Has-miR-146a polymorphism (rs2910164) and cancer risk: a meta-analysis of 19 case–control studies

Epidemiological studies have evaluated the association between has-miR-146a polymorphism (rs2910164) and cancer risk. However, published data are still inconclusive. Here, we performed a meta-analysis to assess the relationship between has-miR-146a polymorphism (rs2910164) and cancer susceptibility until May 8, 2010. Nineteen published case–control studies including a total of 10,496 cases and 12,885 controls were acquired. Overall, Increased cancer risk was found in domain model (OR = 1.18, 95% CI: 1.03–1.35) rather than in other genetic models when all studies were pooled into the meta-analysis. Stratified analysis shown that significant association between rs2910164 polymorphism and cancer susceptibility was present in Asians (OR = 1.14, 95% CI: 1.01–1.29 for CG vs. CC; OR = 1.19, 95% CI: 1.03–1.39 for GG + CG vs. CC), but not in Caucasian populations. In the subgroup analysis by cancer types, no significantly increased risk of breast, gastric, prostate or bladder cancer were found in any of the genetic models. In summary, this meta-analysis suggests that has-miR-146a polymorphism (rs2910164) is associated with increased cancer susceptibility in Asians. However, further well-designed studies with large sample size will be necessary to validate the risk identified in the current meta-analysis.     

Survivin promoter ?31G/C (rs9904341) polymorphism and cancer susceptibility: a meta-analysis

This study aimed to perform a meta-analysis to assess the association of survivin −31 G/C promoter polymorphism and cancer risk. Thirteen case–control studies identified through PubMed and published between 2007 and 2011 with a total of 3329 cancer cases and 3979 controls were included in this meta-analysis. Odds ratio (OR) and 95% confidence interval (95% CI) were used to investigate the strength of the association. Overall, the pooled analysis showed that survivin −31C allele was associated with 1.27 fold increased risk of cancer compared with the −31G allele (95% CI = 1.091–1.479; random model). Subgroup analyses based on type of cancer and ethnicity were also performed, and results indicated that survivin −31G/C polymorphism was not associated with risk of gastric cancer [OR = 2.879; 95% CI = 0.553–15.004) for CC vs.GG] and esophageal cancer [OR = 1.352; 95% CI = 0.494–3.699) for CC vs.GG]. Stratification on the basis of ethnicity showed that the risk due to −31C allele was significant only in Asian population [OR = 1.894; 95% CI = 1.206–2.974 for CC vs.GG]. The present meta-analysis suggests an important role of survivin −31 G/C polymorphism with cancer risk especially in Asian population. However, further studies with larger sample size are required to draw more comprehensive conclusions and provide more precise evidence in individual cancers.     

Current evidences on vascular endothelial growth factor polymorphisms and breast cancer susceptibility

Several polymorphisms of vascular endothelial growth factor (VEGF) such as 936 C/T, −2578 C/A, −406 C/T, and −1154 G/A polymorphism have been identified. Published data on the association between VEGF polymorphisms and breast cancer risk are inconclusive. To derive a more precise estimation of the relationship, a meta-analysis was performed. Crude OR with 95% CI was used to assess the strength of association between them. For VEGF 936C/T polymorphism, a total of 10 studies including 7,685 cases and 7,915 controls were involved in this meta-analysis. Overall, no significant associations were found between VEGF 936C/T polymorphism and breast cancer risk when all studies pooled into the meta-analysis (TC vs. CC: OR = 0.904, 95% CI = 0.797–1.024; TT vs. CC: OR = 0.974, 95% CI = 0.786–1.205; dominant model: OR = 0.911, 95% CI = 0.811–1.024; and recessive model: OR = 0.991, 95% CI = 0.801–1.226). In the subgroup analysis by ethnicity, still no significant associations were found for all comparison models. For −2578 C/A, −406 C/T, and −1154 G/A polymorphism, there were too limited data to perform a meta-analysis. In conclusion, this meta-analysis suggests that the VEGF 936C/T 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.     

