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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

Moose chart showing selecting the final 12 studies included in this meta-analysis.
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Figure 1: Moose chart showing selecting the final 12 studies included in this meta-analysis.

Mentions: As depicted in figure 1, the computer-based search of EMBASE, PubMed, and Web of Science databases identified a total of 12 eligible studies15-26 for this meta-analysis, involving 8,979 breast cancer cases and 9,180 cancer-free controls. Although we primarily obtained 697 records, the initial removal of obviously irrelevant records and duplicates resulted in 27 studies for further evaluation. We subsequently deleted 15 studies due to various reasons, including research on other SNPs at the same locus, lack of data for calculation of ORs, case-case study, and comment letters.36-50 The main characteristics of the included studies are summarized in table 1. In terms of ethnicity, ten studies were based on Caucasian subjects and two on Asian subjects. The study by Jin et al. contained three sub-study groups from Poland, Germany, and Sweden respectively, and the three populations were taken as independent studies, which were merged into Caucasians in overall and subgroup meta-analysis. The quality of most included studies (83.3%) was high. Genotyping methods employed to determine VEGF SNP +936 C/T varied widely across studies, with the PCR-restriction fragment length polymorphism (PCR-RFLP) being most commonly used, followed by TaqMan and direct sequencing. The genotype distribution in controls of all studies was consistent with HWE except for the studies by Lin et al. and Luo et al.


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)

Moose chart showing selecting the final 12 studies included in this meta-analysis.
© Copyright Policy
Related In: Results  -  Collection

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

Figure 1: Moose chart showing selecting the final 12 studies included in this meta-analysis.
Mentions: As depicted in figure 1, the computer-based search of EMBASE, PubMed, and Web of Science databases identified a total of 12 eligible studies15-26 for this meta-analysis, involving 8,979 breast cancer cases and 9,180 cancer-free controls. Although we primarily obtained 697 records, the initial removal of obviously irrelevant records and duplicates resulted in 27 studies for further evaluation. We subsequently deleted 15 studies due to various reasons, including research on other SNPs at the same locus, lack of data for calculation of ORs, case-case study, and comment letters.36-50 The main characteristics of the included studies are summarized in table 1. In terms of ethnicity, ten studies were based on Caucasian subjects and two on Asian subjects. The study by Jin et al. contained three sub-study groups from Poland, Germany, and Sweden respectively, and the three populations were taken as independent studies, which were merged into Caucasians in overall and subgroup meta-analysis. The quality of most included studies (83.3%) was high. Genotyping methods employed to determine VEGF SNP +936 C/T varied widely across studies, with the PCR-restriction fragment length polymorphism (PCR-RFLP) being most commonly used, followed by TaqMan and direct sequencing. The genotype distribution in controls of all studies was consistent with HWE except for the studies by Lin et al. and Luo et al.

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