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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.

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Related in: MedlinePlus

Forest plots result without the study of Li et al.The center of each square represents the OR, the area of the square is the weight used in the meta-analysis, and the horizontal line indicates the 95% CI.
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pone-0065742-g004: Forest plots result without the study of Li et al.The center of each square represents the OR, the area of the square is the weight used in the meta-analysis, and the horizontal line indicates the 95% CI.

Mentions: Since significant heterogeneity across studies was observed for the recessive model, we conducted a sensitivity analysis to assess the influence of each individual study on the pooled OR and the heterogeneity by sequentially removing the individual study. Results are summarized in Table 3. The forest plot of sensitivity analysis in a random model is shown in Figure 3. We can see that removing the HWE-deviation study (Upadhyay 2010 “UP” population) did not affect the result significantly. We also found that the study conducted by Li et al. (2011) influents the overall pooled estimates and the heterogeneity most. We compared this study to other studies carefully and finally found a significant difference of sex and age between the case and the control in this study. The sex and age information for each study is listed in Table 4. Cases and controls matched by sex and age in most studies. However, in the study of Li et al. (2011), we observed a significant difference between the case and control both by sex (p<0.001) and age (p<0.001). Besides, sex ratios between the case and control group in the study of Hall et al. (2006) were not matched well (p<0.001). However, in the sensitivity analysis, this article did not influent the heterogeneity very much. This time, after omitting the Li et al. (2011), the overall heterogeneity between studies was not significant (P = 0.40, I2 = 3.8). These results proved that the study of Li et al. (2011) has a significant heterogeneity from other studies. After removing the study of Li et al. (2011), overall and subgroups ORs in 9 studies were calculated again in the recessive model. Results are summarized in Table S4. No significant heterogeneity was found in any subgroups. Results were in fixed models and the overall OR = 1.45 (95% CI 1.21–1.74, p<0.0001, Figure 4). Comparing the former subgroups analysis, results had some changes. As shown in Table S4, all results of subgroups reached significant levels. Then, a new sensitivity analysis was performed on the remained 9 studies. Before and after deleting each study, no significant heterogeneity between the remaining studies was found (Table S5). Forest plot of sensitivity analysis in the fixed model is shown in Figure S1. The outcomes were all similar after removing each study. These results suggest that no individual study significantly affected the overall OR in the new meta-analysis.


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 result without the study of Li et al.The center of each square represents the OR, the area of the square is the weight used in the meta-analysis, and the horizontal line indicates the 95% CI.
© Copyright Policy
Related In: Results  -  Collection

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

pone-0065742-g004: Forest plots result without the study of Li et al.The center of each square represents the OR, the area of the square is the weight used in the meta-analysis, and the horizontal line indicates the 95% CI.
Mentions: Since significant heterogeneity across studies was observed for the recessive model, we conducted a sensitivity analysis to assess the influence of each individual study on the pooled OR and the heterogeneity by sequentially removing the individual study. Results are summarized in Table 3. The forest plot of sensitivity analysis in a random model is shown in Figure 3. We can see that removing the HWE-deviation study (Upadhyay 2010 “UP” population) did not affect the result significantly. We also found that the study conducted by Li et al. (2011) influents the overall pooled estimates and the heterogeneity most. We compared this study to other studies carefully and finally found a significant difference of sex and age between the case and the control in this study. The sex and age information for each study is listed in Table 4. Cases and controls matched by sex and age in most studies. However, in the study of Li et al. (2011), we observed a significant difference between the case and control both by sex (p<0.001) and age (p<0.001). Besides, sex ratios between the case and control group in the study of Hall et al. (2006) were not matched well (p<0.001). However, in the sensitivity analysis, this article did not influent the heterogeneity very much. This time, after omitting the Li et al. (2011), the overall heterogeneity between studies was not significant (P = 0.40, I2 = 3.8). These results proved that the study of Li et al. (2011) has a significant heterogeneity from other studies. After removing the study of Li et al. (2011), overall and subgroups ORs in 9 studies were calculated again in the recessive model. Results are summarized in Table S4. No significant heterogeneity was found in any subgroups. Results were in fixed models and the overall OR = 1.45 (95% CI 1.21–1.74, p<0.0001, Figure 4). Comparing the former subgroups analysis, results had some changes. As shown in Table S4, all results of subgroups reached significant levels. Then, a new sensitivity analysis was performed on the remained 9 studies. Before and after deleting each study, no significant heterogeneity between the remaining studies was found (Table S5). Forest plot of sensitivity analysis in the fixed model is shown in Figure S1. The outcomes were all similar after removing each study. These results suggest that no individual study significantly affected the overall OR in the new meta-analysis.

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