Association between ATM polymorphisms and cancer risk: a meta-analysis

To date, epidemiological studies have assessed the association between Ataxia-telangiectasia mutated (ATM) gene polymorphisms and cancer risk, including lung cancer, breast cancer, glioma and pancreatic cancer. However, the results of these studies remain controversial. We aimed to examine the associations between two SNPs (rs664143 and rs664677) and cancer risk by conducting a meta-analysis of case–control studies. A total of 12 publications were included in this meta-analysis, 8 for rs664143 and 7 for rs664677. Overall, rs664143 heterozygote carriers turned out to be associated with cancer risk (OR = 1.18, 95% CI 1.02–1.36). In the subgroup analysis by cancer type, we observed that the ATM rs664143 polymorphism was significantly associated with lung cancer risk (GA vs. GG: OR = 1.48, 95% CI 1.18–1.85, AA vs. GG: OR = 1.51, 95% CI 1.18–1.93) and rs664677 polymorphism was associated with decreased lung cancr risk and increased breast cancer risk (for lung cancer: TC vs. TT: OR = 0.76, 95% CI 0.62–0.92, CC vs. TT: OR = 0.80, 95% CI 0.64–0.99 and for breast cancer: TC vs. TT: OR = 1.42, 95% CI 1.17–1.73, CC vs. TT: OR = 1.51, 95% CI 1.21–1.87). In the subgroup analysis by region, we also observed that individuals with ATM rs664143 GA or AA genotype had an obvious increased cancer risk among Asian people (GA vs. GG: OR = 1.40, 95% CI 1.20–1.63, AA vs. GG: OR = 1.37, 95% CI 1.16–1.62). In conclusion, ATM rs664143 polymorphism was associated with cancer susceptibility. ATM rs664143 polymorphism was significantly associated with lung cancer risk. ATM rs664677 polymorphism was associated with decreased lung cancer risk as well as increased breast cancer risk.     

Association of p53 codon 72 polymorphism with prostate cancer: a meta-analysis

Relationship of prostate cancer with the polymorphism of p53 codon 72 was reported with inconsistent results. The purpose of this study was to quantitatively evaluate the association between p53 codon 72 polymorphism and prostate cancer susceptibility. We performed an extensive search of relevant studies and made a meta-analysis, including 8 studies with 815 prostate cancer cases and 1047 controls. The combined results showed that there were no significant differences in genotype distribution between prostate cancer cases and control on the basis of all studies, CC/GC versus GG (OR = 1.24, 95% CI: 0.93–1.65), GG/GC versus CC (OR = 0.96, 95% CI: 0.60–1.55), GC versus GG (OR = 1.27, 95% CI: 0.91–1.77), CC versus GG (OR = 1.25, 95% CI:0.74–2.12), GC versus CC (OR = 1.09, 95% CI: 0.63–1.87). When stratifying for the race, there were also no statistically significant differences in genotype distribution between prostate cancer cases and controls. This meta-analysis did not provide an evidence of confirming association between p53 codon 72 polymorphism and prostate cancer.     

Quantitative assessment of the effect of MTHFR polymorphisms on the risk of lung carcinoma

