Physical activity reduces breast cancer risk. Promoter hypermethylation of the tumor suppressor genes APC and RASSF1A, which is potentially reversible, is associated with breast cancer risk. We conducted a cross-sectional study in 45 women without breast cancer to determine the association of physical activity with promoter hypermethylation of APC and RASSF1A in breast tissue. We used quantitative methylation-specific PCR to test the methylation status of APC and RASSF1A, and questionnaires to assess study covariates and physical activity (measured in metabolic equivalent hours per week). In univariate analyses, the study covariate, benign breast biopsy number, was positively associated with promoter hypermethylation of APC (P = 0.01) but not RASSF1A. Mulitvariate logistic regression indicated that, although not significant, physical activities for a lifetime [odds ratio (OR), 0.57; 95% confidence interval (95% CI), 0.22-1.45; P = 0.24], previous 5 years (OR, 0.62; 95% CI, 0.34-1.12; P = 0.11), and previous year (OR, 0.72; 95% CI, 0.43-1.22; P = 0.22) were inversely related to promoter hypermethylation of APC but not RASSF1A for all physical activity measures. Univariate logistic regression indicated that physical activities for a lifetime, previous 5 years, and previous year were inversely associated with benign breast biopsy number, and these results were approaching significance for lifetime physical activity (OR, 0.41; 95% CI, 0.16-1.01; P = 0.05) and significant for physical activity in the previous 5 years (OR, 0.57; 95% CI, 0.34-0.94; P = 0.03). The study provides indirect evidence supporting the hypothesis that physical activity is inversely associated with promoter hypermethylation of tumor suppressor genes, such as APC, in nonmalignant breast tissue. (Cancer Epidemiol Biomarkers Prev 2007;16(2):192–6)

Past observational studies have shown that physical activity reduces breast cancer risk among premenopausal and postmenopausal women and women of diverse races and ethnicities (1-4). Several of these studies showed that women who engage in 3 to 4 h per week of moderate to vigorous levels of exercise have a 30% to 40% lowered risk for breast cancer, ranging up to 70% for the most active women. In one study, physical activity was associated with a decreased risk for receptor-positive (estrogen receptor/progesterone receptor–positive) and receptor-negative (estrogen receptor/progesterone receptor–negative) breast cancers in premenopausal and postmenopausal women (3). Physical activity at adolescence was also found to be associated with a delayed age at breast cancer onset among women with BRCA1 and BRCA2 mutations, which are inherited risk factors for breast cancer (4).

It is thought that the relationship between physical activity and breast cancer risk may have a hormonal mechanism. Exercise interventions have been shown to decrease circulating estrogen levels in premenopausal and postmenopausal women (5, 6). High endogenous estrogen levels have been shown to be positively associated with breast cancer recurrence in postmenopausal women (7) and are linked to an increased risk for primary breast cancer (8, 9).

There is also growing evidence that estrogens play a dual role in the etiology of breast cancer: by stimulating cell proliferation (10) and by silencing genes implicated in breast carcinogenesis (11-13). DNA methylation in the promoter regions of tumor suppressor genes is a frequent mechanism of transcriptional silencing in breast cancer, as well as other cancers. This process has also been referred to as “epigenetic” and is potentially reversible (14). Cells that have accumulated these epigenetic alterations are prone to becoming tumor cells (14). Although the relationship between estrogen and the methylation of genes is unknown, there is some evidence that estrogen alters the methylation patterns of genes. Studies in mice have shown that diethylstilbestrol (15) and estradiol (16) elicit genetic methylation changes that result in heavier uteri (15) and uterine tumors (16). Recently, it was shown that estradiol and diethylstilbestrol induced promoter hypermethylation of the putative tumor suppressor genes E-cadherin and p16 in nontumor human breast cells (12).

There is direct evidence that promoter hypermethylation of several tumor suppressor genes is associated with breast carcinogenesis (14). Studies have shown that promoter hypermethylation of the putative tumor suppressor genes APC, RASSF1A, RARβ2, H-cadherin, and HIN1 occurs more frequently in breast cancer than in nonmalignant breast tissue adjacent to the breast cancer, and, although less frequent, these changes have been noted in the breast tissues of women without breast cancer (17-24). In a study, among women without breast cancer, it was shown that promoter hypermethylation of APC and RASSF1A was positively associated with the number of benign breast biopsies, classifying age as <50 or ≥50 years (24), as defined by the Gail mathematical model for breast cancer risk (25). Two or more benign breast biopsies before the age of 50 years has been shown to be strongly associated with breast cancer risk in several large prospective studies (26-29).

