Lack of association between MnSOD Val16Ala polymorphism and breast cancer risk: a meta-analysis involving 58,448 subjects

Published data on the association between MnSOD Val16Ala polymorphism and breast cancer risk are inconclusive. To derive a more precise estimation of the relationship, a meta-analysis was performed. Medline, PubMed, Embase, and Web of Science were searched. Crude ORs with 95% CIs were used to assess the strength of association between the MnSOD Val16Ala polymorphism and breast cancer risk. The pooled ORs were performed for co-dominant model (Val/Ala vs. Val/Val, Ala/Ala vs. Val/Val), dominant model (Ala/Ala + Val/Ala vs. Val/Val), and recessive model (Ala/Ala vs. Val/Ala + Val/Val), respectively. A total of 32 studies including 26,022 cases and 32,426 controls were involved in this meta-analysis. Overall, no significant associations were found between MnSOD Val16Ala polymorphism and breast cancer risk when all studies pooled into the meta-analysis (Val/Ala vs. Val/Val: OR = 1.022, 95% CI = 0.981–1.064; Ala/Ala vs. Val/Val: OR = 1.006, 95% CI = 0.934–1.083; dominant model: OR = 1.013, 95% CI = 0.962–1.066; and recessive model: OR = 0.985, 95% CI = 0.931–1.042). In the subgroup analysis by ethnicity or study design, still no significant associations were found for all comparison models. In conclusion, this meta-analysis suggests that the MnSOD Val16Ala polymorphism may be not associated with breast cancer development. However, large sample and representative population-based studies with homogeneous breast cancer patients and well-matched controls are warranted to confirm this finding.     

Lack of association between catechol-O-methyltransferase Val108/158Met polymorphism and breast cancer risk: a meta-analysis of 25,627 cases and 34,222 controls

Epidemiological studies have evaluated the association between catechol-O-methyltransferase (COMT) Val108/158Met polymorphism and breast cancer risk. However, the results remain conflicting rather than conclusive. In order to derive a more precise estimation of the relationship, we performed this meta-analysis. Systematic searches of the PubMed and Medline databases were performed. A total of 41 studies including 25,627 cases and 34,222 controls were identified. Genotype distributions of COMT in the controls of all studies were in agreement with the Hardy–Weinberg equilibrium (HWE) except for three studies. When all 41 studies were pooled into the meta-analysis, there was no evidence for significant association between COMT Val108/158Met polymorphism and breast cancer risk (for Val/Met vs. Val/Val: OR = 0.99, 95% CI = 0.93–1.04; for Met/Met vs. Val/Val: OR = 0.96, 95% CI = 0.88–1.04; for dominant model: OR = 0.97, 95% CI = 0.92–1.03; for recessive model: OR = 0.97, 95% CI = 0.90–1.04). In the subgroup analyses by ethnicity, menopausal status, no significant associations were found in all genetic models. When sensitivity analyses were performed by excluding HWE-violating studies, all the results were not materially altered. In summary, the meta-analysis strongly suggests that COMT Val108/158Met polymorphism is not associated with increased breast cancer risk.     

No association between CYP1B1 Val432Leu polymorphism and breast cancer risk: a meta-analysis involving 40,303 subjects

Breast cancer is the most common cancer in women. To date, many publications have evaluated the association between Cytochrome P450 1B1 (CYP1B1) Val432Leu polymorphism and breast cancer risk. However, the results remain inconclusive. In order to derive a more precise estimation of the association, a meta-analysis was performed in this study. By searching Medline, Pubmed, and ISI Web of Knowledge databases, 26 studies including 19,028 cases and 21,275 controls were collected for CYP1B1 Val432Leu polymorphism. Crude ORs with 95% CIs were used to assess the strength of association between CYP1B1 Val432Leu polymorphism and breast cancer risk. The pooled ORs were performed for codominant model, dominant model, and recessive model, respectively. Overall, no significant associations between CYP1B1 Val432Leu polymorphism and breast cancer susceptibility were found for Val/Val versus Leu/Leu (OR = 0.98; 95% CI: 0.90–1.06), Val/Leu versus Leu/Leu (OR = 1.01; 95% CI: 0.93–1.09), Val/Val + Val/Leu versus Leu/Leu (OR = 1.00; 95% CI: 0.93–1.08) and Val/Val versus Val/Leu + Leu/Leu (OR = 0.96; 95% CI: 0.91–1.01). In the stratified analysis by ethnicity, menopausal status and sources of controls, significant associations were still not observed in all genetic models. In conclusion, this meta-analysis provides strong evidence that CYP1B1 Val432Leu polymorphism is not associated with breast cancer risk.     

