Association between the p73 exon 2 G4C14-to-A4T14 polymorphism and cancer risk: a meta-analysis

The TP53 homolog p73 is structurally and functionally similar to TP53 and plays an important role in modulating cell-cycle control, apoptosis, and cell growth. G4C14-to-A4T14 is the most commonly studied polymorphism of this gene for its association with risk of cancers, but the results are confusing rather than conclusive. We performed a meta-analysis using 21 eligible studies with a total of 7581 patients and 10,413 controls to summarize the data for an association between the p73 G4C14-to-A4T14 polymorphism and cancer risk. Compared with the common GC/GC genotype, the AT carriers (AT/GC, AT/AT) had a 1.18-fold elevated risk of cancer (95% confidence interval [CI]=1.11-1.25, p<0.00001) in a dominant genetic model as estimated in a fixed effect model. The effect of the G4C14-to-A4T14 polymorphism was further evaluated through stratification analysis. In four lung cancer studies, the variant genotypes had a significantly increased risk of lung cancer (odds ratio [OR]=1.16, 95% CI=1.04-1.28, p=0.005). Similar phenomena were also found in two squamous cell carcinoma of the head and neck studies (OR=1.32, 95% CI=1.12-1.56, p=0.0010), two oral cancer studies (OR=1.57, 95% CI=1.26-1.95, p<0.0001), and three colorectal cancer studies (OR=1.23, 95% CI=1.01-1.50, p=0.04). Increased risk of cancer associated with G4C14-to-A4T14 variant genotypes was pronounced in Caucasians (OR=1.21, 95% CI=1.11-1.31, p<0.00001), the Japanese population (OR=1.24, 95% CI=1.01-1.52, p=0.04), and the Korean population (OR=1.27, 95% CI=1.07-1.52, p=0.007). Our meta-analysis suggests that the p73 G4C14-to-A4T14 polymorphism genotypes (GC/AT+AT/AT) may be associated with an increased risk of cancer in most cancer types and ethnicities.     

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.     

No Association Between p73 G4C14-to-A4T14 Polymorphism and the Risk of Lung Cancer in a Korean Population

A member of the p53 family, p73 may play an important role in the development of lung cancer. Variations in the DNA sequence in the p73 gene can lead to alterations in the production of p73 and/or activity, which can affect an individual's susceptibility to lung cancer. To test this hypothesis, this study examined the association between the G4C14-to-A4T14 polymorphism in the p73 gene and the risk of lung cancer in a Korean population. The p73 G4C14-to-A4T14 genotypes were determined in 582 lung cancer patients and 582 healthy age- and gender-matched control subjects. Compared with the GC/GC genotype, the GC/AT and the AT/AT genotypes were not significantly associated with the risk of lung cancer [adjusted odds ratio (OR) = 1.08, 95% confidence interval (CI) = 0.84-1.38; and adjusted OR = 1.37, 95% CI = 0.83-2.24, respectively]. In addition, the risk estimate for the combined variant genotype (GC/AT + AT/AT) was similar to that of the GC/GC genotype (a dominant model for the AT allele, adjusted OR = 1.12, 95% CI = 0.88-1.41). These results suggest that the p73 G4C14-to-A4T14 polymorphism does not significantly affect susceptibility to lung cancer in the Korean population.     

The association between common genetic variant of microRNA-146a and cancer susceptibility

Published data on the association between microRNA-146a (miR-146a) G/C polymorphism and cancer susceptibility are inconclusive. To derive a more precise estimation of the relationship, a meta-analysis was performed. A total of 23 studies including 10,585 cases and 12,183 controls were used in the meta-analysis. Overall, no significant associations were found between miR-146a G/C polymorphism and cancer risk when all studies pooled into the meta-analysis (GC vs. CC: OR=1.08, 95% CI=0.94-1.24; GG vs. CC: OR=1.13, 95% CI=0.93-1.37; dominant model: OR=1.09, 95% CI=0.94-1.26). In the subgroup analysis by ethnicity, still no significant associations were found. In the subgroup analysis by cancer type, statistically significantly increased risks were found for papillary thyroid carcinoma (GC vs. CC: OR=3.44, 95% CI=1.86-6.34; GG vs. CC: OR=2.20, 95% CI=1.22-3.99; dominant model: OR=2.68, 95% CI=1.48-4.83). In the subgroup analysis by population-based controls or hospital-based controls, no statistically significantly increased risks were found. Despite some limitations, this meta-analysis suggests that the miR-146a G allele is a low-penetrant risk factor for papillary thyroid carcinoma development.     

