X-Ray Repair Cross-Complementing Group 1 (XRCC1) Genetic Polymorphisms and Gastric Cancer Risk: A HuGE Review and Meta-Analysis

Department of Gastroenterology, Renji Hospital, Shanghai Institute of Gastrointestinal Diseases, School of Medicine, Shanghai Jiaotong University, People’s Republic of China.
American journal of epidemiology (Impact Factor: 5.23). 02/2011; 173(4):363-75. DOI: 10.1093/aje/kwq378
Source: PubMed


The authors performed a systematic review and meta-analysis of associations of the x-ray repair cross-complementing 1 gene (XRCC1) single nucleotide polymorphisms (SNPs) Arg194Trp, Arg280His, and Arg399Gln with gastric cancer risk, based on eligible studies retrieved from electronic databases for the period January 2000-December 2009. Ultimately, 12, 6, and 3 studies were found to be eligible for meta-analyses of Arg399Gln, Arg194Trp, and Arg280His, respectively. Regrouping was adopted in accordance with the most probably appropriate genetic models. Potential sources of heterogeneity were sought out. For overall gastric cancer, the pooled odds ratios for Arg399Gln, Arg194Trp, and Arg280His were 1.04 (95% confidence interval (CI): 0.90, 1.20; P = 0.572), 0.83 (95% CI: 0.68, 1.01; P = 0.059), and 1.18 (95% CI: 0.92, 1.50; P = 0.194), respectively. After stratification of the Arg399Gln SNP data by anatomic type (cardia vs. noncardia), the pooled odds ratio was 1.07 (95% CI: 0.84, 1.37; P = 0.568). The authors conclude that the 3 SNPs evaluated are not associated with risk of gastric cancer. The Arg399Gln SNP is not associated with the cardia type of gastric cancer. Evidently, the heterogeneity regarding the Arg399Gln SNP across studies is not explained by ethnicity, genotyping technique, sample size, or date of publication.