Association between SOD2 C47T polymorphism and lung cancer susceptibility: a meta-analysis

Lung cancer is one of the most common cancers worldwide, but its etiology is still unclear. Superoxide dismutase 2 (SOD2) plays an essential role in oxidative stress and may be involved in the development of lung cancer. The association between SOD2 C47T polymorphism and lung cancer risk has been widely investigated, but the results of previous studies are contradictory. We conducted a meta-analysis to comprehensively assess the association between SOD2 C47T polymorphism and lung cancer. The association was estimated by odds ratio (OR) with 95 % confidence interval (95 % CI). A total of 10 studies with 5,146 cases and 6,173 controls were identified. The results showed that SOD2 C47T polymorphism was significantly associated with lung cancer (T versus C: OR?=?0.88, 95 % CI?=?0.83–0.93, P?<?0.001; TT versus CC: OR?=?0.74, 95 % CI?=?0.66–0.83, P?<?0.001; TT versus CC/CT: OR?=?0.81, 95 % CI?=?0.73–0.89, P?<?0.001). Subgroup analysis by ethnicity suggested that SOD2 C47T polymorphism was significantly associated with lung cancer in both East Asians and Caucasians. Conclusively, this meta-analysis strongly suggests that SOD2 C47T polymorphism is significantly associated with lung cancer.     

Association between MTHFR Ala222Val (rs1801133) polymorphism and bladder cancer susceptibility: a systematic review and meta-analysis

Folate metabolism is thought to play an important role in carcinogenesis through its involvement in both DNA methylation and nucleotide synthesis. The association between the MTHFR Ala222Val polymorphism and bladder cancer has been widely reported, however, in general the data from published studies with individually low statistical power were controversial and underpowered. Hence, we performed a meta-analysis to investigate the association between bladder cancer and MTHFR Ala222Val in different inheritance models. Fourteen studies including a total of 3,570 bladder cancer cases and 3,926 controls for MTHFR rs1801133 polymorphism were included in the meta-analysis. Data were extracted from these studies and odds ratios with corresponding 95 % confidence intervals (95 % CI) were computed to estimate the strength of the association. Overall, the MTHFR Ala222Val polymorphism was not associated with the development of bladder cancer in all genetic models (Ala/Ala vs. Val/Val—OR?=?0.961, 95 % CI?=?0.763–1.209; Ala/Ala vs. Ala/Val—OR?=?0.918, 95 % CI?=?0.795–1.060—Ala/Val vs. Val/Val—OR?=?1.022, 95 % CI?=?0.852–1.227; dominant model—OR?=?0.998, 95 % CI?=?0.869–1.145; recessive model—OR?=?0.921, 95 % CI?=?0.794–1.069; Ala allele vs. Val allele—OR?=?0.957, 95 % CI?=?0.857–1.067). In the stratified analyses, no significant associations were found among different descent populations and sources of controls. Our meta-analysis suggests that the MTHFR Ala222Val polymorphism not contributes to the development of bladder cancer.     

The association between ATM D1853N polymorphism and breast cancer susceptibility: a meta-analysis

Background

Emerging evidence suggests that ataxia telangiectasia-mutated (ATM) is involved in numerous damage repair signaling pathways and cell-cycle checkpoints. Heterozygous carriers of ATM-mutations have an increased risk for the development of breast cancer. The purpose of this study is to evaluate the association between ATM exon39 5557G > A (D1853N, rs1801516) polymorphism and breast cancer susceptibility with the use of a meta-analysis.