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.     

Lack of Association between Cytotoxic T-lymphocyte Antigen 4 (CTLA-4) -1722T/C (rs733618) Polymorphism and Cancer Risk: From a Case-Control Study to a Meta-Analysis

Background

The association between cytotoxic T-lymphocyte antigen 4 (CTLA-4) gene -1722T/C polymorphism (rs733618) and cancer has been widely assessed, and a definitive conclusion remains elusive. We first performed a hospital based case-control study to measure this association of esophageal cancer with CTLA-4 -1722T/C polymorphism in Han Chinese population, and then carried out a meta-analysis to obtain a comprehensive evaluation for this issue.

Methodology/Principal Findings

This case-control study involved 629 esophageal squamous cell carcinoma (ESCC) cases and 686 age and gender well matched cancer-free controls. PCR-LDR (polymerase chain reaction-ligase detection reactions) method was used to identify genotypes. Meta-analysis was conducted by STATA (v12.0) software. This case-control study showed no significant difference in the genotype and allele distributions of CTLA-4 -1722T/C polymorphism between esophageal cancer cases and control subjects, in accord with the findings of the further meta-analysis in all genetic models. Evidence of large heterogeneity was observed among all eligible studies in the recessive model. Further subgroup analyses by ethnicity, cancer type and system, detected null associations in this meta-analysis.

Conclusion

This case-control study and the further meta-analysis, failed to identify the association between CTLA-4 -1722T/C polymorphism and cancer risk.     

Estrogen receptor-alpha gene PvuII (T/C) and XbaI (A/G) polymorphisms and endometriosis risk: A meta-analysis

Estrogen receptor-alpha (ER-α) polymorphisms have been hypothesized to be associated with the risk of endometriosis (EMT) development by many epidemiological studies, however, the available results were conflicting. To derive a more precise estimation of association between the ER-α PvuII (T/C) and XbaI (A/G) polymorphisms and risk of EMT, we performed a meta-analysis. Summary odds ratios (ORs) and 95% confidence intervals (95% CIs) for ER-α polymorphisms and EMT were calculated in a fixed-effects model and a random-effects model when appropriate. This meta-analysis included 20 case-control studies with 1752 cases and 1742 controls for PvuII polymorphism and 15 case-control studies with 1349 cases and 1411 controls for XbaI polymorphism. For PvuII T/C polymorphism, no obvious associations were found for all genetic models when all studies were pooled into the meta-analysis. In the subgroup analyses by ethnicity, country, HWE in controls and study sample size, a significantly increased risk was observed among Caucasians (recessive model, OR=2.56, 95% CI=1.06-6.16) and among studies without the HWE (recessive model, OR=1.85, 95% CI=1.20-2.84). For XbaI A/G polymorphism, also no obvious associations were found for all genetic models. In the subgroup analyses by ethnicity, country, HWE in controls and study sample size, still no obvious associations were found. No publication bias was found in the present study. This meta-analysis suggests that ER-α gene PvuII (T/C) and XbaI (A/G) polymorphisms may not be associated with EMT risk, while the observed increase in risk of EMT may be due to small-study bias.     

