Lack of Association between the hOGG1 Ser326Cys Polymorphism and Gastric Cancer Risk: a Meta-analysis

Li, Bai-Rong; Zhou, Guimei; Bian, Qian; Song, Bin

doi:10.7314/apjcp.2012.13.4.1145

Cited by 6 publications

(6 citation statements)

References 34 publications

(40 reference statements)

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“…Second, the results of the present case-control study were in line with those of the corresponding meta-analysis. Furthermore, this updated meta-result was similar to those from previous meta-analyses (Wang et al, 2011;Li et al, 2012). Third, our results are little prone to selection bias in view of the low identified probability of publication bias.…”

Section: Discussionsupporting

confidence: 75%

Lack of association between the hOGG1 gene Ser326Cys polymorphism and gastric cancer risk: evidence from a case-control study and a meta-analysis

Wg¹,

Rj²,

Cai³

et al. 2015

Genet. Mol. Res.

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ABSTRACT. The association between the human 8-oxoguanine glycosylase 1 (hOGG1) gene Ser326Cys polymorphism (rs1052133) and gastric cancer has been widely evaluated, yet a definitive answer to whether this association exists is lacking. We first conducted a case-control study to assess this association in a large Han Chinese population, and then performed a meta-analysis to further address this issue. This case-control study involved 448 patients clinically diagnosed with gastric cancer and 372 cancer-free control individuals from China. Genotyping was conducted using the polymerase chain reaction-ligase detection reaction method. Meta-analysis was performed by the STATA software. Data and study quality were assessed in duplicate. Our case-control association study indicated that there were no significant differences in the genotype and allele distributions of the Ser326Cys 14671 hOGG1 Ser326Cys polymorphism and gastric cancer ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 14 (4): 14670-14679 (2015) polymorphism between gastric cancer patients and controls (P = 0.8026 for genotype, and P = 0.5857 for allele), consistent with the results of the subsequent meta-analysis involving 2745 patients and 4588 controls under both allelic [odds ratio (OR) = 1.02; 95% confidence interval (CI) = 0.91-1.14; P = 0.739] and dominant (OR = 0.97; 95%CI = 0.78-1.21; P = 0.803) models. Further subgroup analyses by ethnicity, source of controls, and sample size also did not detect any positive associations in this meta-analysis. Overall, our study in the Han Chinese population, along with the meta-analysis, failed to confirm the association of the hOGG1 gene Ser326Cys polymorphism with gastric cancer risk, even across different ethnic populations.

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Section: Discussionsupporting

confidence: 75%

Lack of association between the hOGG1 gene Ser326Cys polymorphism and gastric cancer risk: evidence from a case-control study and a meta-analysis

Wg¹,

Rj²,

Cai³

et al. 2015

Genet. Mol. Res.

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“…An association between the hOGG1 polymorphism and breast cancer risk was found only in Asian population (allele, p =0.019; recessive model, p =0.026). Not only previous meta-analysis on bladder, gallbladder, and gastric cancer risk but also our present meta-analysis showed no statistically significance [ 9 , 11 , 14 ]. Zhang et al reported the relation between the hOGG1 polymorphism and esophageal cancer risk [ 13 ] but meta-analysis by Wang showed no association [ 11 ].…”

Section: Discussioncontrasting

confidence: 71%

“…The meta-analysis on breast cancer suggested that the allele of hOGG1 326Cys plays a protective effect in European women but not in different menopausal status (premenopausal and postmenopausal) or the other ethnicities (Asians and Americans) [ 10 ]. The hOGG1 polymorphism may be also contributed to the susceptibility of digestive cancers [ 11 ], colorectal cancer [ 12 ], esophageal squamous cell carcinoma [ 13 ] but shows a lack of association in gastric cancer [ 14 ]. In addition, the hOGG1 polymorphism is associated with hepatocellular carcinoma [ 15 ], head and neck cancer [ 16 ], and prostate cancer [ 17 ], not with lung cancer [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