Published studies on the relationships between 5,10-methylenetetrahydrofolate reductase (MTHFR) polymorphisms and lung cancer risk have been conflicting. To derive a more precise estimation of the relationship, a meta-analysis was performed. Odds ratios (ORs) with 95% confidence intervals (CIs) were estimated to assess the association between MTHFR C677T and A1298C polymorphisms and lung cancer risk. A total of 15 studies including 10,753 cases and 11,275 controls described C677T genotypes, among which 11 articles totalling 6,161 cases and 7,684 controls described A1298C genotypes, were also involved in this meta-analysis. Overall, no significantly elevated lung cancer risk was found in any genetic models when all studies were pooled. For C677T polymorphism: (TT vs. CC: OR = 1.17, 95% CI = 0.97–1.42; TC vs. CC: OR = 1.06, 95% CI = 0.94–1.20; dominant model: OR = 1.09, 95% CI = 0.96–1.24; and recessive model: OR = 1.08, 95% CI = 0.95–1.24); for A1298C polymorphism: (CC vs. AA: OR = 1.04, 95% CI = 0.91–1.19; AC vs. AA: OR = 0.98, 95% CI = 0.91–1.06; dominant model: OR = 0.99, 95% CI = 0.92–1.06; and recessive model: OR = 1.05, 95% CI = 0.92–1.20). In the subgroup analyses, the results showed that 677T varients could decrease lung cancer risk in female (OR = 0.63, 95% CI = 0.41–0.95, P-value = 0.03, 677CC as reference). No evidence of any associations of MTHFR A1298C polymorphism with lung cancer was found in overall or subgroup analyses. Our meta-analysis supports that the common polymorphisms of C677T and A1298C in MTHFR gene are not susceptibility gene for lung cancer from currently available evidence.     

Association between α1-antichymotrypsin signal peptide −15A/T polymorphism and the risk of Alzheimer’s disease: a meta-analysis

No consensus has been recently reached at the relationship between the α1-antichymotrypsin (ACT) signal peptide −15A/T polymorphism and Alzheimer’s disease (AD) risk. Thus, our study aimed to better assess this association by performing a meta-analysis, including 4,212 cases and 4,039 controls from 29 studies. Odds ratios (ORs) with the 95% confidence interval (CI) were used to assess the strength of relationship between ACT −15A/T polymorphism and AD risk. Overall, a borderline statistically significant association was detected under recessive model comparison in all subjects (AA vs. AT+TT: OR 1.12, 95% CI 1.01–1.25, P = 0.04). But in subgroup analysis by ethnicity, no significant association was found in Caucasians, Asians, or Africans. Moreover, after exclusion of one study which affect the heterogeneity, the ACT A allele and AA genotype were statistically associated with late-onset AD (LOAD) risk (AA vs. TT: OR 1.25, 95% CI 1.06–1.48, P = 0.007, A vs. T: OR 1.12, 95% CI 1.03–1.21, P = 0.008), especially in Caucasians. In conclusion, our study suggests that the common α1-antichymotrypsin signal peptide −15A/T polymorphism may not be a major risk factor for AD. However, the polymorphism is capable of increasing LOAD risk.     

Association of IL-10-1082 promoter polymorphism with susceptibility to gastric cancer: evidence from 22 case–control studies

Evidence suggested that interleukin-10 (IL-10) may be involved in the etiology of gastric cancer (GC). However, epidemiological studies on the association between IL-10-1082 promoter polymorphism and GC risk are still ambiguous. To quantitatively summarize the evidence for such a relationship, we performed a meta-analysis. Systemic searches of the PubMed and Medline databases were performed, with the last report up to July 2011. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association. 22 independent studies including 4,289 cases and 5,965 controls were involved in this meta-analysis. Obvious association was found when all studies were pooled into the meta-analysis (A vs. G: OR = 0.489, 95% CI = 0.335–0.713, P < 0.001). In the subgroup analysis by ethnicity, we observed significant associations in Asians (A vs. G: OR = 0.651, 95% CI = 0.506–0.838, P = 0.001; AA vs. GG: OR = 0.482, 95% CI = 0.328–0.709, P < 0.001; AA/AG vs. GG: OR = 0.711, 95% CI = 0.527–0.959, P = 0.025; AA vs. AG/GG: OR = 0.701, 95% CI = 0.520–0.944, P = 0.019) and Caucasians (A vs. G: OR = 0.365, 95% CI = 0.140–0.949, P = 0.039), but not in Latino population. When stratified analysis by control sources, our results indicated that A allele decreased approximately 48% risk among population-based studies (A vs. G: OR = 0.524, 95% CI = 0.374–0.733, P < 0.001). Taken together, this meta-analysis suggests that IL-10-1082 polymorphism is associated with GC risk.     