Meta-analysis of the relationship between p21 Ser31Arg polymorphism and lung cancer susceptibility

The cyclin-dependent kinase inhibitor 1A (also known as p21) is thought to be involved in tumor development by mediating cell cycle arrest through the inhibition of cyclin/CDK activity. To explore the relationship of Ser31Arg polymorphism in the p21 gene with the risk of developing lung cancer, we performed an overall and stratified meta-analysis based on ethnicity, lung cancer subtypes and source of controls, with six eligible studies (2366 cases and 3320 controls). No significant variation in lung cancer risk was detected in any of the genetic models in the overall, and the ethnicity-based and cancer subtype-based subgroup analyses. However, in the subgroup analysis based on source of controls, significant opposite associations were observed; a significantly increased lung cancer risk was observed in the hospital-based control subgroup, while a significantly decreased lung cancer risk was detected in the mixed-source control and unknown-source control subgroups. In summary, based on our meta-analysis, p21 Ser31Arg polymorphism does not appear to act as an independent lung cancer risk factor and is more likely to act together with other genetic and non-genetic factors in the development of lung cancer; this needs further investigation.     

Common Variants on Cytotoxic T Lymphocyte Antigen-4 Polymorphisms Contributes to Type 1 Diabetes Susceptibility: Evidence Based on 58 Studies

In the past decade, a number of case–control studies have been carried out to investigate the relationship between the CTLA4 gene polymorphisms and type 1 diabetes (T1D). However, these studies have yielded contradictory results. To investigate this inconsistency, we performed a meta-analysis of all available studies dealing with the relationship between the CTLA4 polymorphism and T1D. In total, 58 association studies on two CTLA4 polymorphisms (G49A and C60T) and risk of T1D, including a total of 30,723 T1D cases and 45,254 controls were included. In a combined analysis, the summary per-allele odds ratio (OR) for T1D of the G49A and C60T polymorphism was 1.42 [95% confidence interval (CI): 1.31–1.53, P<10⁻⁵] and 1.23 (95% CI: 1.18–1.29, P<10⁻⁵), respectively. Significant results were also observed using dominant or recessive genetic model. In the subgroup analysis by ethnicity and sample size, significantly increased risks were also found for these polymorphisms. This meta-analysis demonstrated that the G49A and C60T polymorphism of CTLA4 is a risk factor associated with increased T1D susceptibility, but these associations vary in different ethnic populations.     

Association of p73 G4C14‐to‐A4T14 polymorphism at exon 2 with the response of human lung adenocarcinoma cell lines to chemotherapy

In order to assess the effect of p73 gene polymorphism G4C14‐A4T14 on cisplatin‐based chemosensitivity of human lung adenocarcinoma cell lines, we examined the differences in biological character and drug sensitivity affected by cisplatin between human lung adenocarcinoma cell lines A549 and P15. The allelic expression ofp73 in A549 and P15 was studied by Sty I polymorphism analysis. MTT [3‐(4,5‐dimethylthiazol‐2‐yl)‐2,5‐diphenyltetrazolium bromide] assay was used to analyse the response of these two cell lines to cisplatin. The changes in the biological behaviour of the cells were observed by colony formation assay. The drug‐induced apoptosis of cells was measured by Hoechst and TUNEL techniques. Homozygous allelic expression was demonstrated in the two cell lines. AT/AT genotype appeared in A549, GC/GC genotype was detected in P15. Although the colony formation number decreased with an increasing cisplatin dose (P<0.05), there was no significant difference in colony‐formation rate in these two cell lines (P>0.05). MTT assay also determined that the 50% inhibitory concentration (IC₅₀) for A549 and P15 was 8.9 and 11.6 μmol/l, respectively; the IC₅₀ value did not differ significantly between A549 and P15 (P>0.05). The cell apoptosis induced by cisplatin was demonstrated in both A549 and P15. P73 G4C14‐A4T14 polymorphisms at exon 2 existed in human NSCLC (non‐small‐cell lung cancer) cell lines. Our data in vitro suggest that p73 G4C14‐A4T14 polymorphism has no significant relationship to the cisplatin‐based chemosensitivity in human lung adenocarcinoma.     

