title: Lack of association between COX-2 8473T>C polymorphism and breast cancer risk: a meta-analysis.
abstract: OBJECTIVE
  Results of recent published studies on the association between the COX-2 8473T>C polymorphism and the risk of breast cancer have often been conflicting. To make a more precise estimation of the potential relationship, a meta-analysis was performed.
  
  
  METHODS
  A total of seven case-control studies with 7,033 cases and 9,350 controls were included in the current meta-analysis through searching the databases of PubMed, Embase, and Cochrane Library (up to March 1(st), 2013). The odds ratio (OR) and 95% confidence interval (95% CI) were calculated to assess the strength of the association. The meta-analysis was conducted in a fixed/random effect model.
  
  
  RESULTS
  We found no significant associations for all genetic models after all studies were pooled into the meta-analysis (for C vs. T: OR = 0.974, 95% CI: 0.906-1.047, p = 0.471; for CC vs. TT: OR = 0.957, 95% CI: 0.803-1.140, p = 0.62; for TC vs. TT: OR = 0.964, 95% CI: 0.881-1.055, p = 0.421; for CC + TC vs. TT: OR = 0.963, 95% CI: 0.880-1.053, p = 0.406; for CC vs. TT + TC: OR = 0.978, 95% CI: 0.831-1.15, p = 0.788). We also observed no obvious associations in the subgroup analyses by ethnicity (Caucasian) and source of controls (population based, PB) for all genetic models.
  
  
  CONCLUSIONS
  Current evidence suggests that the COX-2 8473T>C polymorphism is not associated with breast cancer risk.
authors.affiliation: The First Affiliated Hospital of Anhui Medical University, Anhui, Hefei, PR China ; Department of Radiation Oncology, The First Affiliated Hospital of Anhui Medical University, Anhui, Hefei, PR China.
authors.forename: Jun
authors.initials: J
authors.lastname: Jiang
authors.affiliation: Department of Radiation Oncology, The First Affiliated Hospital of Anhui Medical University, Anhui, Hefei, PR China.
authors.forename: Xun-Feng
authors.initials: XF
authors.lastname: Quan
authors.affiliation: Department of Radiation Oncology, The First Affiliated Hospital of Anhui Medical University, Anhui, Hefei, PR China.
authors.forename: Li
authors.initials: L
authors.lastname: Zhang
authors.affiliation: Department of Radiation Oncology, The First Affiliated Hospital of Anhui Medical University, Anhui, Hefei, PR China.
authors.forename: Li
authors.initials: L
authors.lastname: Shen
authors.affiliation: Department of Radiation Oncology, The First Affiliated Hospital of Anhui Medical University, Anhui, Hefei, PR China.
authors.forename: Ming-Xia
authors.initials: MX
authors.lastname: Zhang
authors.affiliation: Department of Radiation Oncology, The First Affiliated Hospital of Anhui Medical University, Anhui, Hefei, PR China.
authors.forename: Hui-Hui
authors.initials: HH
authors.lastname: Ma
authors.affiliation: Department of Radiation Oncology, The First Affiliated Hospital of Anhui Medical University, Anhui, Hefei, PR China.
authors.forename: Yi-Chun
authors.initials: YC
authors.lastname: Wang
keywords: COX-2; breast cancer; meta-analysis; polymorphism