Limits...
A meta-analysis of the association between the hOGG1 Ser326Cys polymorphism and the risk of esophageal squamous cell carcinoma.

Zhang J, Zhou J, Zhang P, Wang W, Tao S, Wang M - PLoS ONE (2013)

Bottom Line: We also observed significant associations in the Caucasian, Chinese language, population based control and tissue subgroups.Funnel plot and Egger's test indicate there was no publication bias in this meta-analysis.A better case-control matched study should be designed in order to provide a more precise estimation.

View Article: PubMed Central - PubMed

Affiliation: College of Life Science, Northwest A & F University, Yangling, Shaanxi, China.

ABSTRACT

Background: Genetic polymorphism of human 8-oxoguanine glycosylase 1 (hOGG1) Ser326Cys (rs1052133) has been implicated in the risk of Esophageal Squamous Cell Carcinoma (ESCC). However, the published findings are inconsistent. We therefore performed a meta-analysis to derive a more precise estimation of the association between the hOGG1 Ser326Cys polymorphism and ESCC risk.

Methodology/principal findings: A comprehensive search was conducted to identify eligible studies of hOGG1 Ser326Cys polymorphism and the risk of the ESCC. Three English and two Chinese databases were used, and ten published case-control studies, including 1987 cases and 2926 controls were identified. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to assess the strength of the association in the dominant and recessive model. Pearson correlation coefficient (PCC) and standard error (SE) were used to assess the number of Cys allele and ESCC risk in the additive model. Overall, significant associations between the hOGG1 Ser326Cys polymorphism and ESCC risk were found in the recessive model: OR = 1.37 (95% CI: 1.06-1.76, p = 0.02). We also observed significant associations in the Caucasian, Chinese language, population based control and tissue subgroups. In the additive model, positive correlation was found between the number of Cys allele and the risk of ESCC in overall studies (PCC = 0.109, SE = 0.046, p = 0.02), Caucasian subgroup and population subgroup. Funnel plot and Egger's test indicate there was no publication bias in this meta-analysis.

Conclusion: Under the published data, the hOGG1 Ser326Cys polymorphism is associated with ESCC risk in the recessive and additive model. Compared with the Ser/Ser and Ser/Cys genotype, Cys/Cys genotype might contribute to increased risk of ESCC. And the risk of ESCC is positively correlated with the number of Cys allele. A better case-control matched study should be designed in order to provide a more precise estimation.

Show MeSH

Related in: MedlinePlus

Forest plots of results of cumulative meta-analysis by published year in the recessive model.Pooled odds ratios (ORs) with 95% confidence limits (CIs) at the end of each information step were shown.
© Copyright Policy
Related In: Results  -  Collection


getmorefigures.php?uid=PMC3675068&req=5

pone-0065742-g005: Forest plots of results of cumulative meta-analysis by published year in the recessive model.Pooled odds ratios (ORs) with 95% confidence limits (CIs) at the end of each information step were shown.

Mentions: Cumulative meta-analysis of hOGG1 ser326cys with ESCC was conducted via the assortment of studies by publication time. Inclinations towards significant association were evident over time in the recessive model (Figure 5), but not in the dominant model (Figure S2). These results suggest that the precision of the estimates was progressively boosted by continually adding more samples.


A meta-analysis of the association between the hOGG1 Ser326Cys polymorphism and the risk of esophageal squamous cell carcinoma.

Zhang J, Zhou J, Zhang P, Wang W, Tao S, Wang M - PLoS ONE (2013)

Forest plots of results of cumulative meta-analysis by published year in the recessive model.Pooled odds ratios (ORs) with 95% confidence limits (CIs) at the end of each information step were shown.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3675068&req=5

pone-0065742-g005: Forest plots of results of cumulative meta-analysis by published year in the recessive model.Pooled odds ratios (ORs) with 95% confidence limits (CIs) at the end of each information step were shown.
Mentions: Cumulative meta-analysis of hOGG1 ser326cys with ESCC was conducted via the assortment of studies by publication time. Inclinations towards significant association were evident over time in the recessive model (Figure 5), but not in the dominant model (Figure S2). These results suggest that the precision of the estimates was progressively boosted by continually adding more samples.

Bottom Line: We also observed significant associations in the Caucasian, Chinese language, population based control and tissue subgroups.Funnel plot and Egger's test indicate there was no publication bias in this meta-analysis.A better case-control matched study should be designed in order to provide a more precise estimation.

View Article: PubMed Central - PubMed

Affiliation: College of Life Science, Northwest A & F University, Yangling, Shaanxi, China.

ABSTRACT

Background: Genetic polymorphism of human 8-oxoguanine glycosylase 1 (hOGG1) Ser326Cys (rs1052133) has been implicated in the risk of Esophageal Squamous Cell Carcinoma (ESCC). However, the published findings are inconsistent. We therefore performed a meta-analysis to derive a more precise estimation of the association between the hOGG1 Ser326Cys polymorphism and ESCC risk.

Methodology/principal findings: A comprehensive search was conducted to identify eligible studies of hOGG1 Ser326Cys polymorphism and the risk of the ESCC. Three English and two Chinese databases were used, and ten published case-control studies, including 1987 cases and 2926 controls were identified. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to assess the strength of the association in the dominant and recessive model. Pearson correlation coefficient (PCC) and standard error (SE) were used to assess the number of Cys allele and ESCC risk in the additive model. Overall, significant associations between the hOGG1 Ser326Cys polymorphism and ESCC risk were found in the recessive model: OR = 1.37 (95% CI: 1.06-1.76, p = 0.02). We also observed significant associations in the Caucasian, Chinese language, population based control and tissue subgroups. In the additive model, positive correlation was found between the number of Cys allele and the risk of ESCC in overall studies (PCC = 0.109, SE = 0.046, p = 0.02), Caucasian subgroup and population subgroup. Funnel plot and Egger's test indicate there was no publication bias in this meta-analysis.

Conclusion: Under the published data, the hOGG1 Ser326Cys polymorphism is associated with ESCC risk in the recessive and additive model. Compared with the Ser/Ser and Ser/Cys genotype, Cys/Cys genotype might contribute to increased risk of ESCC. And the risk of ESCC is positively correlated with the number of Cys allele. A better case-control matched study should be designed in order to provide a more precise estimation.

Show MeSH
Related in: MedlinePlus