Lack of association between methylenetetrahydrofolate reductase gene A1298C polymorphism and breast cancer susceptibility

Published data on the association between methylenetetrahydrofolate reductase gene (MTHFR) A1298C 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 A1298C polymorphism and breast cancer risk. The pooled ORs were performed for co-dominant model (AC vs. AA, CC vs. AA), dominant model (CC+AC vs. AA), and recessive model (CC vs. AC+AA), respectively. A total of 26 studies including 12,244 cases and 15,873 controls were involved in this meta-analysis. Overall, no significant associations were found between MTHFR A1298C polymorphism and breast cancer risk when all studies pooled into the meta-analysis (AC vs. AA: OR=0.99, 95% CI 0.94-1.05; CC vs. AA: OR 0.99, 95% CI 0.90-1.09; dominant model: OR=0.99, 95% CI 0.95-1.04; and recessive model: OR=0.98, 95% CI 0.90-1.08). 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 MTHFR A1298C 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.     

Methionine synthase A2756G polymorphism and breast cancer risk: An up-to-date meta-analysis

The methionine synthase (MTR) gene polymorphism A2756G has been linked to the risk of developing breast cancer, but the available results were inconsistent and underpowered. To derive a more precise estimation of the association between A2756G and breast cancer risk, an updated meta-analysis of 16 available studies with 9866 cases and 11,702 controls estimating the association between MTR A2756G and breast cancer risk was conducted. The quality of these studies was generally good except 2 studies with a lowest score 4 according to the Newcastle–Ottawa Scale (NOS). The results suggested that there is no significant association between A2756G and breast cancer risk in overall results. In the stratified analysis by ethnicity, source of controls (population or hospital-based), Hardy–Weinberg equilibrium (HWE) in controls, sample size (≥ 1000 and < 1000 subjects), and menopausal status, the 2756G allele was associated with a decreased risk in Caucasians, PB (population-based) subgroup, and large studies. But the associations disappeared after removing the studies not in HWE. On the contrary, an increased risk was found in small studies. In conclusion, the findings suggest that MTR A2756G polymorphism is not associated with altered susceptibility to breast cancer, while the observed decreased risk in Caucasians, PB subgroup, and large studies and increased risk in small studies may be due to selection bias or other unknown factors.     

The ?159C/T polymorphism in the CD14 gene and the risk of asthma: a meta-analysis

The -159C/T polymorphism in the CD14 gene has been implicated in susceptibility to asthma, but a large number of studies have reported inconclusive results. The aim of this study is to investigate the association between the -159C/T polymorphism in the CD14 gene and the risk of asthma by meta-analysis. We searched Pubmed, Embase, CNKI database, Wanfang database, Weipu database, and Chinese Biomedical database, covering all publications (last search been performed on April 20, 2010). Statistical analysis was performed by using the softwares Revman 4.2 and STATA 10.0. A total of 17 case-control studies in 17 articles (4,246 cases and 3,631 controls) were included in this meta-analysis. There was no association between this polymorphism and asthma risk in combined analyses (odds ratio (OR)?=?0.86 and 95% confidence interval (95% CI)?=?0.72-1.02, P?=?0.09 for TC?+?TT vs. CC). In the subgroup analysis by age, ethnicity, and atopic status, no significant associations of asthma risks were obtained from age groups, ethnic groups, and atopic groups for TC?+?TT vs. CC comparison. For atopic population, significant decreased atopic asthma risks were found among Asian population (OR?=?0.69, 95% CI 0.52-0.92, P?=?0.01) and children population (OR?=?0.69, 95% CI 0.54-0.89, P?=?0.0004) for TC?+?TT vs. CC comparison. This meta-analysis suggests that CD14 is a candidate gene for atopic asthma susceptibility. The -159C/T polymorphism may be a protective factor for atopic asthma in Asian and children. More studies are needed to validate these associations.     