Several studies have shown that when breast cancer cells with promoter hypermethylation of APC, RASSF1A, and RARβ2 are treated with the DNA methyltransferase inhibitor 5-aza-2′-deoxycytidine, this leads to their demethylation and reexpression (18, 19, 30). Alternatively, lifestyle changes may reverse promoter methylation of tumor suppressor genes. A recent study found that two common catechol-containing polyphenols, caffeic acid and chlorogenic acid, partially inhibited methylation of the promoter region of the RARβ2 gene in cultured MCF-7 and MDA-MB-231 human breast cancer cells (31).

Thus, because physical activity is associated with reduced breast cancer risk and lower circulating estrogen levels among premenopausal and postmenopausal women, and that estrogen may induce promoter hypermethylation of APC and RASSF1A in breast tissue, which are epigenetic markers of breast cancer risk, it is possible that physical activity decreases or reverses promoter hypermethylation of these tumor suppressor genes in nonmalignant breast tissue. Using this rationale, we conducted a cross-sectional study of premenopausal and postmenopausal women to investigate the a priori hypothesis that physical activity is inversely associated with promoter hypermethylation of tumor suppressor genes, such as APC and RASSF1A, in nonmalignant breast tissue. A related a priori hypothesis was that promoter hypermethylation of tumor suppressor genes, such as APC and RASSF1A, in nonmalignant breast tissue is positively associated with circulating estrogen levels. We assessed physical activity over a lifetime, as well as in the previous 5 years and the previous year, because gene promoter hypermethylation is potentially reversible over shorter intervals of time.

Study Design

The cross-sectional study involved premenopausal and postmenopausal women without breast cancer. The purpose of the study was to determine the association of (a) lifetime physical activity, (b) physical activity over the previous 5 years, and (c) physical activity over the previous year with the study outcome, promoter hypermethylation of APC and RASSF1A in nonmalignant breast tissue.

Study Population

The women that participated in this study were patients from The University of Texas Southwestern Mary L. Brown Genetics and Risk Assessment Center. One hundred six women without breast cancer underwent bilateral random periareolar fine-needle aspirate biopsies from 2000 through 2004 to determine the methylation status of APC and RASSF1A in their breast tissues. The University of Texas Southwestern Medical Center at Dallas institutional review board approved the study.

Assessment of Physical Activity and Factors Associated with Breast Cancer Risk

Lifetime physical activity was determined in these women up until the time of the breast fine-needle aspirate biopsies using an interviewer-administered questionnaire. This questionnaire uses cognitive recall and is reliable in terms of recall, including all types of physical activity (occupation, household, and exercise and sports activities) and measurement variables (frequency, intensity, and duration; ref. 32). Based on a compendium of physical activities and their associated metabolic equivalents (MET; ref. 33), we used MET-hours per week as the measure of physical activity during a lifetime, as well as in the previous 5 years and the previous year. One MET is defined as the energy expenditure for sitting quietly, which for the average adult is ∼3.5 mL of oxygen × kg of body weight−1 × min−1 or kcal × kg of body weight−1 × height−1 (33).

Selected factors associated with breast cancer risk [age, age at menarche, parity, body mass index (BMI), number of biopsies for benign breast disease, family history of breast cancer in a first-degree relative, and menopausal status; refs. 34-36] were covariates for the study and were obtained with an interviewer-administered questionnaire.

Seventy-four women had up-to-date contact information (phone and address). The response rate for the study questionnaires was 61% (n = 45).

Assessment of Gene Methylation Status

We obtained breast epithelial cells using bilateral random periareolar fine-needle aspirate biopsies (37). Breast epithelial cells derived from the breast fine-needle aspirate biopsies were examined by cytology to exclude breast cancer cases. Genomic DNA from breast epithelial cells was used to run quantitative methylation-specific PCR (23) to determine whether the methylation status of APC and RASSF1A was positive or negative. The methylation status of a gene was scored as positive if >1% of the gene copies had promoter hypermethylation in one or both breasts. Using the cutoff of >1% methylated gene copies for APC and RASSF1A, we observed a significant difference in the incidence of promoter hypermethylation positivity between breast carcinoma (n = 40) and nonmalignant breast tissues (n = 106) obtained by fine-needle aspirate biopsy, with P = 0.0002 for APC and P < 0.0001 for RASSF1A.4