Quantitative assessment of the effect of ABCA1 R219K polymorphism on the risk of coronary heart disease

In the past decade, a number of case-control studies have been conducted to investigate the relationship between the ATP-binding cassette transporter A1 (ABCA1) R219K polymorphism and coronary heart disease (CHD). However, the results have been inconclusive. The purpose of the present study is to investigate whether this polymorphism confers significant susceptibility to CHD using a meta-analysis. PubMed, Embase and CNKI database were searched to get the genetic association studies. Then data were extracted. Pooled odds ratio (OR) and 95% confidence interval (CI) were calculated. Moreover, subgroup and sensitive analysis were performed. In total, 9,437 cases and 16,270 controls were involved in the meta-analysis. The K219 was significantly associated with CHD (OR = 0.80, 95% CI 0.69–0.92, P(Z) = 0.001). However, significant heterogeneity was present. Further subgroup analysis suggested ethnicity explained much heterogeneity. In Asians, K219 showed a strong protective effect and the pooled OR was 0.69 (95% CI 0.55–0.86 P(Z) = 0.0009). While in Caucasians the result was not significant (OR = 0.87, 95% CI 0.73–1.04, P(Z) = 0.12). In conclusion, our results indicate that the ABCA1 R219K polymorphism is a protective factor of CHD in Asians, but not in Caucasians.     

Association of a LSP1 gene rs3817198T>C polymorphism with breast cancer risk: evidence from 33,920 cases and 35,671 controls

Published data on the association between lymphocyte-specific protein 1 (LSP1) rs3817198T>C polymorphism and breast cancer risk are inconclusive. Hence, we conducted a meta-analysis of the LSP1 gene and risk of breast cancer to obtain the most reliable estimate of the association. PubMed, Embase and Web of Science databases were searched. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were extracted and pooled to assess the strength of the association between the LSP1 rs3817198T>C polymorphism and risk of breast cancer. A total of seven eligible studies including 33,920 cases and 35,671 controls based on the search criteria were involved in this meta-analysis. The distributions of genotypes in the controls were all in agreement with Hardy–Weinberg equilibrium. We observed that the LSP1 rs3817198T>C polymorphism was significantly correlated with breast cancer risk when all studies were pooled into the meta-analysis (the allele contrast model: OR = 1.06, 95% CI = 1.04–1.08; the homozygote codominant: OR = 1.14, 95% CI = 1.01–1.28). In the stratified analysis by ethnicity, significant association was observed in Caucasians for CC versus TT homozygote codominant model (OR = 1.25; 95% CI = 1.03–1.52) and for the recessive model (OR = 1.22; 95% CI = 1.02–1.47). There was significant association observed in Africans for CC versus TT homozygote codominant model (OR = 0.45; 95% CI = 0.22–0.92) and for the recessive model (OR = 0.43; 95% CI=0.22–0.88). Also, significant association was observed in mixed ethnicities for CC versus TT homozygote codominant model (OR = 1.12; 95% CI = 1.05–1.19). When stratified by study design, statistically significantly elevated risk was found in nested case–control studies (CC vs. TT: OR = 1.12, 95% CI = 1.05–1.19). But no significant association was observed for all comparison models between LSP1 rs3817198T>C polymorphism and breast cancer risk in hospital-based and people-based studies. When stratified by BRCA1 mutation carriers status, statistically significantly elevated risk was found in this meta-analysis (the allele contrast model: OR = 1.07, 95% CI = 1.01–1.14; the dominant model: OR = 1.09, 95% CI = 1.00–1.18). And significant association was found in the BRCA2 mutation carriers in the allele contrast (OR = 1.11, 95% CI = 1.03–1.20), the homozygote codominant (OR = 1.23, 95% CI = 1.04–1.47), the heterozygote codominant (OR = 1.12, 95% CI = 1.00–1.25) and the dominant models (OR = 1.14, 95% CI = 1.03–1.27). There was significant association between LSP1 rs3817198T>C polymorphism and breast cancer risk in BRCA1 and BRCA2 positive cohort in all comparison models (the allele contrast model: OR = 1.08, 95% CI = 1.03–1.13; CC vs. TT: OR = 1.16, 95% CI = 1.05–1.29; TC vs. TT: OR = 1.09, 95% CI = 1.01–1.16; the dominant model: OR = 1.10, 95% CI = 1.03–1.17; the recessive model: OR = 1.12, 95% CI = 1.01–1.23). In conclusion, this meta-analysis suggests that the LSP1 rs3817198T>C polymorphism is a low-penetrant risk factor for developing breast cancer but may not be in Africans.     