Download full-text


Available from: Gang Huang,
50 Reads
  • Source
    • "Other genes found in our study have also been reported relating with gastric cancer. Specific SNPs (Single Nucleotide Polymorphism) in XRCC1 (X-ray repair cross-complementing 1) (see row 7 of Table 2) are highly associated with gastric cancer [95]. DNMT1 (DNA methyltransferase 1) (see row 8 of Table 2), which is overexpressed in gastric cancer, is associated with increased risks of gastric atrophy with its abnormal polymorphisms [96]. "
    [Show abstract] [Hide abstract]
    ABSTRACT: Gastric cancer, as one of the leading causes of cancer related deaths worldwide, causes about 800,000 deaths per year. Up to now, the mechanism underlying this disease is still not totally uncovered. Identification of related genes of this disease is an important step which can help to understand the mechanism underlying this disease, thereby designing effective treatments. In this study, some novel gastric cancer related genes were discovered based on the knowledge of known gastric cancer related ones. These genes were searched by applying the shortest path algorithm in protein-protein interaction network. The analysis results suggest that some of them are indeed involved in the biological process of gastric cancer, which indicates that they are the actual gastric cancer related genes with high probability. It is hopeful that the findings in this study may help promote the study of this disease and the methods can provide new insights to study various diseases.
    03/2014; 2014:371397. DOI:10.1155/2014/371397
  • Source
    • "X-ray repair cross-complementing group 1 (XRCC1) is involved in base excision repair protein that located on chromosome 19q13.2–13.3 with a length of 33 kb [1–4]. The polymorphisms of XRCC1 gene have been identified as three categories of codons 194(Arg to Trp), 280(Arg to His), and 399 (Arg toGln) [5, 6]. "
    [Show abstract] [Hide abstract]
    ABSTRACT: X-ray repair cross-complementing group 1 (XRCC1) gene Arg194Trp polymorphism has been reported to be associated with risk of lung cancer in many published studies. Nevertheless, the research results were inconclusive and conflicting. To reach conclusive results, several meta-analysis studies were conducted by combining results from literature reports through pooling analysis. However, these previous meta-analysis studies were still not consistent. Hence, we used an updated and cumulative meta-analysis to get a more comprehensive and precise result from 25 case-control studies searching through the PubMed database up to September 1, 2013. The meta-analysis was carried out by the Comprehensive Meta-Analysis software and the odds ratio (OR) with 95 % confidence interval (CI) was used to estimate the pooled effect. The result involving 8,876 lung cancer patients and 11,210 controls revealed that XRCC1 Arg194Trp polymorphism was not associated with lung cancer risk [(OR = 0.97, 95 %CI = 0.92-1.03) for Trp vs. Arg; (OR = 0.92, 95 % CI = 0.85-0.98) for ArgTrp vs. ArgArg; (OR = 1.07, 95 % CI = 0.92-1.23) for TrpTrp vs. ArgArg; (OR = 0.93, 95 % CI = 0.87-1.00) for (TrpTrp + ArgTrp) vs. ArgArg; and (OR = 1.08, 95 % CI = 0.94-1.25) for TrpTrp vs. (ArgTrp + ArgArg)]. The cumulative meta-analysis showed that the results maintained the same, while the ORs with 95 % CI were more stable with the accumulation of case-control studies. The sensitivity and subgroups analyses showed that the results were robust and not affected by any single study with no publication bias. Relevant studies might not be needed for supporting these results.
    Tumor Biology 03/2014; 35(6). DOI:10.1007/s13277-014-1745-z · 3.61 Impact Factor
  • Source
    • "These pairwise differences (OR1, OR2 and OR3) were used to indicate the most appropriate genetic model as follows: if OR1 = OR3≠1 and OR2 = 1, then a recessive model was suggested; if OR1 = OR2≠1 and OR3 = 1, then a dominant model was suggested; if OR2 = 1/OR3≠1 and OR1 = 1, then a complete overdominant model was suggested; if OR1>OR2>1 and OR1>OR3>1 (or OR1<OR2<1 and OR1<OR3<1), then a codominant model was suggested. Once the best genetic model was identified, this model was used to collapse the three genotypes into two groups (except a codominant model) and to pool the results again [17]. Pooled ORs with 95% CI were calculated and p<0.05 was accepted with statistical significance. "
    [Show abstract] [Hide abstract]
    ABSTRACT: Interleukin (IL)-13, a T-helper type 2 cytokine, plays a critical role in the development of chronic obstructive pulmonary disease (COPD). This meta-analysis was performed to assess the association of IL-13 -1112 C/T promoter polymorphism with COPD susceptibility. Published case-control studies from Pubmed and China National Knowledge Infrastructure (CNKI) databases were retrieved. Data were extracted and pooled odds ratios (OR) with 95% confidence intervals (CI) were calculated. Eight case-control studies in seven articles were included in this meta-analysis. Pooled effect size showed IL-13 -1112 C/T was associated with COPD susceptibility in a codominant genetic model (TT vs CT, OR: 1.82, 95% CI: 1.14-2.92 and TT vs CC, OR: 2.02, 95% CI: 1.10-3.72), indicating individuals with TT genotype had an increased risk for COPD compared with those with CT or CC genotype. According to ethnicity, results indicated IL-13 -1112 C/T was correlated with COPD susceptibility in Arabians (TT vs CT, OR: 2.94, 95% CI: 1.03-8.42 and TT vs CC, OR: 3.05, 95% CI: 1.08-8.59). Moreover, after excluding the study without Hardy-Weinberg equilibrium, the pooled results were robust and no publication bias was found in this study. This meta-analysis suggests IL-13 -1112 C/T promoter polymorphism is associated with the risk of COPD in Arabians.
    PLoS ONE 07/2013; 8(7):e68222. DOI:10.1371/journal.pone.0068222 · 3.23 Impact Factor
Show more