Meta-analysis shows significant association of the <Emphasis Type="Italic">TP53</Emphasis> Arg72Pro with ovarian cancer risk

Growing bodies of studies have been conducted on the association of TP53 Arg72Pro polymorphism with susceptibility to ovarian cancer and have yielded conflicting results. Thus, a meta-analysis was performed to summarize the possible association. 18 case–control studies, including 2,193 ovarian cancer cases and 5,175 controls were identified. The quality of the studies was assessed according to a predefined scale. The strength of the associations between TP53 Arg72Pro polymorphism and ovarian cancer was measured by crude odds ratios (ORs) with 95% confidence intervals (CIs). Overall, no significant association was found between TP53 Arg72Pro polymorphism and ovarian cancer risk when all studies pooled into the meta-analysis in all genetic model. In the subgroup analysis by ethnicity, still no association of this polymorphism with ovarian cancer risk was obtained for all comparison models. However, significantly decreased risks of ovarian cancer were found for Arg/Arg versus Arg/Pro+Pro/Pro (OR 0.84, 95% CI 0.74–0.96) when the analysis was restricted to high quality studies. Conversely, when it was restricted to low quality studies, significantly increased risks were observed for Arg/Arg versus Pro/Pro (OR 1.58, 95% CI 1.09–2.28) and Arg/Arg+Arg/Pro versus Pro/Pro: (OR 1.50, 95% CI 1.10–2.06), which might be spurious due to the poor design of these studies. In conclusion, this meta-analysis suggests that the Arg allele is at a moderately reduced risk for ovarian cancer and this polymorphism might protect against ovarian carcinogenesis.     

The CXCL12 G801A Polymorphism Is Associated with Cancer Risk: A Meta-Analysis

Background

CXCL12 is a small chemotactic cytokine belonging to the CXC chemokine family expressed in various organs. It contributes to the migration, invasion and angiogenesis of cancer cells. Recently, the CXCL12 G801A polymorphism was shown to be associated with an increased risk of various kinds of cancers, but the results were too inconsistent to be conclusive.

Methods

To solve the problem of inadequate statistical power and conflicting results, a meta-analysis of published case-control studies was performed, including 4,435 cancer cases and 6,898 controls. Odds ratios (ORs) and their 95% confidence intervals (CIs) were used to determine the strength of association between CXCL12 G801A polymorphism and cancer risk.

Results

A significant association between CXCL12 G801A polymorphism and cancer risk was found under all genetic models. Further, subgroup analysis stratified by ethnicity suggested a significant association between CXCL12 G801A polymorphism and cancer risk in the Asian subgroup under all genetic models. However, in the Caucasian subgroup, a significant association was only found under an additive genetic model and a dominant genetic model. The analysis stratified by cancer type found that CXCL12 G801A polymorphism may increase the risk of breast cancer, lung cancer, and “other” cancers. Based on subgroup stratified by source of controls, a significant association was observed in hospital-based studies under all genetic models.

Conclusions

The CXCL12 G801A polymorphism is associated with an increased risk of cancer based on current published data. In the future, large-scale well-designed studies with more information are needed to better estimate possible gene-gene or gene-environment interactions.     

The hMLH1 promoter polymorphisms and cancer susceptibility in Asian populations: A meta-analysis

Background

A variety of studies have evaluated the associations between polymorphisms in the promoter regions of the hMLH1 and cancer risk. However, the results remain inconclusive. To better understand the roles of the hMLH1 polymorphisms and cancer risk, we conducted a comprehensive meta-analysis to investigate the association between the hMLH1 − 93G/A and 1151T/A (Val384Asp) polymorphisms and cancer risk in Asian population.

Methods

We performed a meta-analysis by conducting searches of the published studies in Pub Med, CNKI, CBM, ISI web of knowledge and Google scholar search databases. Finally, 12 studies were included into our meta-analysis. Overall and subgroup analyses were performed. Odds ratio (OR) and 95% confidence interval (CI) were used to evaluate the associations between hMLH1 polymorphisms and cancer risk. Statistical analysis was performed with Review Manager 5.0.

