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Title: Association between RAD51 135 G/C polymorphism and risk of 3 common gynecological cancers: A meta-analysis. Author: Zeng X, Zhang Y, Yang L, Xu H, Zhang T, An R, Zhu K. Journal: Medicine (Baltimore); 2018 Jun; 97(26):e11251. PubMed ID: 29952992. Abstract: AIM: Available data concerning the association between RAD51 135G/C (rs1801320) polymorphism and the risk of 3 common gynecological cancers still could not reach a consensus. Thus, we conducted a meta-analysis to explore the relationship. METHODS: Several electronic databases and bibliographies of relevant articles were screened to identify the studies up to July 2017. Then a meta-analysis was performed to evaluate the connection between 3 common gynecological tumors' susceptibility and RAD51 135G/C polymorphism in different inheritance models. Simultaneously, we did subgroup analysis and sensitivity analysis if necessary. RESULTS: A total of 11 articles including 14 studies involving 4097 cases and 5890 controls were included in this meta-analysis. Overall, RAD51 135G/C polymorphism increased the risk of 3 common gynecological tumors. The subgroup analysis stratified by cancer types- endometrial carcinoma (EC) and ovarian cancer (OC)-showed that RAD51 135G/C polymorphism increased the risk of EC: allele model (C vs G: odds ratio [OR] = 4.32, 95% confidence interval [CI] = 2.63-7.10, P < .00001), dominant model (CC + GC vs GG: OR = 2.28, 95% CI = 1.44-3.60, P = .004), recessive model (CC vs GC + GG: OR = 10.27, 95% CI = 14.71-22.38, P < .00001), and homozygous model (CC vs GG: OR = 7.26, 95% CI = 3.59-14.68, P < .00001), but there was no significant association between RAD51 135G/C polymorphism and OC. In the subgroup analysis stratified by source of controls, a significantly increased risk was observed in hospital-based studies. Nevertheless, the data showed RAD51 135G/C polymorphism had no link in population-based studies. CONCLUSIONS: This meta-analysis suggested that RAD51 135G/C polymorphism was a risk factor for the three common gynecological tumors, especially for EC among hospital-based populations.[Abstract] [Full Text] [Related] [New Search]