4

D. Euhus, D. Bu, R. Ashfaq, C. Lewis, unpublished data.

Statistical Analysis

We used Microsoft Access to create the study database. We used Fisher's exact test and χ2 test to determine the association of the covariates [age, age at menarche, parity, body mass index (BMI), number of biopsies for benign breast disease, first-degree history of breast cancer, and menopausal status] with the study outcome, promoter hypermethylation of APC and RASSF1A in nonmalignant breast tissue, and the study covariate, number of benign breast biopsies. We used logistic regression analysis to determine the association of the study predictor variable, physical activity (lifetime physical activity, physical activity over the previous 5 years, and physical activity over the previous year), with the study outcome and the study covariate, number of benign breast biopsies, adjusting for covariates when they were significantly associated with the study outcome at P < 0.05. We used Statistical Analysis Software version 9.0 for all of the analyses.

Table 1 presents the study participant characteristics in terms of breast cancer risk and menopausal status. All of the study participants were White with a mean age of 43 years; their mean BMI did not exceed or fall below the healthy weight range (>25 kg/m2; ref. 38); their alcohol intake was not considered to be excessive (<15 g/d; ref. 34); and their age at menarche and parity status were representative of the general female population (25, 34). However, a large proportion of the study participants had a higher frequency of two breast cancer risk factors (25), a history of benign breast biopsies (29%) and a higher family history of breast cancer in a first-degree relative (78%; ref. 39). In addition, the study participants had a high frequency for another breast cancer risk factor, a history of exogenous estrogen use (oral contraceptives at 91% and hormone replacement therapy at 62%, if postmenopausal; refs. 40, 41). In addition, 4 of 45 (9%) women had taken the antiestrogen tamoxifen sometime in the past.

Table 1.

Study participant characteristics (N = 45)

Age, y (mean ± SD) 43 ± 7 
Race/ethnicity  
    White 45 (100%) 
    Non-White 0 (0%) 
Age at menarche, y (mean ± SD) 12 ± 2 
Parity (mean ± SD) 1 ± 1.1 
BMI, kg/m2 (mean ± SD) 23 ± 5 
Lifetime physical activity, MET-h/wk/y (mean ± SD) 89.4 ± 14.0 
Benign breast biopsies 13 (29%) 
Family history of breast cancer  
    Yes 35 (78%) 
    No 10 (22%) 
Alcohol (≥15 g/d)  
    Yes 0 (0%) 
    No 45 (100%) 
Oral contraceptive use  
    Ever 41 (91%) 
    Never 4 (9%) 
Antiestrogen  
    Ever 4 (9%) 
    Never 41 (91%) 
Postmenopausal 16 (36%) 
    Hormone replacement therapy 10 (62%) 
Tumor suppressor gene promoter hypermethylation  
    APC 10 (22%) 
    RASSF1A 12 (27%) 
Age, y (mean ± SD) 43 ± 7 
Race/ethnicity  
    White 45 (100%) 
    Non-White 0 (0%) 
Age at menarche, y (mean ± SD) 12 ± 2 
Parity (mean ± SD) 1 ± 1.1 
BMI, kg/m2 (mean ± SD) 23 ± 5 
Lifetime physical activity, MET-h/wk/y (mean ± SD) 89.4 ± 14.0 
Benign breast biopsies 13 (29%) 
Family history of breast cancer  
    Yes 35 (78%) 
    No 10 (22%) 
Alcohol (≥15 g/d)  
    Yes 0 (0%) 
    No 45 (100%) 
Oral contraceptive use  
    Ever 41 (91%) 
    Never 4 (9%) 
Antiestrogen  
    Ever 4 (9%) 
    Never 41 (91%) 
Postmenopausal 16 (36%) 
    Hormone replacement therapy 10 (62%) 
Tumor suppressor gene promoter hypermethylation  
    APC 10 (22%) 
    RASSF1A 12 (27%) 

In the univariate analyses, only two of the selected study participant characteristics that have been found to be associated with breast cancer risk (34-36) were associated with promoter hypermethylation of APC and RASSF1A (Table 2). Increasing age at menarche (P = 0.01 and P = 0.04 for ages 12-13 and ≥14 years, respectively) and ≥2 benign biopsies (P = 0.01) were positively and significantly associated with promoter hypermethylation of APC. None of the study participant characteristics listed in Table 2 were found to be significantly associated with the number of benign breast biopsies.

