Dataset Information

The association between IGF1 gene rs1520220 polymorphism and cancer susceptibility: a meta-analysis based on 12,884 cases and 58,304 controls.

ABSTRACT: BACKGROUND:The rs1520220 polymorphism in the insulin-like growth factor 1 (IGF1) gene has been reported to affect cancer susceptibly in several studies. However, the results of the relevant studies are inconsistent. We conduct a current meta-analysis to investigate the association between rs1520220 and cancer susceptibly. METHODS:Three databases (PubMed, Embase, and Web of Science) were searched for studies regarding the relationship between rs1520220 and cancer susceptibly. Odds ratios (ORs) and the related 95% confidence intervals (CIs) were employed to assess the strength of the associations. A stratified analysis was performed according to cancer type, ethnicity, and quality score, and when results were obtained from no fewer than two studies, these results were pooled. RESULTS:There was no positive association between rs1520220 and overall cancer risk. However, the analysis stratified by ethnicity revealed that rs1520220 significantly increased cancer susceptibility in Asian populations (allele model OR?=?1.10, 95%Cl?=?1.00-1.21, p?=?0.040; homozygote model OR?=?1.22, 95%Cl?=?1.01-1.47, p?=?0.040; dominant model OR?=?1.19, 95%Cl?=?1.01-1.39, p?=?0.033). No significantly association was detected in Caucasian populations. The analysis stratified by cancer type suggested that rs1520220 was not associated with susceptibility to breast cancer. CONCLUSIONS:The results of our meta-analysis demonstrate that the role of IGF1 rs1520220 in cancer susceptibility varies by ethnicity and cancer type and that rs1520220 increases cancer susceptibility in Asian populations.

SUBMITTER: Xu GP

PROVIDER: S-EPMC6094919 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

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The association between IGF1 gene rs1520220 polymorphism and cancer susceptibility: a meta-analysis based on 12,884 cases and 58,304 controls.

Xu Gui-Ping GP Chen Wei-Xian WX Xie Wen-Yue WY Wu Li-Fang LF

Environmental health and preventive medicine 20180816 1

<h4>Background</h4>The rs1520220 polymorphism in the insulin-like growth factor 1 (IGF1) gene has been reported to affect cancer susceptibly in several studies. However, the results of the relevant studies are inconsistent. We conduct a current meta-analysis to investigate the association between rs1520220 and cancer susceptibly.<h4>Methods</h4>Three databases (PubMed, Embase, and Web of Science) were searched for studies regarding the relationship between rs1520220 and cancer susceptibly. Odds ...[more]

PMID: 30111277

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Project description:BACKGROUND:Ataxia telangiectasia mutated (ATM) gene plays a key role in response to DNA lesions and is related to the invasion and metastasis of malignancy. Epidemiological studies have indicated associations between ATM rs1801516 polymorphism and different types of cancer, but their results are inconsistent. To further evaluate the effect of ATM rs1801516 polymorphism on cancer risk, we conducted this meta-analysis. METHODS:Studies were identified according to specific inclusion criteria by searching PubMed, Web of Science, and Embase databases. Pooled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) under recessive, dominant, codominant, and overdominant models of inheritance were calculated to estimate the association between rs1801516 polymorphism and cancer risk. RESULTS:A total of 37 studies with 12,879 cases and 18,054 controls were included in our study. No significant association was found between rs1801516 polymorphism and cancer risk in overall comparisons (AA vs GG?+?GA: OR?=?0.91, 95% CI, 0.78-1.07; AA+GA vs GG: OR?=?1.00, 95% CI, 0.90-1.11; AA vs GG: OR?=?0.89, 95% CI, 0.75-1.06; GA vs GG: OR?=?1.01, 95% CI, 0.91-1.13; GG?+?AA vs GA: OR?=?1.00, 95% CI, 0.88-1.10). However, after subgroup analyses by region-specified population, significant associations were found in European (AA vs GG?+?GA: OR?=?0.79, 95% CI, 0.65-0.96, P?=?0.017; AA vs GG: OR?=?0.79, 95% CI, 0.65-0.96, P?=?0.017), South American (AA+GA vs GG: OR?=?2.15, 95% CI, 1.37-3.38, P?=?0.001; GA vs GG: OR?=?2.19, 95% CI, 1.38-3.47, P?=?0.001; GG?+?AA vs GA: OR?=?0.46, 95% CI, 0.29-0.72, P?=?0.001), and Asian (AA vs GG?+?GA: OR?=?7.45, 95% CI, 1.31-42.46, P?=?0.024; AA vs GG: OR?=?7.40, 95% CI, 1.30-42.19, P?=?0.024). Subgroup analyses also revealed that compared with subjects carrying a GG genotype, those carrying a homozygote AA had a decreased risk for breast cancer (AA vs GG: OR?=?0.76, 95% CI, 0.59-0.98, P?=?0.035), and the homozygote AA was associated with decreased cancer risk in subjects with family history (AA vs GG: OR?=?0.68, 95% CI, 0.47-0.98, P?=?0.039). CONCLUSIONS:ATM rs1801516 polymorphism is not associated with overall cancer risk in total population. However, for subgroup analyses, this polymorphism is especially associated with breast cancer risk; in addition, it is associated with overall cancer risk in Europeans, South Americans, Asians, and those with family history.

