when compared with GG genotype patients (P = 0.045). Furthermore, for carriers of low-activity NBS1 C allele, multivariate Cox regression analysis revealed almost a fourfold increase in risk of death at 5 years, after adjustment for age, histological type, Fuhrman's grade, tumor size and vascular permeation (HR 3.92; 95 % CI 1.33-11.57; P = 0.013). There were no statistically significant differences between the NBS1 E185Q genotypes and the assessed patients' clinical-pathological characteristics. Our results demonstrate for the first time the impact of NBS1 E185Q polymorphism in RCC prognosis suggesting that, for RCC male patients non-metastatic at diagnosis, this polymorphism might be a putative genetic marker in the clinical outcome.