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Association between the Functional Polymorphism of Vascular Endothelial Growth Factor Gene and Breast Cancer: A Meta-Analysis.

Li J, Ju Y - Iran J Med Sci (2015)

Bottom Line: However, the published studies have produced contentious and controversial results.TT=1.01, 95% CI=0.93-1.09, Ph=1.00).Larger well-designed studies with gene-to-gene and gene-to-environment interactions are clearly required to validate the results further.

View Article: PubMed Central - PubMed

Affiliation: Department of Radiotherapy, The Second Affiliated Hospital of Nantong University, Nantong University, Nantong 226001, Jiangsu Province, China.

ABSTRACT
The vascular endothelial growth factor (VEGF) gene single-nucleotide polymorphism involved in the regulation of the protein levels has been implicated in breast cancer. However, the published studies have produced contentious and controversial results. Herein, we performed a meta-analysis (from January to October 2013); to further evaluate the association between +936 C/T polymorphism and the risk of breast cancer. By searching the EMBASE, PubMed, and Web of Science databases, we identified a total of 12 case-control studies with 8,979 cancer patients and 9,180 healthy controls. The strength of the association was assessed using Odds Ratios (ORs) with 95% Confidence Intervals (CI). We found no evidence indicating that the allelic model or the genotype models of +936 C/T polymorphism were associated with the risk of breast cancer in total population (ORCC vs. TT=1.01, 95% CI=0.96-1.06, Ph=1.00; ORCC+CT vs. TT=1.00, 95% CI=0.96-1.05, Ph=1.00; ORCC vs. CT+TT=1.02, 95% CI=0.98-1.07, Ph=0.94; OR allele C vs. allele T=1.01, 95% CI=0.98-1.04, Ph=0.99; ORCT vs. TT=1.01, 95% CI=0.93-1.09, Ph=1.00). Such lack of association with breast cancer was also observed in subgroup analyses according to ethnicity as well as in the analysis by source of controls. In conclusion, this meta-analysis suggests that the functionally important +936 C/T polymorphism may not be associated with breast cancer risk. Larger well-designed studies with gene-to-gene and gene-to-environment interactions are clearly required to validate the results further.

No MeSH data available.


Related in: MedlinePlus

Funnel plot analysis to detect publication bias for +936 C/T polymorphism (CC vs. CT+TT)
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Figure 4: Funnel plot analysis to detect publication bias for +936 C/T polymorphism (CC vs. CT+TT)

Mentions: Notable alternation in combined effect estimates is a common event when performing mete-analysis, where all genetic association studies addressing the same topic were incorporated. To check whether the pooled ORs were significantly affected by some specific study, we carried out a sensitivity analysis through sequential exclusion of each independent study. The data remained stable during the analysis and it is the unaltered ORs that ensure the reliability of our findings (data not shown). In the Begg’s test, no evidence of publication bias was detected by visual inspection of the funnel plots. P values of Egger’s test also indicated that there was no significant publication bias across the included studies (t=-0.70, P=0.49 for CC vs. CT+TT) (see figure 4).


Association between the Functional Polymorphism of Vascular Endothelial Growth Factor Gene and Breast Cancer: A Meta-Analysis.

Li J, Ju Y - Iran J Med Sci (2015)

Funnel plot analysis to detect publication bias for +936 C/T polymorphism (CC vs. CT+TT)
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4300476&req=5

Figure 4: Funnel plot analysis to detect publication bias for +936 C/T polymorphism (CC vs. CT+TT)
Mentions: Notable alternation in combined effect estimates is a common event when performing mete-analysis, where all genetic association studies addressing the same topic were incorporated. To check whether the pooled ORs were significantly affected by some specific study, we carried out a sensitivity analysis through sequential exclusion of each independent study. The data remained stable during the analysis and it is the unaltered ORs that ensure the reliability of our findings (data not shown). In the Begg’s test, no evidence of publication bias was detected by visual inspection of the funnel plots. P values of Egger’s test also indicated that there was no significant publication bias across the included studies (t=-0.70, P=0.49 for CC vs. CT+TT) (see figure 4).

Bottom Line: However, the published studies have produced contentious and controversial results.TT=1.01, 95% CI=0.93-1.09, Ph=1.00).Larger well-designed studies with gene-to-gene and gene-to-environment interactions are clearly required to validate the results further.

View Article: PubMed Central - PubMed

Affiliation: Department of Radiotherapy, The Second Affiliated Hospital of Nantong University, Nantong University, Nantong 226001, Jiangsu Province, China.

ABSTRACT
The vascular endothelial growth factor (VEGF) gene single-nucleotide polymorphism involved in the regulation of the protein levels has been implicated in breast cancer. However, the published studies have produced contentious and controversial results. Herein, we performed a meta-analysis (from January to October 2013); to further evaluate the association between +936 C/T polymorphism and the risk of breast cancer. By searching the EMBASE, PubMed, and Web of Science databases, we identified a total of 12 case-control studies with 8,979 cancer patients and 9,180 healthy controls. The strength of the association was assessed using Odds Ratios (ORs) with 95% Confidence Intervals (CI). We found no evidence indicating that the allelic model or the genotype models of +936 C/T polymorphism were associated with the risk of breast cancer in total population (ORCC vs. TT=1.01, 95% CI=0.96-1.06, Ph=1.00; ORCC+CT vs. TT=1.00, 95% CI=0.96-1.05, Ph=1.00; ORCC vs. CT+TT=1.02, 95% CI=0.98-1.07, Ph=0.94; OR allele C vs. allele T=1.01, 95% CI=0.98-1.04, Ph=0.99; ORCT vs. TT=1.01, 95% CI=0.93-1.09, Ph=1.00). Such lack of association with breast cancer was also observed in subgroup analyses according to ethnicity as well as in the analysis by source of controls. In conclusion, this meta-analysis suggests that the functionally important +936 C/T polymorphism may not be associated with breast cancer risk. Larger well-designed studies with gene-to-gene and gene-to-environment interactions are clearly required to validate the results further.

No MeSH data available.


Related in: MedlinePlus