Table 2.

Selected study participant (N = 45) factors associated with promoter hypermethylation of APC and RASSF1A

FactorsPromoter hypermethylation
APC
RASSF1A
n (%)Pn (%)P
Age, y     
    <50 8 (27)  9 (30)  
    ≥50 3 (20) 0.73 5 (33) 1.00 
Age at menarche, y     
    <12 0 (0)  4 (29)  
    12-13 8 (35) 0.01 6 (26) 1.00 
    ≥14 3 (38) 0.04 4 (50) 0.39 
Parity     
    0 3 (30)  2 (20)  
    1-2 7 (29) 1.00 8 (33) 0.68 
    >2 1 (9) 0.31 4 (36) 0.64 
Postmenopausal     
    Yes 5 (17)  8 (28)  
    No 6 (38) 0.16 6 (38) 0.52 
BMI, kg/m2     
    <25 7 (28)  9 (36)  
    ≥25 4 (20) 0.73 5 (25) 0.43 
No. benign breast biopsies     
    0 5 (16)  8 (26)  
    1-2 1 (14) 1.00 2 (29) 1.00 
    >2 5 (71) 0.01 4 (57) 0.18 
Family history of breast cancer     
    Yes 2 (20)  2 (20)  
    No 9 (26) 1.00 12 (34) 0.47 
FactorsPromoter hypermethylation
APC
RASSF1A
n (%)Pn (%)P
Age, y     
    <50 8 (27)  9 (30)  
    ≥50 3 (20) 0.73 5 (33) 1.00 
Age at menarche, y     
    <12 0 (0)  4 (29)  
    12-13 8 (35) 0.01 6 (26) 1.00 
    ≥14 3 (38) 0.04 4 (50) 0.39 
Parity     
    0 3 (30)  2 (20)  
    1-2 7 (29) 1.00 8 (33) 0.68 
    >2 1 (9) 0.31 4 (36) 0.64 
Postmenopausal     
    Yes 5 (17)  8 (28)  
    No 6 (38) 0.16 6 (38) 0.52 
BMI, kg/m2     
    <25 7 (28)  9 (36)  
    ≥25 4 (20) 0.73 5 (25) 0.43 
No. benign breast biopsies     
    0 5 (16)  8 (26)  
    1-2 1 (14) 1.00 2 (29) 1.00 
    >2 5 (71) 0.01 4 (57) 0.18 
Family history of breast cancer     
    Yes 2 (20)  2 (20)  
    No 9 (26) 1.00 12 (34) 0.47 

The multivariate and univariate logistic regression analysis results were related to the association of the study predictor variable, physical activity (measured in MET-hours per week) for a lifetime, over the previous 5 years, and the previous year, with the study outcome and the covariate, number of benign breast biopsies, as follows. Although not significant, lifetime physical activity [odds ratio (OR), 0.57; 95% confidence interval (95% CI), 0.22-1.45; P = 0.24], physical activity in the previous 5 years (OR, 0.62; 95% CI, 0.34-1.12; P = 0.11), and physical activity in the previous year (OR, 0.72; 95% CI, 0.43-1.22; P = 0.22) were inversely related to promoter hypermethylation of APC in nonmalignant breast tissue (Table 3). In comparison, the association of physical activities for a lifetime (OR, 1.09; 95% CI, 0.60-1.98, P = 0.77), previous 5 years (OR, 0.93; 95% CI, 0.68-1.25; P = 0.62), and previous year (OR, 1.07; 95% CI, 0.79-1.46; P = 0.66) with promoter hypermethylation of RASSF1A in nonmalignant breast tissue was not only nonsignificant but also was weak and unclear on direction (Table 3). However, as noted in Table 4, the physical activity components assessed were inversely associated with the study covariate, number of benign breast biopsies, which was trending toward significance for lifetime physical activity (OR, 0.41; 95% CI, 0.16-1.01; P = 0.05) and was significant for physical activity in the last 5 years (OR, 0.57; 95% CI, 0.34-0.94; P = 0.03).

Table 3.

