Background: The renin-angiotensin system plays an important role in homeostasis and lately, its main effector, angiotensin II, has been attributed with angiogenic and growth factor actions in the breast tissue. Previous studies have shown that the insertion/deletion (I/D) polymorphism in the angiotensin-converting enzyme (ACE) gene accounts for the variability of ACE plasma concentrations. The use of ACE inhibitors and the ACE I/D polymorphism may be linked to breast cancer risk. In this study, we evaluate the relationship of the ACE I/D polymorphism with breast cancer risk in Caucasian postmenopausal women.

Methods: The ACE I/D polymorphism was genotyped in 4,117 women participants in the Rotterdam Study. Baseline information was obtained through a questionnaire. We conducted a logistic regression and survival analysis to assess the risk of breast cancer by the ACE genotype.

Results: The DD carriers showed a significantly increased risk of developing breast cancer when compared with the II carriers (odds ratio, 1.86; 95% confidence interval, 1.06-3.27; P = 0.03). This association remained after adjusting for other risk factors, including body mass index, age at menarche, age at menopause, hormone replacement therapy, and hypertension. Our survival analysis showed that the cancer-free survival was significantly reduced in DD compared with II carriers (hazard ratio, 1.80; 95% confidence interval, 1.07-3.01; P = 0.03).

Conclusions: Our results suggest that the ACE I/D polymorphism plays an important role in breast cancer risk and disease-free survival in Caucasian postmenopausal women.

Breast cancer presents a serious public health risk in both developed and developing countries. With 1 million new cases diagnosed in the world annually, it accounts for 18% of all female malignancies (1, 2). Risk factors for this disease vary from lifestyle to genetic factors (3), which are estimated to account for 15% to 25% of the cases (4). Germ line mutations in high-penetrance genes, such as BRCA 1 and BRCA 2, explain <5% of all breast cancer cases (4). Most likely, the genetic susceptibility to breast cancer is explained by multiple highly penetrant mutations and a larger number of low penetrance mutations (5). The genes involved in breast cancer are expected to be responsible for key processes in cell growth regulation and cell proliferation, including angiogenesis (6). One of the newly studied angiogenic and growth factors is angiotensin II (7), which has a wide spectrum of target tissues, including breast epithelial cells. It has a variety of functions, acting as a growth factor both in normal and cancer epithelial breast cells and promoting angiogenesis (7, 8). Angiotensin II is converted from angiotensin I by the angiotensin-converting enzyme (ACE). Studies conducted to assess the role of ACE and ACE inhibitors in both breast cancer and cancer in general show contradicting results. Whereas ACE inhibitors have been shown to block the processes of angiogenesis and tumor growth both in vivo and in vitro (9, 10), findings on the protective effect of ACE inhibitors on cancer still remain inconsistent. Whereas Lever et al. (11) found a decreased risk of cancer in patients taking ACE inhibitors, Li et al. (12) and Friis et al. (13) showed no protective effect of these drugs. An alternative way to study the role of ACE in cancer is to study the gene encoding for this enzyme. The ACE gene, which is located in chromosome 17q23, has many polymorphisms. The most commonly studied is a 287 bp Alu insertion/deletion (I/D) polymorphism in intron 16 that accounts for 50% of the variability in circulating ACE levels (14-16) and has been shown to be in complete linkage disequilibrium with the putative ACE-linked quantitative trait locus in Caucasians (15, 16). Furthermore, Koh et al. (17) showed that Chinese women who carried the I allele of the ACE I/D polymorphism had lower risk of developing breast cancer.

In this study, we evaluated the relationship of the I/D polymorphism in the ACE gene to breast cancer risk in a population-based study of Caucasian postmenopausal women.

Study Population

Our study is part of the Rotterdam Study, a population-based follow-up study of determinants of diseases in the elderly. All inhabitants of Ommoord, a suburb of Rotterdam, ages 55 years or older were invited to participate, of whom 7,983 agreed (78.1%). The design of the study has been previously described (18). Informed consent was obtained from all subjects, and the Medical Ethics Committee of the Erasmus Medical Center approved the study. The study population consisted of all 4,878 female postmenopausal participants.