Methods

By searching PubMed and Embase databases, a total of 9 epidemiological studies with 4,191 cases and 3,780 controls were identified. Crude odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) for ATM D1853N polymorphism and breast cancer risk were calculated using fixed- or random-effects model based on the degree of heterogeneity among studies.

Results

No significant association between the ATM D1853N polymorphism and breast cancer risk was observed in overall analysis (GA versus GG: OR = 1.18; 95% CI, 0.90-1.53; AA versus GG: OR = 0.77; 95% CI, 0.58-1.03; dominant model: OR = 1.16; 95% CI, 0.89-1.51; and recessive model: OR = 0.78; 95% CI, 0.59-1.04, respectively).

Conclusion

Our results indicate that ATM D1853N polymorphism is not a risk factor for developing breast cancer.     

GSTP1 Ala114Val polymorphism and colorectal cancer risk: a meta-analysis

Studies investigating the association between cytochrome glutathione S-transferase P1 (GSTP1) Ala114Val polymorphism and colorectal cancer (CRC) risk report conflicting results. The aim of this study was to quantitatively summarize the evidence for such a relationship. Two investigators independently searched the Medline, Embase, China National Knowledge Infrastructure, and Chinese Biomedicine databases. Summary odds ratios (ORs) and 95 % confidence intervals (95 % CIs) for GSTP1 polymorphism and CRC were calculated in a fixed effects model (the Mantel–Haenszel method) and a random effects model (the DerSimonian and Laird method) when appropriate. The pooled ORs were performed for co-dominant model (ValVal vs. AlaAla, AlaVal vs. AlaAla), dominant model (ValVal + AlaVal vs. AlaAla), and recessive model (ValVal vs. AlaVal + AlaAla). This meta-analysis included seven case–control studies, which included 3,173 CRC cases and 3,323 controls. Overall, the variant genotypes (ValVal and AlaVal) of the Ala114Val were not associated with CRC risk when compared with the wild-type AlaAla homozygote. Similarly, no associations were found in the dominant and recessive models. When stratifying for ethnicity, Hardy–Weinberg equilibrium in controls, study sample size, and source of controls, a significantly increased risk was observed among Asians (AlaVal vs. AlaAla, OR?=?1.67, 95 % CI?=?1.08–2.59; dominant model, OR?=?1.74, 95 % CI?=?1.14–2.67). No heterogeneity or publication bias was found in the present study. This meta-analysis suggests that the GSTP1 Ala114Val polymorphism may not be associated with CRC risk, while the observed increase in risk of CRC may be due to small-study bias.     

Lack of association between MHTFR Glu429Ala polymorphism and breast cancer susceptibility: a systematic review and meta-analysis of 29 research studies

The association between MHTFR Glu429Val polymorphism and breast cancer risk are inconclusive. To derive a more precise estimation of the relationship, a meta-analysis was performed. A total of 29 studies including 8,649 cases and 18,672 controls were involved in this meta-analysis. Overall, no significant associations were found between MTHFR Glu429Ala polymorphism and breast cancer risk when all studies were pooled into the meta-analysis (Glu/Glu vs Ala/Ala: OR?=?0.891, 95 % CI?=?0.782–1.015; Glu/Ala vs Ala/Ala: OR?=?0.874, 95 % CI?=?0.760–1.006; dominant model: OR?=?0.885, 95 % CI?=?0.775–1.012; and recessive model: OR?=?0.989, 95 % CI?=?0.931–1.051). In the subgroup analysis by ethnicity, significantly elevated breast cancer risk was associated with Glu/Glu variant genotype in homozygote comparison and recessive genetic model (Glu/Glu vs Ala/Ala: OR?=?0.78, 95 % CI?=?0.63–0.97; Glu/Glu vs Glu/Ala: OR?=?0.92, 95 % CI?=?0.85–0.99; recessive model: OR?=?0.91, 95 % CI?=?0.85–0.97), while no significant associations were found for all comparison models in other ethnicity populations. In conclusion, this meta-analysis suggests that the MTHFR Glu429Ala polymorphism may be not associated with breast cancer development.     

