Our results indicate no strong association between three most frequent COX-2 SNPs rs689465 rs689466, rs20417 studied with breast cancer risk in the single locus analysis.
This meta-analysis showed that COX-2 rs20417 polymorphism was correlated with an increased risk of breast cancer in Caucasians, while rs689466 was associated with a decreased risk of breast cancer in Caucasians.
This meta-analysis showed that COX-2 rs20417 polymorphism was correlated with an increased risk of breast cancer in Caucasians, while rs689466 was associated with a decreased risk of breast cancer in Caucasians.
In conclusion, the present meta-analysis suggests that none of the most studied three SNPs (rs5275, rs20417, and rs5277) in the COX-2 gene is a conspicuous low-penetrant risk factor for developing breast cancer.
Here, we evaluate the impact of the four most common cyclooxygenase-2 gene polymorphisms (rs689465, rs689466, rs20417 and rs20417), in combination with obesity, on the risk of breast cancer progression in a cohort of Brazilian breast cancer patients (<i>N</i> = 1038).
COX-2-rs20417 CC genotype was significantly associated with increased risk of breast cancer when comparing to G allele [ORs were 1.231 (1.050-1.444) for CC vs. GG, P = 0.01, 1.223 (1.045-1.432) for CC vs. G carrier, P = 0.01].
Our results indicate no strong association between three most frequent COX-2 SNPs rs689465 rs689466, rs20417 studied with breast cancer risk in the single locus analysis.
In conclusion, the present meta-analysis suggests that none of the most studied three SNPs (rs5275, rs20417, and rs5277) in the COX-2 gene is a conspicuous low-penetrant risk factor for developing breast cancer.
Here, we evaluate the impact of the four most common cyclooxygenase-2 gene polymorphisms (rs689465, rs689466, rs20417 and rs20417), in combination with obesity, on the risk of breast cancer progression in a cohort of Brazilian breast cancer patients (<i>N</i> = 1038).
COX-2-rs20417 CC genotype was significantly associated with increased risk of breast cancer when comparing to G allele [ORs were 1.231 (1.050-1.444) for CC vs. GG, P = 0.01, 1.223 (1.045-1.432) for CC vs. G carrier, P = 0.01].
We found no evidence that rs20417</span> alters prostate cancer</span> risk (odds</span> ratio (OR(CC & GC v GG)=1.05, 95% confidence interval (CI)=0.91-1.20).
The aim of this study was to investigate the association between the cyclooxygenase 2 (COX2) -765G>C (rs20417) polymorphism and prostate cancer (PC) risk using meta-analysis.
We found no evidence that rs20417</span> alters prostate cancer</span> risk (odds</span> ratio (OR(CC & GC v GG)=1.05, 95% confidence interval (CI)=0.91-1.20).
In a hospital-based case/control study, 195 subjects with PCa and 250 healthy controls were investigated for the association of COX-2 -765 G>C (rs20417) and +8473 T>C (rs5275) promoter polymorphism with PCa susceptibility using the polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) method.
The aim of this study was to investigate the association between the cyclooxygenase 2 (COX2) -765G>C (rs20417) polymorphism and prostate cancer (PC) risk using meta-analysis.
In a hospital-based case/control study, 195 subjects with PCa and 250 healthy controls were investigated for the association of COX-2 -765 G>C (rs20417) and +8473 T>C (rs5275) promoter polymorphism with PCa susceptibility using the polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) method.
Crude odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association between each polymorphism and breast cancer risk under the codominant model, dominant model, and recessive model, respectively (nine studies with 6,968 cases and 9,126 controls for rs5275; three studies with 2,901 cases and 3,463 controls for rs20417; two studies with 5,551 cases and 6,208 controls for rs5277).
Associations between the 8473T>C polymorphism (rs5275) in the cyclooxygenase-2 (COX-2) gene and breast cancer (BC) risk are still inconclusive and ambiguous.
Crude odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association between each polymorphism and breast cancer risk under the codominant model, dominant model, and recessive model, respectively (nine studies with 6,968 cases and 9,126 controls for rs5275; three studies with 2,901 cases and 3,463 controls for rs20417; two studies with 5,551 cases and 6,208 controls for rs5277).