Human 8-oxoguanine DNA glycosylase gene polymorphism (Ser326Cys) and cancer risk: updated meta-analysis

et al. 2017

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Genetic polymorphism of human 8-oxoguanine glycosylase 1 (hOGG1) has been reported to have a relationship with the risk of the development of various cancers. Many studies have described the influence of Ser326Cys polymorphism of the hOGG1 gene on cancer susceptibility. However, the results have remained inconclusive and controversial. Therefore, we performed a meta-analysis to more precisely determine the relationship between the hOGG1 polymorphism and the development of cancer.Electronic databases including PubMed, Embase, Google Scholar, and the Korean Studies Information Service System (KISS) were searched. The odds ratio (OR), 95% confidence interval (CI), and p value were calculated to assess the strength of the association with the risk of cancer using Comprehensive Meta-analysis software (Corporation, NJ, USA). The 127 studies including 38,757 cancer patients and 50,177 control subjects were analyzed for the meta-analysis.Our meta-analysis revealed that G allele of Ser326Cys polymorphism of the hOGG1 gene statistically increased the susceptibility of cancer (all population, OR = 1.092, 95% CI = 1.051-1.134, p < 0.001; in Asian, OR = 1.095, 95% CI = 1.048-1.145, p < 0.001; in Caucasian, OR = 1.097, 95% CI = 1.033-1.179, p = 0.002). Also, other genotype models showed significant association with cancer (p < 0.05, respectively).The present meta-analysis concluded that the G allele was associated with an increased risk of cancer. It suggested that the hOGG1 polymorphism may be a candidate marker of cancer.

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“…Gastric cancer is one of the most common malignancies and remains the second leading cause of cancer related mortality worldwide (Li et al, 2012). Despite recent advances in medical treatment and surgical techniques, the five-year survival rate for gastric cancer patients unfortunately remains poor.…”

Section: Introductionmentioning

confidence: 99%

Prognostic Value of Caveolin-1 Expression in Gastric Cancer: a Meta-analysis

Yang

Miao²,

Lu³

et al. 2014

Asian Pacific Journal of Cancer Prevention

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The relationship between caveolin-1 (Cav-1) and clinicopathological characteristics of gastric cancer is controversial, although Cav-1 plays an important role in tumor metastasis. To evaluate the clinicopathological and prognostic value of expression in patients with gastric cancer, a meta-analysis was performed to investigate the impact on clinicopathological parameters and prognosis in gastric cancer cases. Studies assessing these parameters for Cav-1 in gastric cancer were identified up to June 2014. Finally, a total of six studies met the inclusion criteria. Our combined results showed that Cav-1 expression was significantly associated with the Lauren classification (pooled OR=0.603, 95% CI: 0.381-0.953, P=0.030). Furthermore, we found that Cav-1 expression predicted a better overall survival in gastric cancer patients (pooled OR=0.590, 95% CI: 0.360-0.970, P=0.038, fixed-effect). In conclusion, the overall data of the present meta analysis showed that Cav-1 expression was not correlated with clinicopathological features except for the Lauren classification. Simultaneously, Cav-1 overexpression predicted a better overall survival in gastric cancer. Cav-1 expression in tumors is a candidate positive prognostic biomarker for gastric cancer patients.

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Lack of Association between the hOGG1 Ser326Cys Polymorphism and Gastric Cancer Risk: a Meta-analysis

Cited by 6 publications

References 34 publications

Lack of association between the hOGG1 gene Ser326Cys polymorphism and gastric cancer risk: evidence from a case-control study and a meta-analysis

Lack of association between the hOGG1 gene Ser326Cys polymorphism and gastric cancer risk: evidence from a case-control study and a meta-analysis

Human 8-oxoguanine DNA glycosylase gene polymorphism (Ser326Cys) and cancer risk: updated meta-analysis

Prognostic Value of Caveolin-1 Expression in Gastric Cancer: a Meta-analysis

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