Associations between MTHFR Ala222Val polymorphism and risks of hepatitis and hepatitis-related liver cancer: a meta-analysis

Chronic infection of viral hepatitis is the main cause of liver cancer. There were many studies assessing the associations of methylenetetrahydrofolate reductase (MTHFR) Ala222Val polymorphism with risks of hepatitis and hepatitis-related liver cancer, but no consistent results were reported. To investigate the associations of MTHFR Ala222Val polymorphism with risks of hepatitis and hepatitis-related liver cancer, we performed a meta-analysis of published case–control studies. Eligible studies were searched from PubMed and Chinese National Knowledge Infrastructure (CNKI) databases. The odds ratio (OR) and corresponding 95 % confidence interval (95 %CI) were used to assess the associations. Twenty-one individual studies with a total of 8,187 subjects were included. Overall, MTHFR Ala222Val polymorphism was not significantly associated with risks of liver cancer, hepatitis-related liver cancer, and non-hepatitis-related liver cancer. However, MTHFR Ala222Val polymorphism was significantly associated with risk of hepatitis infection (Val vs. Ala: OR?=?1.15, 95 %CI 1.01–1.32, P?=?0.03; ValVal/AlaVal vs. AlaAla: OR?=?1.37, 95 %CI 1.11–1.68, P?=?0.003). Therefore, MTHFR Ala222Val polymorphism is significantly associated with risk of hepatitis infection but not liver cancer. More studies are needed to further assess the association between MTHFR Ala222Val polymorphism and hepatitis-related liver cancer.     

IGFBP3 A-202C polymorphism and breast cancer susceptibility: a meta-analysis involving 33,557 cases and 45,254 controls

Published data on the association between insulin-like growth factor binding protein 3 (IGFBP3) A-202C polymorphism and breast cancer risk are inconclusive. To derive a more precise estimation of the relationship, a meta-analysis was performed. Crude ORs with 95% CIs were used to assess the strength of association between them. A total of 27 studies including 33,557 cases and 45,254 controls were involved in this meta-analysis. Overall, significantly elevated breast cancer risk was associated with IGFBP3 C allele when all studies were pooled into the meta-analysis (CC vs. AA: OR = 1.06, 95% CI = 1.02–1.11; dominant model: OR = 1.04, 95% CI = 1.00–1.07). In the subgroup analysis by ethnicity, significantly increased risk was found for Caucasians (AC vs. AA: OR = 1.04, 95% CI = 1.00–1.08; CC vs. AA: OR = 1.05, 95% CI = 1.01–1.10; dominant model: OR = 1.04, 95% CI = 1.00–1.08) and Asians (CC vs. AA: OR = 1.35, 95% CI = 1.02–1.78; recessive model: OR = 1.38, 95% CI = 1.05–1.82). When stratified by study design, statistically significantly elevated risk was found among population-based studies (CC vs. AA: OR = 1.06, 95% CI = 1.01–1.11; dominant model: OR = 1.03, 95% CI = 1.00–1.07). In the subgroup analysis by menopausal status, no statistically significantly increased risk was found among premenopausal or postmenopausal women. In conclusion, this meta-analysis suggests that the IGFBP3 C allele is a low-penetrant risk factor for developing breast cancer.     

MTHFR C677T polymorphism associated with breast cancer susceptibility: a meta-analysis involving 15,260 cases and 20,411 controls