Association between two genetic polymorphisms of the renin-angiotensin-aldosterone system and diabetic nephropathy: a meta-analysis

The widely studied candidate genes of the renin-angiotensin-aldosterone system, angiotensinogen (AGT), and angiotensin II receptor type 1 (AGTR1), are implicated in the development of diabetic nephropathy (DN). A number of studies have evaluated the association between the functional polymorphisms, AGT M235T and AGTR1 A1166C, and DN risk with conflicting results. The present meta-analysis was performed to estimate the overall risk of these polymorphisms associated with DN on 4,377 DN cases and 4,905 controls from 34 published case–control studies by searching electronic databases and reference lists of relevant articles. We examined the association between each polymorphism and the risk of DN by odds ratio (OR) with 95% confidence intervals (95% CI) and calculated the ORs for different genetic model. In addition, stratification analysis by ethnicity and diabetes mellitus (DM) type was conducted. In this meta-analysis, we failed to find any significant main effects in both overall analysis and stratified analysis for the AGT M235T. However, the overall analysis detected a significant association between the AGTR1 A1166C and the risk of DN for the CC compared with the AA and dominant genetic model (CC vs. AA: OR = 2.10, 95% CI: 1.00–4.44; dominant model: OR = 2.11, 95% CI: 1.06–4.23). In subgroup analysis, only patients with T2DM showed significant association for CC vs. AA model and dominant model (CC vs. AA: OR = 3.31, 95% CI: 1.21–9.08; dominant model: OR = 3.50, 95% CI: 1.41–8.69). This study suggests that the AGTR1 A1166C polymorphism may contribute to DN development, particularly in T2DM patients.     

Meta-analyses of the effect of cytochrome P450 2E1 gene polymorphism on the risk of head and neck cancer

Many studies have investigated the association between the CYP2E1 5′-flanking region (RsaI/PstI) polymorphism and head and neck cancer susceptibility, but the results were conflicting. In this meta-analysis, we assessed 24 published studies involving 12,562 subjects of the association between CYP2E1 RsaI/PstI polymorphism and head and neck cancer risk. Using the fixed effects model, we found significant association between PstI/RsaI polymorphism and head and neck cancer risk [OR = 1.11 (95%CI: 1.00–1.22) for c2 allele (P = 0.04) and OR = 1.57 (95% CI: 1.14–2.15) for c2 homozygous (P = 0.006) compared with wild type homozygote]. Significant results were also found in East Asians and Mix populations when stratified by ethnicity. However, no significant associations were found for Caucasians in all genetic models. Stratified analyses according to source of controls, significant associations were found only in hospital base controls. In the subgroup analyses by tumor types, significant association was detected only in oral cancer group, while no significant associations among laryngeal- or pharyngeal- cancer subgroup. This meta-analysis suggests that the CYP2E1 RsaI/PstI polymorphism may be a risk factor for head and neck cancer in Asians and Mix population, and that different carcinogenic processes involved in the genesis of various tumor types may exist.     

