A meta-analysis of the association between gout, serum uric acid level, and obstructive sleep apnea.

Previous epidemiological investigations have evaluated the association between gout, serum uric acid levels, and obstructive sleep apnea syndrome (OSAS), but with inconsistent results. We conducted this meta-analysis aiming at providing clear evidence about whether OSAS patients have higher serum uric acid levels and more susceptible to gout. Relevant studies were identified via electronic databases from inception to December 17, 2018. Study selection was conducted according to predesigned eligibility criteria, and two authors independently extracted data from included studies. The hazard ratio (HR) and weighted mean difference (WMD) and their corresponding 95% confidence interval (CI) were derived using random-effects models. We conducted meta-, heterogeneity, publication bias, sensitivity, and subgroup analyses. Eighteen studies, involving a total of 157,607 individuals (32,395 with OSAS, 125,212 without OSAS) and 12,262 gout cases, were included. Results show that serum uric acid levels are elevated in patients with OSAS (WMD = 52.25, 95% CI 36.16-64.33); OSAS did not reach statistical significance as a predictor of gout (but there was a trend, HR = 1.25, 95% CI 0.91-1.70) and that the association between OSAS and serum uric acid was quite robust. OSAS may be a potential risk factor for hyperuricemia and the development of gout and thus, effective OSAS therapy may present as a valuable preventive measure against gout. Still, it is vital to undertake clinical studies with better designing to corroborate these associations and shed new light on it.

Association of CAV1 polymorphisms with the risks of breast cancer: A systematic review and meta-analysis.

BACKGROUND: Caveolin-1 (CAV1) polymorphisms have been shown to correlated with breast cancer risk in previous studies. However, the role of CAV1 polymorphisms still remained indecisive, and dual functions of CAV1 was demonstrated in breast cancer development. Consequently, a meta-analysis to evaluate and summarize the association of the CAV1 polymorphisms with breast cancer susceptibility. MATERIAL AND METHODS: Extensive search was performed in PubMed, Web of Science, Google scholar, EMBASE.com, CNKI and Wanfang searching platform up to March 2019. The Newcastle-Ottawa Scale (NOS) were used to evaluate the quality of each study. The Odds ratios (ORs) and the 95% confidence intervals (CIs) were analyzed to evaluate the strength of the associations in five genetic models. Inter-study heterogeneity was quantified using the I-squared (I2) test. In addition, the Egger's test and Begg's test were applied to evaluate the publication bias. RESULTS: 4 case-control studies with 2115 cases and 2138 controls were enrolled into this analysis. There was a significant association between rs3807987 polymorphism of CAV1 and breast cancer in allele comparison (A vs. G: OR = 1.288, 95％CI = 1.162-1.428, P < 0.001), heterozygote comparison (AG vs. GG: OR= 1.422, 95％CI=1.233-1.639, P < 0.001), and dominant comparison (AA+AG vs. GG: OR=1.395, 95％CI=1.228-1.586, P < 0.001). A significant association of rs3807987 polymorphism in allele comparison (A vs. G: OR=1.238, 95％CI=1.109-1.383, P < 0.001), heterozygote comparison (AG VS. GG: OR=1.466, 95％CI=1.267-1.697, P < 0.05), and dominant comparison (AA+AG vs. GG: OR=1.384, 95％CI=1.209-1.585, P < 0.001) was also founded amongst Chinese population. A significant association between rs7804372 polymorphism and breast cancer amongst Chinese population in recessive comparison (AA vs. AT + TT: OR = 0.730, 95％CI = 0.567-0.940, P = 0.015) was identified. No significant association between breast cancer risk and rs1997623 was found. CONCLUSION: CAV1 rs3807987 and rs7804372 polymorphisms are associated with the change of breast cancer risk. More well-designed and large studies in various populations are needed to further elaborate these associations.

Association Between CHEK2*1100delC and Breast Cancer: A Systematic Review and Meta-Analysis.

INTRODUCTION: The association between the checkpoint kinase 2*1100delC (CHEK2*1100delC) and breast cancer has been extensively explored. OBJECTIVE: In light of the recent publication of studies on these specific findings, particularly regarding male patients with breast cancer, we performed an updated meta-analysis to investigate a more reliable estimate. METHODS: This meta-analysis included 26 published studies selected in a search of electronic databases up to January 2018, including 118,735 breast cancer cases and 195,807 controls. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the association between 1100delC and breast cancer. RESULTS: Meta-analysis results suggested that 1100delC contributed to an increased breast cancer risk in overall populations (OR 2.89; 95% CI 2.63-3.16). Subgroup analysis found ORs of 3.13 (95% CI 1.94-5.07) for male breast cancer, 2.88 (95% CI 2.63-3.16) for female breast cancer, 2.87 (95% CI 1.85-4.47) for early-onset breast cancer, 2.92 (95% CI 2.65-3.22) for invasive breast cancer, and 3.21 (95% CI 2.41-4.29) for familial breast cancer. The sensitivity analysis suggested that results of this meta-analysis were generally robust. CONCLUSION: CHEK2*1100delC is associated with an increased risk of both female and male breast cancer.