Project description:BACKGROUND:There have been several case-control studies to assess the relationship between the transforming growth factor-?1 (TGF-?1) T?+?869C (rs1982073)/C-509T (rs1800469) gene polymorphism and lung cancer in recent years; however, the results remain controversial. In this study, we investigated the potential correlation between the TGF-?1 T?+?869C/C-509T polymorphism and increased risk of lung cancer through meta-analysis. METHODS:We searched the Cochrane Library database, Embase, PubMed, Web of Science, China National Knowledge Infrastructure, and the Wanfang Data Information Service platform to identify relevant case-control studies in strict accordance with the inclusion and exclusion criteria. The odds ratio (OR) and its 95% confidence interval (95% CI) were used to evaluate the correlation between TGF-?1 gene polymorphism and lung tumor risk. Sensitivity analysis and Egger test were used to evaluate the stability of the results and possible publication bias. RESULTS:A total of 8 studies, with 3680 patients and 4018 controls, were included. The meta-analysis revealed that there was no conspicuous correlation between the TGF-?1 T?+?869C (rs1982073)/C-509T (rs1800469) variant and lung cancer in the overall population. For TGF-?1 C-509T, a significant decreased risk was identified in patients with nonsmall-cell lung cancer (NSCLC) in the analysis stratified by disease (TT vs CT?+?CC: P?=?.02, OR?=?0.49, 95% CI 0.27-0.90). However, for TGF-?1 T?+?869C, subgroup analysis showed no correlation between the T?+?869C polymorphism and lung cancer susceptibility in patients with NSCLC. In the subgroup analysis by ethnicity, no distinct association was observed between T?+?869C (rs1982073)/C-509T (rs1800469) polymorphism and lung cancer susceptibility in the Asian and Caucasian groups. Moreover, no significant association was found in the analysis of groups stratified by age, sex, and smoking history. CONCLUSION:The TGF-?1 T?+?869C (rs1982073) and C-509T (rs1800469) polymorphisms are not implicated in lung cancer susceptibility in the overall population. However, our analysis indicated that the C-509T (rs1800469) polymorphism decreases the risk of lung cancer in patients with NSCLC.

Project description:BackgroundEstrogen has played an important role in the development of breast cancer. ER-α PvuII gene polymorphism is in close association with the occurrence risk of breast cancer, but no consensus has been achieved currently.MethodsPubMed, Embase, China National Knowledge Infrastructure (CNKI) database, Wanfang database, and VIP database were retrieved to collect the case-control studies on association between ERα gene Pvu II polymorphism and breast cancer risk published before September 1, 2017. Newcastle-Ottawa Scale (NOS) was used to assess the quality of the literatures, Stata 14.0 software was applied for meta-analysis, and the pooled odds ratio (OR) and 95% confidence interval (95% CI) were calculated. The subgroup analysis was performed to assess the confounding factors, followed by assessment of publication bias and sensitivity analysis.ResultsA total of 26 studies were enrolled in the analysis based on inclusion criteria, which included 15,360 patients and 26,423 controls. The results demonstrated that ERα gene Pvu II polymorphism was in significant association with the decrease of breast cancer risk in 3 genetic models (C vs T, OR = 0.962, 95% CI = 0.933-0.992, P = .012; CC vs TT, OR = 0.911, 95% CI = 0.856-0.969, P = .003; CC vs TT/CT, OR = 0.923, 95% CI = 0.874-0.975, P = .004). Subgroup analysis was conducted on the basis of ethnicity and source of controls, whose results illustrated that ERα gene Pvu II polymorphism was in significant association with the decrease of breast cancer risk in Asians rather than in Caucasians (CC vs TT, OR = 0.862, 95% CI = 0.750-0.922, P = .038; CC vs TT/CT, OR = 0.851, 95% CI = 0.755-0.959, P = .008). In population-based subgroup rather than in hospital-based subgroup, ERα gene Pvu II polymorphism was in significant association with the decrease of breast cancer risk in the allele model, homozygous model, dominant model, and recessive model (C vs T, OR = 0.943, 95% CI = 0.911-0.977, P = .001; CC vs TT, OR = 0.878, 95% CI = 0.817-0.944, P = .000; CC/CT vs TT, OR = 0.936, 95% CI = 0.881-0.994, P = .031; CC vs TT/CT, OR = 0.902, 95% CI = 0.847-0.960, P = .001).ConclusionERα gene Pvu II polymorphism exerts an important function in the progression of breast cancer.

Dataset Information

The association between IGF1 gene rs1520220 polymorphism and cancer susceptibility: a meta-analysis based on 12,884 cases and 58,304 controls.

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The association between IGF1 gene rs1520220 polymorphism and cancer susceptibility: a meta-analysis based on 12,884 cases and 58,304 controls.

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