Association between single nucleotide polymorphisms (SNPs) of XRCC2 and XRCC3 homologous recombination repair genes and ovarian cancer in Polish women

Michalska, Magdalena; Samulak, Dariusz; Romanowicz, Hanna; Jabłoński, Filip; Smolarz, Beata

doi:10.1016/j.yexmp.2016.01.007

Cited by 22 publications

(26 citation statements)

References 23 publications

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“…16 citations were excluded: 6 were meta-analyses [19–24]; 6 not case-control studies [25–30]; 3 investigated other polymorphisms [14, 31, 32]; 1 did not provide detailed genotyping data [33]. We finally included 11 eligible citations [6, 9, 11–18] including 15 studies (4,757 cases and 8,431 controls) in this meta-analysis. Selection for eligible studies included in this meta-analysis was presented in Figure 1.…”

Section: Resultsmentioning

confidence: 99%

“…A host of studies [6, 9, 11–18] have explored the associations between XRCC2 rs3218536 or ERCC2 rs13181 gene polymorphisms and OC risk. But they provided inconsistent results.…”

Section: Discussionmentioning

confidence: 99%

“…Our data confirmed that ethnicity, HWE status and SOC were not the sources of heterogeneity. Sensitivity analysis about XRCC2 rs3218536 polymorphism indicated the Polish study [6] may be the source of heterogeneity. We found the heterogeneity reduced substantially in three genetic models (Allele, I 2 = 48.9%; Dominant, I 2 = 42.0%); Recessive, I 2 = 19.6%) when we excluded this Polish study.…”

Section: Discussionmentioning

confidence: 99%

“…The repair process usually contains two stages: the excision of lesion and the repair synthesis [6]. The repair system acts by mismatch repair (MMR), nucleotide excision repair (NER), and base-excision repair (BER).…”

Section: Introductionmentioning

confidence: 99%

“…A number of studies [6, 9, 11–18] investigated the relationship between XRCC2 rs3218536 and ERCC2 rs13181 polymorphisms and OC susceptibility, but with conflicting results. Thus, we conducted a comprehensive meta-analysis to explore the possible association between XRCC2 rs3218536 and ERCC2 rs13181 polymorphisms and OC risk.…”

Section: Introductionmentioning

confidence: 99%

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Associations between XRCC2 rs3218536 and ERCC2 rs13181 polymorphisms and ovarian cancer

Zhang

2016

Oncotarget

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Recent studies explored XRCC2 rs3218536 and ERCC2 rs13181 polymorphisms and ovarian cancer (OC) risk. However, the association between these two single nucleotide polymorphisms and OC risk remains conflicting. Thus, we conducted a comprehensive systematic review and meta-analysis to investigate the association. We searched the databases of PubMed, and Embase. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by using fixed-effect or random-effect models. 15 case-control studies published in 11 papers including 4,757 cases and 8,431 controls were included in this meta-analysis. No associations were obtained between XRCC2 rs3218536 and ERCC2 rs13181 polymorphisms and OC risk. Stratification analyses of Hardy–Weinberg equilibrium status indicated that rs3218536 polymorphism was associated with the decreased risk of OC when in analysis of combined HWE positive studies. In conclusion, this meta-analysis indicates that XRCC2 rs3218536 and ERCC2 rs13181 polymorphisms may not be associated with the risk of OC.

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Section: Resultsmentioning

confidence: 99%

“…A host of studies [6, 9, 11–18] have explored the associations between XRCC2 rs3218536 or ERCC2 rs13181 gene polymorphisms and OC risk. But they provided inconsistent results.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Associations between XRCC2 rs3218536 and ERCC2 rs13181 polymorphisms and ovarian cancer

Zhang

2016

Oncotarget

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The association between single nucleotide polymorphisms and ovarian cancer risk: A systematic review and network meta‐analysis

et al. 2022

Cancer Medicine

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Background The relationship between single nucleotide polymorphisms (SNPs) and ovarian cancer (OC) risk remains controversial. This systematic review and network meta‐analysis was aimed to determine the association between SNPs and OC risk. Methods Several databases (PubMed, EMBASE, China National Knowledge Infrastructure, Wanfang databases, China Science and Technology Journal Database, and China Biology Medicine disc) were searched to summarize the association between SNPs and OC published throughout April 2021. Direct meta‐analysis was used to identify SNPs that could predict the incidence of OC. Ranking probability resulting from network meta‐analysis and the Thakkinstian’s algorithm was used to select the most appropriate gene model. The false positive report probability (FPRP) and Venice criteria were further tested for credible relationships. Subgroup analysis was also carried out to explore whether there are racial differences. Results A total of 63 genes and 92 SNPs were included in our study after careful consideration. Fok1 rs2228570 is likely a dominant risk factor for the development of OC compared to other selected genes. The dominant gene model of Fok1 rs2228570 (pooled OR = 1.158, 95% CI: 1.068–1.256) was determined to be the most suitable model with a FPRP <0.2 and moderate credibility. Conclusions Fok1 rs2228570 is closely linked to OC risk, and the dominant gene model is likely the most appropriate model for estimating OC susceptibility.

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Association between the XPG gene rs2094258 polymorphism and risk of gastric cancer

Zhang

Yin

et al. 2018

Clinical Laboratory Analysis

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Association between single nucleotide polymorphisms (SNPs) of XRCC2 and XRCC3 homologous recombination repair genes and ovarian cancer in Polish women

Cited by 22 publications

References 23 publications

Associations between XRCC2 rs3218536 and ERCC2 rs13181 polymorphisms and ovarian cancer

Associations between XRCC2 rs3218536 and ERCC2 rs13181 polymorphisms and ovarian cancer

The association between single nucleotide polymorphisms and ovarian cancer risk: A systematic review and network meta‐analysis

Association between the XPG gene rs2094258 polymorphism and risk of gastric cancer

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