Results

Twelve studies addressing two hMLH1 polymorphisms were analyzed among a total of 4128 cancer cases and 4678 controls. For hMLH1 − 93G/A, there was no evidence that the hMLH1 − 93G/A polymorphism was significantly associated with an increased cancer risk (P > 0.05) in Asian populations (heterozygote comparison: OR = 0.89 [95% CI (0.75, 1.060)] P = 0.20; dominant model comparison: OR = 0.98 [95% CI (0.83, 1.15)] P = 0.79). In subgroup analysis based on cancer types and the sources of control, no associations were found in colorectal cancer, gastric cancer and “other cancers” under the any gene model except for lung cancer (recessive model comparison: OR = 1.69 [95% CI (1.30, 2.19)] P < 0.0001). For hMLH1 1151T/A, the polymorphism significantly associated with an increased cancer risk in Asians: OR = 1.88 [95% CI (1.49, 2.25)], P < 0.0001, and OR = 1.87 [95% CI (1.49, 2.25)], P < 0.0001.

Conclusions

Our investigations demonstrated that the hMLH1 − 93G/A polymorphism is not a candidate for susceptibility to overall cancers, and that the hMLH1 1151T/A polymorphism is significantly associated with higher cancer risk in Asian populations. Further studies with large sample size for hMLH1 should be conducted.     

Transforming growth factor-β1 gene +869T/C,but not +915G/C polymorphism is associated with essential hypertension in a Chinese patient cohort

Many studies have suggested that transforming growth factor-β1 (TGF-β1) gene might be involved in the development of hypertension. However, results have been inconsistent. In this study, the authors performed a meta-analysis to investigate the associations of +869T/C and +915G/C polymorphisms in TGF-β1 gene with hypertension risk in Chinese. Published literature from PubMed, EMBASE, CNKI, CBM, and Wanfang Data were searched. Pooled odds ratio (OR) and 95% confidence interval (CI) were calculated using fixed or random-effects model. Nine studies (1,995 cases/1,840 controls) for +869T/C polymorphism and seven studies (1,547 cases/1,577 controls) for +915G/C polymorphism were included in the meta-analysis. The overall result showed that there was a statistically significant association between +869T/C polymorphism and hypertension risk (CC vs. TT: OR = 1.80, 95% CI 1.34–2.44). Similar results were found among two geographic locations and two subgroups with different sample size. However, no significant association was found for +915G/C polymorphism with the risk of hypertension (CC vs. GG: OR = 1.66, 95% CI 0.74–3.74). The meta-analysis indicated the significant association of +869T/C, but not +915G/C polymorphism with hypertension susceptibility. However, given the limited sample size, the associations warrant further investigation.     

Association between CD14 Promoter -159C/T Polymorphism and the Risk of Sepsis and Mortality: A Systematic Review and Meta-Analysis

Background

Recent studies on the association between CD14-159C/T polymorphism and sepsis showed inconclusive results. Accordingly, we conducted a comprehensive literature search and a meta-analysis to determine whether the CD14-159C/T polymorphism conferred susceptibility to sepsis or was associated with increased risk of death from sepsis.

Methodology

Data were collected from the following electronic databases: PubMed, Embase, Medline, Web of Knowledge, and HuGE Navigator, with the last report up to June 15, 2012. The odds ratio (OR) and 95% confidence interval (CI) were used to assess the strength of association. We summarized the data on the association between CD14-159C/T polymorphism and sepsis in the overall population and subgroup by ethnicity and sepsis subtype.

Principal Findings

A total of 16 studies on sepsis morbidity (1369 cases and 2382 controls) and 4 studies on sepsis mortality (731 sepsis patients) met the inclusion criteria for meta-analysis. Overall analysis showed no strong evidences of association with sepsis susceptibility under any genetic model. However, slight associations were found in Asian populations (dominant model: OR = 1.38, 95%CI = 0.96–1.98, P = 0.08) and septic shock patients (dominant model: OR = 1.72, 95%CI 1.05–2.83, P = 0.03; allelic model: OR = 1.52, 95%CI 1.09–2.12, P = 0.01) in the stratified analysis. Moreover, there was borderline association between CD14-159C/T and sepsis mortality under the dominant genetic model (OR = 1.44, 95%CI = 0.98–2.11, P = 0.06).