Published data on the association between MTHFR C677T polymorphism and breast cancer risk are inconclusive. To derive a more precise estimation of the relationship, a meta-analysis was performed. Medline, PubMed, Embase, and Web of Science were searched. Crude ORs with 95% CIs were used to assess the strength of association between the MTHFR C677T polymorphism and breast cancer risk. The pooled ORs were performed with co-dominant model (CT vs. CC, TT vs. CC), dominant model (CT + TT vs. CC), and recessive model (TT vs. CC + CT), respectively. A total of 37 studies including 15,260 cases and 20,411 controls were involved in this meta-analysis. Overall, significantly elevated breast cancer risk was associated with TT variant genotype in homozygote comparison and dominant genetic model when all studies were pooled into the meta-analysis (TT vs. CC: OR = 1.11, 95% CI = 1.01–1.23; dominant model: OR = 1.04, 95% CI = 1.00–1.09). In the subgroup analysis by ethnicity, significantly increased risks were found for TT allele carriers among Asians (TT vs. CC: OR = 1.18, 95% CI = 1.04–1.35; recessive model: OR = 1.15, 95% CI = 1.03–1.29). When stratified by study design, statistically significantly elevated risk was found in hospital-based studies (TT vs. CC: OR = 1.18, 95% CI = 1.02–1.38; recessive model: OR = 1.17, 95% CI = 1.05–1.29). In the subgroup analysis by menopausal status, statistically significantly increased risk was found among postmenopausal women (CT vs. CC: OR = 1.12, 95% CI = 1.02–1.23; dominant model: OR = 1.11, 95% CI = 1.01–1.22). In conclusion, this meta-analysis suggests that the MTHFR T allele is a low-penetrant risk factor for developing breast cancer.     

Association between MSH6 G39E polymorphism and cancer susceptibility: a meta-analysis of 7,046 cases and 34,554 controls

Although the MSH6 G39E polymorphism is considered to be a biomarker of hereditary nonpolyposis colorectal cancer (HNPCC), many studies have also found that it may be associated with increased risks of lung, breast, and pancreatic cancers, with inconsistent estimated risks. Here, we performed a comprehensive meta-analysis to assess the associations. We searched published literature from MEDLINE, EMBASE, and CNKI for eligible publications up to Dec. 5, 2013. The final meta-analysis included 10 published studies of 7,046 cases and 34,554 controls for MSH6 G39E. Overall, no significant association was detected between MSH6 G39E and cancer risk (GE + EE vs. GG: OR?=?0.92, 95 % CI?=?0.81–1.04). Further stratifications, however, showed the MSH6 G39E variant is associated with a decreased risk for cancer in population-based studies (GE + EE vs. GG: OR?=?0.80, 95 % CI?=?0.60–0.91), and in studies having utilizing large sample sizes (GE + EE vs. GG: OR?=?0.87, 95 % CI?=?0.85–0.99). No potential publication bias was found among studies. The present meta-analysis identified some statistical evidence for an association between the MSH6 G39E polymorphism and risk of cancer. However, this finding warrants additional validation in large and well-designed prospective studies in the future.     

No association between CYP17 T-34C polymorphism and breast cancer risk: a meta-analysis involving 58,814 subjects

Breast cancer is one of the most common malignant tumors worldwide. To date, many articles have evaluated the association between Cytochrome P450c17 (CYP17) T-34C polymorphism and breast cancer risk. However, the results remain inconclusive. In order to derive a more precise estimation of the association, a meta-analysis was performed in this study. By searching Medline, ISI Web of Knowledge, Cochrane, ScienceDirect, EBSCO, CNKI, and SinoMed databases, 43 studies including 26,008 cases and 32,806 controls were collected for CYP17 T-34C polymorphism. Crude ORs with 95% CIs were used to assess the strength of association between CYP17 T-34C polymorphism and breast cancer risk. The pooled ORs were performed for codominant model, dominant model, and recessive model, respectively. Overall, no significant associations between CYP17 T-34C polymorphism and breast cancer susceptibility were found for TT versus CC (OR = 0.96; 95% CI: 0.89–1.05), TC versus CC (OR = 0.97; 95% CI: 0.89–1.06), TT + TC versus CC (OR = 0.97; 95% CI: 0.89–1.05) and TT versus TC + CC (OR = 0.98; 95% CI: 0.93–1.03). In the stratified analysis by ethnicity, menopausal status, and sources of controls, significant associations were still not detected in all genetic models. In conclusion, this meta-analysis strongly suggests that CYP17 T-34C polymorphism is not associated with breast cancer risk.     

