Association between polymorphisms of the renin–angiotensin system genes and breast cancer risk: a meta-analysis

Abstract

The renin-angiotensin system (RAS) has been considered to be implicated in the development of breast cancer. However, the results are inconsistent. In this study, we conducted a meta-analysis to assess the association between four polymorphisms, including angiotensin I-converting enzyme (ACE) I/D and A240T, angiotensin II type 1 receptor (AGTR1) A1166C and angiotensinogen (AGT) M235T polymorphisms, and breast cancer risk. Published literature from PubMed, ISI web of science, and Embase databases were retrieved. All studies evaluating the association between ACE I/D, ACE A240T, AGTR1 A1166C, or AGT M235T polymorphism and breast cancer risk were included. Pooled odds ratio (OR) with 95% confidence interval (CI) was calculated using fixed- or random-effects model. Ten studies (1,650 cases and 9,283 controls) on ACE I/D polymorphism, six studies (1,316 cases and 2,632 controls) on ACE A240T polymorphism, three studies (235 cases and 601 controls) on AGTR1 A1166C polymorphism, and two studies (273 cases and 3,547 controls) on AGT M235T polymorphism were included. Overall, the meta-analysis showed no significant association between I/D or A240T polymorphism and breast cancer risk in either genetic model. Further subgroup analysis by ethnicity also revealed non-significant association in Caucasian or Asian populations except for Africans (the statistically significant association for ACE I/D or A240T polymorphism in Africans derived from only one study). A marginally significant association was observed for AGTR1 A1166C polymorphism in Caucasians (CC vs. AA: OR = 0.31, 95% CI 0.10-0.99). In addition, there was a significant association between AGT M235T polymorphism and breast cancer risk in Caucasians (OR = 1.45, 95% CI 1.12-1.88). The present meta-analysis suggested that ACE I/D and A240T polymorphisms might not be a good predictor of breast cancer risk, while AGTR1 A1166C and AGT M235T polymorphisms might be implicated in the pathogenesis of breast cancer. Given the limited sample size, the findings warrant further investigation.