A genetic variant in microRNA-196a2 is associated with increased cancer risk: a meta-analysis

MicroRNAs (miRNAs) are small non-coding RNA molecules that function as negative regulators of gene expression. Common genetic variants (single nucleotide polymorphisms, SNPs) in miRNA genes may alter their expression or maturation resulting in varied functional consequences. Until now, several studies had evaluated the association between the polymorphisms in the hsa-miR-196a2 rs11614913 and cancer risk in diverse populations and in multiple types of cancer, with contradictory outcomes. Therefore, here we performed a meta-analysis to address the association between this polymorphism and cancer risk. A total of nine studies involving 6,540 cases and 7,562 controls were retrieved based on PubMed. Our analysis demonstrated that hsa-miR-196a2 rs11614913 CC genotype significantly increased the cancer risk in homozygote comparison model compared to TT genotype (OR = 1.18; 95% CI, 1.01–1.68). Moreover, significant association of this polymorphism with breast cancer was found based on homozygote comparison model (OR = 1.30; 95% CI, 1.01–1.26) and dominant model (OR = 1.11; 95% CI, 1.01–1.23). In addition, hsa-miR-196a2 rs11614913 CC genotype was significantly associated with cancer risk in Chinese and Indian (OR = 1.21; 95% CI, 1.05–1.40), but not in Caucasians (OR = 1.03; 95% CI, 0.89–1.19). Taken together, our results indicate that the polymorphism of hsa-miR-196a2 rs11614913 is associated with cancer susceptibility, especially with breast cancer and in Chinese and Indian populations.     

<Emphasis Type="Italic">TP53</Emphasis> codon 72 polymorphism and colorectal cancer susceptibility: a meta-analysis

Colorectal cancer constitutes a significant proportion of the global burden of cancer morbidity and mortality. A number of studies have been conducted to explore whether TP53 codon 72 polymorphism is associated with colorectal cancer susceptibility. However, controversial results were obtained. In order to derive a more precise estimation of the relationship, we systematically searched Medline, Google scholar, and Ovid database for studies reported before May 2010. A total of 3603 colorectal cancer cases and 5524 controls were included. TP53 codon 72 polymorphism was not associated with colorectal cancer risk in all genetic models (for dominant model: OR = 0.99, 95% CI: 0.86–1.15; for recessive model: OR = 1.00, 95% CI: 0.81–1.23; for Arg/Pro vs. Arg/Arg: OR = 1.00, 95% CI: 0.87–1.15; for Pro/Pro vs. Arg/Arg: OR = 0.97, 95% CI: 0.76–1.25). In the subgroup analyses by ethnic groups and sources of controls, no significant associations were found in all models. Taken together, this meta-analysis suggested that the biologically usefulness of TP53 codon 72 polymorphism as a selection marker in colorectal cancer susceptibility may be very limited.     

The association between GSTM1 polymorphism and gastric cancer risk: a meta-analysis

Relationship of gastric cancer with the GSTM1 polymorphism was reported with inconsistent results. The objective of this study was to quantitatively evaluate the association between GSTM1 polymorphism and gastric cancer susceptibility. Relevant studies were identified from PubMed and references of retrieved articles. A meta-analysis was performed, which included 38 studies with 6,605 gastric cancer cases and 11,311 controls. The combined result based on all studies showed there was a significant link between GSTM1 null genotype and gastric cancer (OR = 1.20, 95%CI: 1.08–1.34). When stratifying for the race, the phenomenon was found that gastric cancer case had a significantly higher frequency of GSTM1 null genotype than control in Asians (OR = 1.27, 95%CI: 1.10–1.47). However, there was not enough evidence to show there was a significant difference in GSTM1 null genotype distribution between gastric cancer case and control in Caucasians (OR = 1.13, 95%CI: 0.96–1.32). This meta-analysis indicated that GSTM1 null genotype might be associated with increased gastric cancer risk in Asians. However, this meta-analysis did not provide an evidence of confirming association between GSTM1 polymorphism and gastric cancer in Caucasians.     