Measurements

At baseline, information concerning age, smoking behavior, parity and number of children, hormone replacement therapy, age at menopause, and medical history was obtained by an interview (18). Body mass index (BMI) was calculated by dividing the weight in kilograms by the height (in meters) squared (19). Blood pressure measurement has been previously described (20).

Cancer Diagnosis

General practitioners reported the cases through a computer system covering 80% of the study population. For those participants not covered, research physicians visit general practitioners to record all morbidity. Finally, to acquire a complete ascertainment, histologically confirmed breast cancer diagnoses and incidence dates were obtained from the discharge registries of all hospitals in Rotterdam, the Daniel den Hoed cancer clinic, and Pathological Anatomical District Automatized Archives (21), a Dutch nationwide network and registry of histopathology and cytopathology. Furthermore, a biannual screening mammography was implemented in 1991 for women ages 50 to 69 years and since 1998 also for women 70 to 74 years (22). All diagnoses until February 2003, both in situ and invasive carcinomas, were included in the analyses.

Genotyping

The ACE I/D polymorphism was genotyped in 4,117 (89.4%) of the women in the Rotterdam Study (84.4%). DNA was isolated from blood samples using standard procedures (salting out method; ref. 23). The II, ID, and DD genotypes were detected by using the PCR technique according to the method of Lindpainter et al. (24) with modifications. The genotype procedure has been already described (25).

Data Analysis

Hardy-Weinberg equilibrium of the I/D polymorphism was tested using Markov-Chain Monte-Carlo approximation of the exact test, as implemented in the GENEPOP package V 3.3 (26). Categorical variables (parity, hormone replacement therapy, smoking, antihypertensive drug use, and ACE inhibitors use) were compared between genotype groups using the χ2 test. Continuous variables, which were not normally distributed (age at entry, age at menopause, and BMI), were compared using the independent-sample Mann-Whitney test. We conducted the analysis in two steps. First, we used logistic regression to study the risk of breast cancer by ACE genotype. We adjusted for possible confounders, such as age at entry and age at menopause, and we stratified for parity, hormone replacement therapy, smoking, antihypertensive drug use, and BMI, generating five models. Second, and to calculate disease-free survival by ACE genotype, a Cox proportional hazards model was fitted using age as the underlying time of the model and taking the II genotype as the reference category. Further stratification was done by parity, hormone replacement therapy, and BMI to study interactions between the gene and other risk factors associated with breast cancer. The covariates used in both analyses were used because of their well-documented importance as risk factors for breast cancer (11, 12, 27-29) or their association with genotype (20, 25). Logistic regression analysis was done using SPSS for Windows software package version 11.0 and the survival analyses were carried out using the S-plus program version 6.

Of a total of 4,878 postmenopausal women included in our study, 4,117 (84.4%) were successfully genotyped. Of these women, 8.1% were lost to follow-up. Loss of follow-up was not associated with ACE genotype or to risk factors for breast cancer. The frequencies of the I/D genotypes of the ACE gene were in Hardy-Weinberg equilibrium proportions (P = 0.96). The distribution of the studied variables was not significantly different between genotypes (Table 1). The distribution of ACE inhibitors use between genotypes was not different across genotypes (data not shown).

Table 1.

