The Cox-2 -1195 G > A polymorphism and cancer risk: a meta-analysis of 25 case-control studies.
ABSTRACT Cyclooxygenase 2 (Cox-2, a rate-limiting enzyme in the conversion of arachidonic acid to prostanoids) has been implicated in several physiological and pathological processes, and it has been reported that polymorphisms in the regulatory region of Cox-2 might influence its expression, contributing to the interindividual susceptibility to cancer. However, results from published studies on the association between the Cox-2 -1195G > A polymorphism and the risk of cancer are conflicting. We performed a meta-analysis based on 25 case-control studies, including a total of 9482 cancer cases and 12 206 controls to derive a more precise estimation of the association and its possible influence on cancer risk. We used odds ratios (ORs) with 95% confidence intervals (CIs) to assess the strength of the association. The overall results indicated that the variant genotypes moderately increased risk of cancer (AA/AG versus GG, OR = 1.15, 95% CI: 1.02-1.31). In the stratified analysis for the -1195G > A polymorphism, a proximate association was observed in Asian populations (AA/AG versus GG, OR = 1.28, 95% CI: 1.12-1.46), but no significant association except for oesophageal cancer and 'others' was found when stratified by cancer type. In conclusion, our meta-analysis indicates that -1195G > A of Cox-2 is a low penetration risk factor for cancer.
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Article: Meta-analysis in clinical trials.[show abstract] [hide abstract]
ABSTRACT: This paper examines eight published reviews each reporting results from several related trials. Each review pools the results from the relevant trials in order to evaluate the efficacy of a certain treatment for a specified medical condition. These reviews lack consistent assessment of homogeneity of treatment effect before pooling. We discuss a random effects approach to combining evidence from a series of experiments comparing two treatments. This approach incorporates the heterogeneity of effects in the analysis of the overall treatment efficacy. The model can be extended to include relevant covariates which would reduce the heterogeneity and allow for more specific therapeutic recommendations. We suggest a simple noniterative procedure for characterizing the distribution of treatment effects in a series of studies.Controlled Clinical Trials 10/1986; 7(3):177-88.
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ABSTRACT: Colorectal cancer is the second leading cause of cancer death in the U.S.A. Recent research suggests that nonsteroidal anti-inflammatory drugs (NSAIDs) are effective in the prevention of colorectal neoplasia. This review summarises the results of research in animals and humans of these compounds in preventing tumours of the colorectum.European Journal of Cancer 01/1995; 31A(7-8):1071-6. · 5.06 Impact Factor