Systematic review on the association between ERCC1 rs3212986 and ERCC2 rs13181 polymorphisms and glioma risk

Zhou, Chuanen; Zhao, Jianjian

doi:10.4238/2015.march.31.17

Cited by 7 publications

(6 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In our current review and analysis, the GG and TG genotypes showed no relationship with the development of glial tumors, corroborating the studies by Xin et al [31] and Zhou et al [32] (Fig. 2 and Fig.…”

Section: Discussionsupporting

confidence: 92%

“…Xu et al [25] found an increased risk only in Asians with CT + TT genotype and in both Asians and Caucasians with TT genotype. There are currently also systematic reviews in the literature that include meta-analysis and report a relationship between the XRCC1 rs1799782 polymorphism and its genotypes with the development of glial tumors [31][32][33].…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Association of XRCC1 rs1799782 and ERCC2 rs13181 Polymorphisms with Glioma Risk: A Systematic Review and Meta-Analysis

Tavares¹,

Alves-Ribeiro²,

Nery³

et al. 2020

Preprint

View full text Add to dashboard Cite

BackgroundGliomas are the most common primary tumors of the central nervous system with unclear etiology, however hereditary factors may play important roles in the development of gliomas with mutations and single nucleotide polymorphisms (SNPs) being prominent among the genetic changes. this systematic review and meta-analysis assess the association of XRCC1 (rs1799782) and ERCC2 (rs13181) gene polymorphisms and glioma risk.MethodsThis study included articles indexed in the PUBMED and EMBASE databases published during the past 15 years. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. The PICOS model was used to develop the inclusion criteria and search terms. This review was recorded at PROSPERO International prospective register of systematic reviews, ID 196173. The META-MAR V2.7.0 meta-analysis calculator was used for the statistical analysis with p-values < 0.05 being considered statistically significant. Dichotomous data are presented as odds ratios (OR) with a 95% confidence interval (CI). Statistical heterogeneity was measured using the I2 test and I2 > 50% were regarded as high heterogeneity. Funnel plots, Begg (BT) and Egger Tests (ET) were used to assess publication bias (p<0.1). Results Literature review identified 10 articles on ERCC2 gene rs13181 variant and 11 on XRCC1 rs1799782. The meta-analysis identified a risk for gliomas for the TT genotype of the XRCC1 rs1799782 SNP in Asians (OR: 1.59, 95% CI: 1.3-1.93; p=0.006; I2 13.1%). ERCC2 rs13181 polymorphisms identified as risks for gliomas were AC genotypes in Asians (OR: 2.06, 95% CI: 1.75-1.42; p = 0.00057; I2 91.1%) and Caucasians (OR: 1.16, 95% CI: 1.01-1.31; p = 0.02; I2 12.2%), and CC genotypes in Caucasians (OR: 2.06, 95% CI: 1.75-1.42; p = 0.0001; I2 98.9%).Conclusions TT genotypes of the XRCC1 rs1799782 SNP in Asians, AC genotypes of ERCC2 rs13181 polymorphisms in Asians and Caucasians, and CC genotypes of ERCC2 rs13181 polymorphisms in Caucasians were associated with increased risk for gliomas that may benefit these patients with early diagnostic and therapeutic strategies.

show abstract

Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Association of XRCC1 rs1799782 and ERCC2 rs13181 Polymorphisms with Glioma Risk: A Systematic Review and Meta-Analysis

Tavares¹,

Alves-Ribeiro²,

Nery³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…In the present study, the rs13181 SNP of the ERCC2 gene was found in all samples. However, no statistically signi cant differences in the expression of the GG, GT, and TT genotypes between high-and low-grade gliomas were observed, consistent with the ndings of Qian et al [24] and Zhou et al [25], and divergent from those of Huang et al [26], Cui et al [27] and Jia et al [28], who showed an increased risk, particularly in relation to the GT genotype in the Asian population.…”

Section: Discussionsupporting

confidence: 83%

“…Some studies have shown an association between the rs13181 variant of the ERCC2 gene and the risk of developing gliomas [21,22,23]. However, most of these studies were conducted only in Asian populations and showed contradictory results regarding the in uence of genotypes of this variant in the development of glial tumors [24][25][26][27][28]. In the present study, the rs13181 SNP of the ERCC2 gene was found in all samples.…”

Section: Discussionmentioning

confidence: 43%

Evaluation of the association of ERCC2 rs13181 polymorphism with different types of gliomas in patients in Northeast Brazil