General characteristics of the study population stratified by ACE I/D genotype

GenotypeDDIDIIOverall
Total studied (%) 1,170 (28.4%) 2,247 (49.7%) 900 (21.9%) 4,117 
Mean age of entry (SD) 70.49 (9.82) 70.48 (9.54) 69.48 (9.80) 71.65 (10.27) 
Mean age at death 83.93 (9.41) 84.45 (8.51) 84.05 (8.62) 84.20 (8.81%) 
Mean age at menopause (SD) 48.76 (5.23) 48.9 (5.04) 48.72 (5.27) 48.88 (5.2) 
Mean no. children 2.06 (1.73) 2.09 (1.69) 2.17 (1.76) 2.10 (1.71) 
Parity (%; ≥1 child) 885 (78.3%) 1,562 (79.3%) 683 (79.3%) 64.17 (76.03%) 
Hormone replacement therapy (%) 126 (10.8%) 220 (10.7%) 105 (11.7%) 451 (10.95%) 
Use of antihypertensives 160 (13.9%) 257 (12.8%) 98 (11.1%) 515 (12.8%) 
Hypertension (%) 430 (36.8%) 752 (36.7%) 299 (33.2%) 1,481 (35.97%) 
Mean BMI (SD) 26.791 (4.12) 26.667 (4.12) 26.729 (4.02) 26.71 (4.09) 
Current smokers (%) 181 (15.55%) 351 (17.1%) 171 (19%) 433 (10.52%) 
GenotypeDDIDIIOverall
Total studied (%) 1,170 (28.4%) 2,247 (49.7%) 900 (21.9%) 4,117 
Mean age of entry (SD) 70.49 (9.82) 70.48 (9.54) 69.48 (9.80) 71.65 (10.27) 
Mean age at death 83.93 (9.41) 84.45 (8.51) 84.05 (8.62) 84.20 (8.81%) 
Mean age at menopause (SD) 48.76 (5.23) 48.9 (5.04) 48.72 (5.27) 48.88 (5.2) 
Mean no. children 2.06 (1.73) 2.09 (1.69) 2.17 (1.76) 2.10 (1.71) 
Parity (%; ≥1 child) 885 (78.3%) 1,562 (79.3%) 683 (79.3%) 64.17 (76.03%) 
Hormone replacement therapy (%) 126 (10.8%) 220 (10.7%) 105 (11.7%) 451 (10.95%) 
Use of antihypertensives 160 (13.9%) 257 (12.8%) 98 (11.1%) 515 (12.8%) 
Hypertension (%) 430 (36.8%) 752 (36.7%) 299 (33.2%) 1,481 (35.97%) 
Mean BMI (SD) 26.791 (4.12) 26.667 (4.12) 26.729 (4.02) 26.71 (4.09) 
Current smokers (%) 181 (15.55%) 351 (17.1%) 171 (19%) 433 (10.52%) 

NOTE: All P values ≥ 0.05.

There were 87 (2.1%) women who entered the study with previously diagnosed breast cancer and 114 (3.4%) were diagnosed during follow-up. The prevalent cases were excluded from all analyses. The number of breast cancer cases by genotype is shown in Fig. 1. The figure shows that the number of breast cancer patients increases as the number of D alleles increases (Ptrend = 0.02).

Figure 1.

Frequency of breast cancer cases by genotype.

Figure 1.

Frequency of breast cancer cases by genotype.

Close modal

The logistic regression yielded an odds ratio (OR) of 1.86 [95% confidence interval (95% CI), 1.06-3.27; P = 0.03] for DD carriers. Further adjustment of this model for hormone replacement therapy produced the same results. Adjustment for antihypertensive drug use provided an OR of 1.90 (95% CI, 1.06-3.27; P = 0.3) for DD versus II carriers. This association remained significant when additionally adjusting for parity (OR, 1.79; 95% CI, 1.06-3.27; P value = 0.03), smoking (OR, 1.83; 95% CI, 1.04-3.21; P = 0.03), and BMI (OR, 2.06; 95% CI, 1.14-3.71, P = 0.02).

Hazard ratios for breast cancer risk for the DD and ID genotypes are shown in Table 2. In our first model, we used age as the underlying time of the model and adjusted for age at menopause. By age 90 years, 4% of the DD carriers had developed breast cancer compared with 2.3% of II carriers and 2.8% of ID carriers. This translates into a hazard ratio for breast cancer of 1.80 (95% CI, 1.07-3.01; P = 0.026) for DD, which is maintained at all ages (Fig. 2).

Table 2.