Conclusions/Significance

This meta-analysis suggests that the CD14-159C/T polymorphism may not be a significant susceptibility factor in the risk of sepsis and mortality. Only weak associations were observed in Asian populations and septic shock patients. More studies based on larger sample sizes and homogeneous sepsis patients are needed to confirm these findings.     

Prostate cancer with variants in CYP17 and UGT2B17 genes: a meta-analysis

Both CYP17 and UGT2B17 are suggested to be potential risk factors of prostate cancer (PCa). To date, many studies have evaluated the relationship between CYP17 T-34C and UGT2B17 Del polymorphisms and Prostate cancer with conflicting results. Here, we performed comprehensive meta-analyses of over 25 studies, including results from about 17,000 subjects on the association of CYP17 T-34C and UGT2B17 Del polymorphisms with Prostate cancer. Overall, no significant associations between CYP17 T-34C polymorphism and Prostate cancer risk were found for T versus C (P=0.63), TT versus CC (P=0.52), TT+TC versus CC (P=0.40) or TT versus TC+CC (P=0.98), though there was a marginally significant association with the UGT2B17 Del polymorphism under Del/Del versus Ins/Ins +Ins/Del (P=0.05). In an analysis of various subgroups, there were no substantially significant associations with the CYP17 T-34C polymorphism; while there was a significant association for the UGT2B17 Del/Del genotype in a subgroup of men-based controls (P < 0.0001). The current meta-analysis results suggest that the CYP17 T-34C polymorphism may not be associated with Prostate cancer, while the UGT2B17 Del polymorphism may significantly contribute to prostate cancer susceptibility in men. These findings also support the idea that CYP17 has no significant effects on androgen levels, while UGT2B17 does.     

Glutathione s-transferase m1 gene polymorphism and laryngeal cancer risk: a meta-analysis

Background and Objectives

Studies investigating the association between glutathione S-transferase M1 (GSTM1) gene polymorphism and laryngeal cancer risk have reported conflicting results. The aim of the present study was to conduct a meta-analysis assessing the possible associations of GSTM1 gene polymorphism with laryngeal cancer risk.

Methods

The relevant studies were identified through a search of PubMed, Embase, ISI Web of Knowledge and Chinese National Knowledge Infrastructure until May 2011 and selected on the basis of the established inclusion criteria for publications, then a meta-analysis was performed to quantitatively summarize association of GSTM1 polymorphism with laryngeal cancer susceptibility.

Results

Seventeen studies were included in the present meta-analysis (2,180 cases and 2,868 controls). The combined results based on all studies showed that GSTM1 null genotype was associated with increased laryngeal cancer risk (OR = 1.17, 95% CI = 1.04∼1.31). When stratifying for race, GSTM1 null genotype exhibited increased laryngeal cancer risk in Caucasians (OR = 1.15, 95% CI = 1.01∼1.31), while no significant association was detected in Asians (OR = 1.25, 95% CI = 0.80∼1.96). In the subgroup analysis based on source of controls, significant associations were observed in the population-based studies (OR = 1.15, 95% CI = 1.01∼1.31) yet not in the hospital-based studies (OR = 1.25, 95% CI = 0.93∼1.67). Furthermore, in the subgroup analysis based on sample size, significant associations were also found in studies with at least 50 cases and 50 controls (OR = 1.15, 95% CI = 1.02∼1.30) but not in studies with fewer than 50 cases or 50 controls (OR = 1.46, 95% CI = 0.87∼2.46).

Conclusions

This meta-analysis supported that the GSTM1 gene polymorphism was associated with laryngeal cancer, particularly in Caucasians, and these associations varied in different subgroup, which indicated that population-based study with larger sample size was more appropriate in design of future study.