Tavares¹,

Campos-Verdes²,

Lopes-Costa³

et al. 2021

Preprint

View full text Add to dashboard Cite

Gliomas are the most common primary tumors of the central nervous system with unclear etiology. However, hereditary factors may play an important role in glioma development, with mutations and single nucleotide polymorphisms (SNPs) being prominent among the genetic changes. This study aimed to evaluate the association of the ERCC2 gene rs13181 variant polymorphism between high- and low-grade gliomas in patients from Brazil’s Northeast region. Samples from glioma patients stored in paraffin blocks were used. DNA extraction was performed using the MagMAX™ FFPE DNA/RNA Ultra kit, and for genotyping, the Taqman assay probe C_3145033_10 corresponding to the SNP rs13181 of the ERCC2 gene was selected. Quantitative and categorical variables were analyzed using the t-test and Fisher’s exact test or Chi-square test (p < 0.05). Patients with low-grade gliomas were younger than those with high-grade gliomas (p = 0.003). Statistically significant differences were not observed in the expression of the GG, GT, and TT genotypes between low- and high-grade gliomas. The ERCC2 rs13181 genotypes found were TT, GG, and GT; however, no difference in the expression between different glioma types was observed.

show abstract

“…To date, several meta-analyses reported the association between ERCC1 or ERCC2 polymorphisms and glioma risk, whereas these studies only focused on the 2 polymorphisms (rs3212986 in ERCC1 gene and rs13181 in ERCC2 gene). [16–21] Moreover, some recent studies involving glioma risk and ERCC polymorphisms were not included. [22–25] Thus, we conducted a comprehensive meta-analysis to investigate whether 6 polymorphisms in ERCC1 (rs3212986 and rs11615), ERCC2 (rs13181, rs1799793 and rs238406), and ERCC5 (rs17655) genes are risk factors to the glioma susceptibility.…”

Section: Introductionmentioning

confidence: 99%

Association between common polymorphisms in ERCC gene and glioma risk

et al. 2017

View full text Add to dashboard Cite

Background:A number of studies have investigated the roles of excision repair cross complementation group 1 (ERCC1), ERCC2, and ERCC5 genes polymorphisms in the development of glioma; however, the results were inconsistent. Here, we performed a meta-analysis to investigate the association between 6 polymorphisms in the ERCC genes (rs3212986, rs11615, rs13181, rs1799793, rs238406, rs17655) and glioma risk.Methods:The PubMed, Embase, and Web of science were searched up to September 6, 2016, for studies on the association between ERCC polymorphisms and glioma risk. A fixed-effects or random-effects model was used to calculate the pooled odds ratios based on the results from the heterogeneity tests. Sensitivity and cumulative meta-analyses were also performed.Results:A total of 15 studies were eligible for the pooled analysis, conducted in 2 populations of ethnic descent: 8 Europeans and 7 Asians. The results showed that ERCC1 rs3212986 polymorphism was positively associated with glioma [AA vs CC: odds ratio (OR) = 1.298, 95% confidence interval (95% CI) = 1.043–1.230, P = .025]. Association of the ERCC2 rs13181 and rs1799793 polymorphisms was only observed in Asians (CC vs AA for rs13181: OR = 1.539, 95% CI = 1.122–2.109, P = .007; AA vs GG for rs1799793: OR = 1.474, 95% CI = 1.090–1.994, P = .012). However, no association was observed between glioma risk and ERCC1 rs11615, ERCC2 rs238406, and ERCC5 rs17655 polymorphisms. Moreover, sensitivity and cumulative meta-analyses confirmed the stability of the results.Conclusions:Our meta-analysis indicated that the ERCC1 rs3212986 polymorphism and 2 polymorphisms in ERCC2 gene (rs13181 and rs1799793) contributed to the susceptibility of glioma.

show abstract

Systematic review on the association between ERCC1 rs3212986 and ERCC2 rs13181 polymorphisms and glioma risk

Cited by 7 publications

References 32 publications

Association of XRCC1 rs1799782 and ERCC2 rs13181 Polymorphisms with Glioma Risk: A Systematic Review and Meta-Analysis

Association of XRCC1 rs1799782 and ERCC2 rs13181 Polymorphisms with Glioma Risk: A Systematic Review and Meta-Analysis

Evaluation of the association of ERCC2 rs13181 polymorphism with different types of gliomas in patients in Northeast Brazil

Association between common polymorphisms in ERCC gene and glioma risk

Contact Info

Product

Resources

About