Hazard ratios for breast cancer by genotype

Breast cancer risk adjusted by age at menopause and stratified by hormone replacement therapy
nIIIDDD
All 3,724 Reference 1.23 (0.75-2.03) 1.80 (1.07-3.01)* 
No use of hormone replacement therapy 3,280 Reference 1.60 (0.90-2.84) 2.13 (1.18-3.86)* 
Use hormone replacement therapy 444 Reference 0.25 (0.07-0.913)* 0.79 (0.26-2.42) 
Breast cancer risk adjusted by age at menopause and stratified by hormone replacement therapy
nIIIDDD
All 3,724 Reference 1.23 (0.75-2.03) 1.80 (1.07-3.01)* 
No use of hormone replacement therapy 3,280 Reference 1.60 (0.90-2.84) 2.13 (1.18-3.86)* 
Use hormone replacement therapy 444 Reference 0.25 (0.07-0.913)* 0.79 (0.26-2.42) 
*

P < 0.05.

Figure 2.

Cancer-free survival by ACE I/D polymorphism.

Figure 2.

Cancer-free survival by ACE I/D polymorphism.

Close modal

We conducted an association study to evaluate the relationship between the ACE I/D polymorphism and the risk of breast cancer, and we did so in two steps. Our analysis showed that DD carriers have an increased risk of developing breast cancer. When analyzing this group, all further adjusted models showed significantly increased risks for DD carriers when compared with II carriers. We also report a linear increase of breast cancer risk with the presence of the D allele of I/D polymorphism in the ACE gene.

For premenopausal women, the BRCA 1 and BRCA 2 genes have been associated with an increased risk for breast cancer (5, 27, 30-32). A vast literature suggests that variants in genes that regulate cell growth are involved in the development of this disease (5, 33). Moreover, several studies have shown that angiotensin II acts as a growth factor in normal and breast cancer cells through phospholipase C activation (8, 34-37). Koh et al. (17) conducted a study among Chinese postmenopausal women in which they found that individuals carrying the II genotype had a significantly reduced risk of breast cancer independently of environmental and other familial risk factors for the disease. On the other hand, Haiman et al. (38) did a case-control study in a multiethnic cohort where they observed a modest positive association between the II genotype and breast cancer risk in African Americans. They did not, however, see the association consistently in all ethnic groups. Furthermore, although they had a large sample within each ethnic group, it was not large enough to evaluate ethnic specific risks, and their patients included both premenopausal and postmenopausal women.

A large number of polymorphisms are known in the ACE gene. Here, we only tested the ACE I/D polymorphism in intro 16. It has been previously reported that in a subset of our population, this polymorphism explains around 28% of the variability of plasma ACE levels (39). Furthermore, this polymorphism is in strong linkage disequilibrium with the functional ones in this gene, as measured as the relation to ACE levels or cardiovascular disease outcomes (15, 16). The strong linkage disequilibrium implies that testing additional markers will yield little extra information.

Thus far, and to our knowledge, no follow-up study has been done to assess breast cancer–free survival by ACE I/D genotype. Our study is the first to investigate the risk of breast cancer longitudinally, and find that it was significantly increased in DD versus II carriers independently of all our proposed known risk factors. Hormone replacement therapy and parity did not weaken our association between the I/D polymorphism and breast cancer risk.

Our results suggest that the ACE I/D polymorphism may play an important role as susceptibility factor in breast cancer risk and disease-free survival in Caucasian postmenopausal women.

Grant support: The Netherlands Organization for Scientific Research grant 904-61-196, EUR Fellowship (O. Njajou), and Centre of Medical Systems Biology grant 297-2003 (A. Arias Vasquez). The Rotterdam Study is supported by the Erasmus Medical Center and Erasmus University Rotterdam; the Netherlands Organization for Scientific Research; the Netherlands Organization for Health Research and Development; Research Institute for Diseases in the Elderly; Ministry of Education, Culture and Science; Ministry of Health, Welfare, and Sports; European Commission (DG XII); and Municipality of Rotterdam.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

Note: A. Arias Vásquez contributed with the design of the study and also participated in the data analyses along with F.A. Sayer-Tabatabaei and C. van Duijn, who participated in the design and writing of the manuscript. J.W. Coebergh, B. Stricker, and A. Hofman aided in the data collection and the writing of the manuscript as well.

We thank Frank van Rooij for help in the writing process of this paper.

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