<Emphasis Type="Italic">FAS</Emphasis> −1,377 G/A polymorphism is associated with cancer susceptibility: evidence from 10,564 cases and 12,075 controls

Published data on the association between FAS −1,377 G/A polymorphism and cancer risk are inconclusive. To derive a more precise estimation of the relationship, a meta-analysis was performed. A total of 17 studies including 10,564 cases and 12,075 controls were involved in this meta-analysis. Overall, significantly elevated cancer risk was associated with AA variant genotype when all the eligible studies were pooled into the meta-analysis (for AA vs GG: OR = 1.19; 95% CI = 1.01–1.40; P _{heterogeneity} = 0.05; for recessive model: OR = 1.21; 95% CI = 1.04–1.41; P _{heterogeneity} = 0.05). In the subgroup analysis by ethnicity, borderline statistically significantly increased risks were found among Asians for recessive model (OR = 1.20; 95% CI = 1.00–1.45; P _{heterogeneity} = 0.01). In the subgroup analysis by population-based controls or hospital-based controls, statistically significantly increased risks were found among groups with population-based controls for AA versus GG (OR = 1.27; 95% CI = 1.02–1.58; P _{heterogeneity} = 0.05) and recessive model (OR = 1.25; 95% CI = 1.00–1.59; P _{heterogeneity} = 0.01). For breast cancer, borderline statistically significantly increased risks were found for AA versus GG (OR = 1.29; 95% CI = 1.00–1.67; P _{heterogeneity} = 0.41). In summary, this meta-analysis suggests that the FAS −1,377 G/A polymorphism is associated with cancer susceptibility. L. X. Qiu, J. Shi and H. Yuan contributed equally to this work and should be considered as co-first authors.     

Combined analysis of the association between p73 G4C14-to-A4T14 polymorphisms and cancer risk

P73 is a structural and functional homologue of p53, and plays an important role in regulating cell cycle and apoptosis. A potentially functional polymorphism (designated as p73 G4C14-to-A4T14) has been identified in a region in exon 2 of the p73 gene, which may theoretically form a stem-loop structure and thereby affect p73 expression. Several investigations have reported the correlation between p73 G4C14-to-A4T14 polymorphism and cancer risk. However, the results are inconclusive. To further assess the association between p73 polymorphism and cancer risk, we performed meta-analysis of the data sets obtained from 26 individual studies involving 8,148 cancer patients and 8,150 controls. The association between p73 G4C14-to-A4T14 polymorphism and cancer risk was determined by crude odd ratios (OR) with 95% CI (confidential interval). AT-allele carriers were found to have a significantly increased risk of cervical cancer (AT/GC vs. GC/GC, OR = 1.63, 95% CI = 1.14–2.33; AT/AT + AT/GC vs. GC/GC, OR = 1.49, 95% CI = 1.05–2.10), colorectal cancer (AT/AT vs. AT/GC + GC/GC, OR = 1.98, 95% CI = 1.25–3.12), head and neck cancer (AT/AT + AT/GC vs. GC/GC, OR = 1.44, 95% CI = 1.06–1.96) and other cancers (AT/AT vs. GC/GC, OR = 1.78, 95% CI = 1.24–2.57; AT/AT vs. AT/GC + GC/GC, OR = 1.80, 95% CI = 1.26–2.56). In the stratified analysis of ethnicity, a significantly elevated cancer risk was found in Caucasians (AT/AT + AT/GC vs. GC/GC, OR = 1.18, 95% CI = 1.08–1.30; allele AT vs. allele GC, OR = 1.15, 95% CI = 1.06–1.24). No significant association of p73 polymorphism with the cancer risk of smoking was detected by stratified analysis by smoking status. Together, our data suggest that the p73 G4C14-to-A4T14 may be a risk factor of cancer especially in Caucasians.     