Lack of association between CYP17 MspA1 polymorphism and breast cancer risk: a meta-analysis of 22,090 cases and 28,498 controls

Epidemiological studies have evaluated the association between CYP17 MspA1 polymorphism and breast cancer risk. However, the results remain conflicting rather than conclusive. To derive a more precise estimation of the relationship, we performed this meta-analysis. Systematic searches of the PubMed and Medline databases were performed. A total of 35 studies including 22,090 cases and 28,498 controls were identified. Genotype distributions of CYP17 in the controls of all studies were in agreement with Hardy–Weinberg equilibrium (HWE) except for three studies. When all 35 studies were pooled into the meta-analysis, there was no evidence for significant association between CYP17 MspA1 polymorphism and breast cancer risk (for A1/A2 vs. A1/A1: OR = 1.00, 95% CI = 0.96–1.04; for A2/A2 vs. A1/A1: OR = 1.03, 95% CI = 0.97–1.08; for dominant model: OR = 1.01, 95% CI = 0.97–1.05; for recessive model: OR = 1.03, 95% CI = 0.98–1.08). In the subgroup analyses by ethnicity, menopausal status and source of controls, no significant associations were found in all genetic models. When sensitivity analyses were performed by excluding HWE-violating studies, all the results were not materially altered. In summary, the meta-analysis strongly suggests that CYP17 MspA1 polymorphism is not associated with increased breast cancer risk.     

Lack of association between HER2 codon 655 polymorphism and breast cancer susceptibility: meta-analysis of 22 studies involving 19,341 subjects

Epidemiological studies have investigated the association between HER2 codon 655 polymorphism and breast cancer susceptibility. However, the results are still inconclusive. To obtain a more precise estimation of the relationship, this meta-analysis was performed. A total of 22 studies including 9,209 cases and 10,132 controls were collected. The strength of association between HER2 codon 655 polymorphism and breast cancer susceptibility was assessed by calculating crude ORs with 95% CIs. When all the 22 studies were pooled into the meta-analysis, there was no evidence for significant association between HER2 codon 655 polymorphism and breast cancer susceptibility (for Val/Ile vs. Ile/Ile: OR = 1.069, 95% CI = 0.976–1.172; for Val/Val vs. Ile/Ile: OR = 1.191, 95% CI = 0.922–1.538; for dominant model: OR = 1.093, 95% CI = 0.991–1.206; for recessive model: OR = 1.141, 95% CI = 0.902–1.444). In the subgroup analysis by the source of controls and ethnicity, no significant increased risk was found in all genetic models. However, the current results indicated the modest association between the HER2 Ile655Val polymorphism and Asian population (Val/Ile vs. Ile/Ile: OR = 1.207, CI = 1.006–1.450). In summary, the meta-analysis suggests that HER2 codon 655 polymorphism is not associated with the increased breast cancer risk.     

Association between FAS 1377G>A polymorphism and breast cancer susceptibility: a meta-analysis

Published studies on the association between FAS 1377G>A polymorphism and breast cancer susceptibility were inconclusive. To derive a more precise assessment of the association, a meta-analysis of published studies was performed. PubMed, Embase, and Web of Science were searched for eligible studies on the association between FAS 1377G>A polymorphism and breast cancer susceptibility. Five studies with a total of 2,905 cases and 3,090 controls were included into the meta-analysis. Overall, FAS 1377G>A polymorphism was significantly associated with increased susceptibility to breast cancer (for AA versus GG: odds ratio (OR)?=?1.39, 95 % confidence interval (95 % CI) 1.12–1.72, P?=?0.003; for AA/GA versus GG: OR?=?1.18, 95 % CI 1.06–1.32, P?=?0.004; for AA versus GG/GA: OR?=?1.28, 95 % CI 1.05–1.56, P?=?0.015). Subgroup analysis by ethnicity found that FAS 1377G>A polymorphism was significantly associated with increased susceptibility to breast cancer in Asians (for AA versus GG: OR?=?1.48, 95 % CI 1.16–1.89, P?=?0.001; for AA/GA versus GG: OR?=?1.24, 95 % CI 1.06–1.46, P?=?0.008; for AA versus GG/GA: OR?=?1.35, 95 % CI 1.08–1.69, P?=?0.008), but the association was not found in Caucasians. Therefore, the findings of the meta-analysis suggest that FAS 1377G>A polymorphism is significantly associated with increased susceptibility to breast cancer in Asians.     

CYP1A1 Ile462Val polymorphism and susceptibility to lung cancer: a meta-analysis based on 32 studies

Lung cancer is the second most common human malignant disease and the leading cause of cancer-related mortality worldwide. The effect of CYP1A1 IleVal polymorphism on susceptibility to lung cancer has been researched extensively over the last two decades. However, controversial results were obtained. To provide a more robust estimate of the effect, a meta-analysis was carried out. We systematically searched the PubMed database for studies published before August 2010, without language restriction. On the basis of our search criteria, a total of 32 studies (5126 patients and 6974 controls) were included in the meta-analysis. Overall, CYP1A1 IleVal polymorphism is associated with lung cancer risk (GG vs. AG+AA: odds ratio=1.61, 95% confidence interval: 1.19-2.17; GG vs. AA: odds ratio=1.70, 95% confidence interval: 1.23-2.35). Ethnic subgroup analyses showed that a significant association was found in Asians, but not in Africans, Caucasians, or other populations. In subgroup analyses by histology, the result is not reliable. In conclusion, this meta-analysis suggests that the CYP1A1 IleVal polymorphism might play a modest role in susceptibility to lung cancer, especially in Asians.     

SULT1A1 R213H polymorphism and breast cancer risk: a meta-analysis based on 8,454 cases and 11,800 controls

The SULT1A1 R213H polymorphism is suggested to be implicated in the development and progression of breast cancer. However, the published findings are inconsistent. We therefore performed a meta-analysis of 8,454 breast cancer cases and 11,800 controls from 14 published case–control studies. We used odds ratios (ORs) with 95% confidence intervals (CIs) to assess the strength of the association of the R213H polymorphism with breast cancer risk. Overall, our results suggested that there is no significant relationship between SULT1A1 R213H polymorphism and the risk of breast cancer. However, further ethnic population analysis revealed a significantly increased risk of breast cancer for HH allele carriers among Asians (for HH vs. RR: OR = 2.27, 95% CI = 1.11–4.63, P _{heterogeneity} = 0.63; for the recessive model: OR = 2.03, 95% CI = 1.00–4.41, P _{heterogeneity} = 0.62). Taken together, this meta-analysis suggests that the SULT1A1 R213H may be a low-penetrant risk factor for developing breast cancer in Asian population.     

CTLA-4+49A／G基因多态性与乳腺癌易感性的Meta分析

目的 探讨细胞毒性T淋巴细胞相关抗原4（CTLA-4）+49A／G基因多态性与乳腺癌易感性的关系。方法 计算机检索PubMed、MEDLINE、Web of Science、EMBASE、中国知网及万方等数据库,检索时间截止于2014年6月。收集关于CTLA-4+49A／G基因多态性与乳腺癌易感性关系的研究,由2名评价者按照纳入和排除标准独立选择文献、提取资料、评价质量。采用RevMan 5.1软件进行Meta分析,计算比值比（OR）及其95％可信区间（CI）并行敏感性分析和发表偏倚评估。结果 最终纳入5篇文献,包括3237例乳腺癌患者和3242例对照人群。纳入数据在AA vs. GG、AG vs. GG、AG／AA vs. GG和A vs. G基因型的比较中均无异质性。各模型Meta分析结果显示,CTLA-4+49A／G基因多态性与乳腺癌易感性有统计学意义（AA vs.GG：OR=1.49,95％CI：1.10～2.00;AG vs.GG：OR=1.23,95％CI：1.10～1.37;AG／AA vs.GG：OR=1.27,95％CI：1.14～1.40;A vs.G：OR=1.19,95％CI：1.11～1.29）。结论 CTLA-4+49A／G基因多态性与乳腺癌易感性有关,值得进一步研究。