Interleukin 1 beta −511 C/T gene polymorphism and susceptibility to febrile seizures: a meta-analysis

One previous meta-analysis found no evidence that interleukin 1 beta (IL-1β) −511 gene polymorphism was associated with febrile seizures (FS) by pooling a limited number of studies. However, it is necessary for the meta-analysis to reevaluate the relationship with more recent findings. Electronic databases were systematically searched for studies published before June 2011. Pooled odds ratios (OR) and 95% confidence interval (CI) were estimated by means of a genetic model free approach. Subgroup and sensitivity analyses were also performed. All statistical analyses were conducted using Stata 9.0. A total of eight studies, 728 FS cases and 1,223 controls, met the selection criteria. The results show a significant association between IL-1β −511 C/T gene polymorphism and FS (recessive genetic model TT vs. CC + CT: OR = 1.361, 95% CI: 1.065–1.738, P = 0.014). Subgroup analyses show a significant association in Asia (OR = 1.394, 95% CI: 1.005–1.935, P = 0.047), but not in Europe (OR = 1.387, 95% CI: 0.750–2.565, P = 0.298). IL-1β −511 C/T gene polymorphism may play a role in susceptibility to FS, especially in Asia. Geographic differences may be a critical factor in the risk of FS.     

<Emphasis Type="Italic">TGFBR1</Emphasis>*6A/9A polymorphism and cancer risk: a meta-analysis of 13,662 cases and 14,147 controls

Published data on the association between TGFBR1*6A/9A polymorphism and cancer risk are inconclusive. To derive a more precise estimation of the relationship, a meta-analysis was performed. A total of 32 studies including 13,662 cases and 14,147 controls were involved in this meta-analysis. Overall, significantly elevated cancer risks were associated with TGFBR1*6A in all genetic models (for allelic effect: OR = 1.11; 95% CI = 1.03–1.21; for 6A/6A vs. 9A/9A: OR = 1.30; 95% CI = 1.01–1.69; for 9A/6A vs. 9A/9A: OR = 1.08; 95% CI = 1.01–1.15; for dominant model: OR = 1.08; 95% CI = 1.02–1.15; for recessive model: OR = 1.29; 95% CI = 1.00–1.68). In the subgroup analysis by cancer types, significant associations were found in breast cancer (for allelic effect: OR = 1.16; 95% CI = 1.01–1.34) and ovarian cancer (for allelic effect: OR = 1.24; 95% CI = 1.00–1.54; for 6A/6A vs. 9A/9A: OR = 2.34; 95% CI = 1.03–5.33). However, no significant associations were found in colorectal cancer, bladder cancer, prostate cancer and lung cancer for all genetic models. In summary, this meta-analysis suggests that the TGFBR1*6A/9A polymorphism is associated with cancer susceptibility, increasing the risk of breast and ovarian cancer.     

MTHFR 677C>T and 1298A>C polymorphisms and male infertility risk: a meta-analysis

Epidemiological studies have evaluated the association between MTHFR 677C>T and 1298A>C polymorphisms and risk of male infertility. However, the results from the published studies on the association between these two MTHFR polymorphisms and male infertility risk are conflicting. To derive a more precise estimation of association between the MTHFR polymorphisms and risk of male infertility, we performed a meta-analysis. A comprehensive search was conducted to identify all case–control studies of MTHFR polymorphisms and male infertility risk. We used odds ratios (ORs) with 95% confidence intervals (CIs) to assess the strength of the association. Overall, we found that both 677C>T and 1298A>C polymorphisms were not significantly associated with male infertility risk. However, in stratified analysis by ethnicity, we found that the 677C>T polymorphism was significantly associated with the risk of male infertility in Asian population (TT vs. CC: OR = 1.57, 95% CI: 1.05–2.37, P = 0.03; TT vs. TC + CC: OR = 1.40, 95% CI: 1.05–1.86, P = 0.02; TT + TC vs. CC: OR = 1.34, 95% CI: 1.01–1.77, P = 0.04). Although some modest bias could not be eliminated, this meta-analysis suggested that the MTHFR 677T allele might be a low-penetrant risk factor for male infertility, especially in Asian population.