Association of physical activity with promoter hypermethylation of APC and RASSF1A (N = 45)

Physical activity (MET-h/wk)Promoter hypermethylation
APC*
RASSF1A
OR (95% CI), POR (95% CI), P
Lifetime 0.57 (0.22-1.45), 0.24 1.09 (0.60-1.98), 0.77 
Previous 5 y 0.62 (0.34-1.12), 0.11 0.93 (0.68-1.25), 0.62 
Previous year 0.72 (0.43-1.22), 0.22 1.07 (0.79-1.46), 0.66 
Physical activity (MET-h/wk)Promoter hypermethylation
APC*
RASSF1A
OR (95% CI), POR (95% CI), P
Lifetime 0.57 (0.22-1.45), 0.24 1.09 (0.60-1.98), 0.77 
Previous 5 y 0.62 (0.34-1.12), 0.11 0.93 (0.68-1.25), 0.62 
Previous year 0.72 (0.43-1.22), 0.22 1.07 (0.79-1.46), 0.66 
*

Adjusted for age at menarche and number of benign breast biopsies.

Table 4.

Association of physical activity with number of benign breast biopsies (N = 45)

Physical activity (MET-h/wk)No. benign breast biopsies
OR (95% CI)P
    Lifetime 0.41 (0.16-1.01) 0.05 
    Previous 5 y 0.57 (0.34-0.94) 0.03 
    Previous year 0.77 (0.52-1.15) 0.20 
Physical activity (MET-h/wk)No. benign breast biopsies
OR (95% CI)P
    Lifetime 0.41 (0.16-1.01) 0.05 
    Previous 5 y 0.57 (0.34-0.94) 0.03 
    Previous year 0.77 (0.52-1.15) 0.20 

NOTE: Not adjusted for age, age at menarche, parity, menopausal status, BMI, and family history of breast cancer due to their insignificant association with number of benign breast biopsies.

The study indicates that lifetime physical activity and physical activity in the previous 5 years and the previous year were inversely associated with promoter hypermethylation of APC in nonmalignant breast tissue, with the trend toward significance being stronger when assessed in the 5-year period before the assessment of promoter hypermethylation of APC in nonmalignant breast tissue. Furthermore, similar results were noted when the relationship between these physical activity measurements and the study covariate, number of benign breast biopsies, was determined, with nearly significant and significant results for the inverse relationship of lifetime physical activity (P = 0.05) and physical activity in the previous 5 years (P = 0.03), respectively. Promoter hypermethylation of APC in nonmalignant breast tissue, as a measure of breast cancer risk, was also positively and significantly associated with the number of benign breast biopsies, as was noted previously by Lewis et al. (24). Thus, the significant and positive relationship between the number of benign breast biopsies and promoter hypermethylation of APC and the significant inverse relationship between lifetime physical activity and number of breast biopsies imply that there is an inverse relationship between promoter hypermethylation of APC and physical activity. In addition, promoter hypermethylation of APC in nonmalignant breast tissue was positively and significantly associated with later age at menarche, which for unknown reasons has previously been reported to increase breast cancer risk among women with benign breast disease, as opposed to later age at menarche decreasing the risk for breast cancer among women without benign breast disease (42).

Study limitations were likely due to a small sample size, possible physical activity exposure misclassification due to inaccurate study participant recall, and not accounting for all of the confounders. However, we did account for the most important known confounders in the analysis based on a literature review (34-36). One possible confounder that we did not account for in the data analyses was a history of antiestrogen use (tamoxifen) because its effect on the methylation status of tumor suppressor genes involved in breast carcinogenesis is unknown. Thus, if tamoxifen was a confounder, we expect that it would have reduced or reversed the promoter hypermethylation of APC and RASSF1A, further limiting our chances for identifying a significant inverse association between physical activity and promoter hypermethylation of these tumor suppressor genes. However, the major limitation for the study was that the study design was not ideal for identifying a dose-response relationship between higher levels of physical activity and the outcomes assessed, primarily because of the homogeneity of the study population in terms of a low physical activity variance, as noted in Table 1 (mean lifetime physical activity, 89.4 ± 14.0 MET-h/wk), compared with a previously published result for women without breast cancer in a population-based study that used the same physical activity measure (127.8 ± 45.5 MET-h/wk; ref. 43). In addition, the study sample size was not large enough to investigate the effect of different physical activity intensities on promoter hypermethylation of APC and RASSF1A. A large cohort study (N = 90,509) among women at high risk for breast cancer and between the ages of 40 and 65 years showed that higher levels of intensity for physical activity were associated with a greater risk reduction in breast cancer (44). In addition, other genes, besides APC and RASSF1A, that undergo promoter hypermethylation during breast carcinogenesis may also be important markers of breast cancer risk; however, because their status as markers of breast cancer risk is unknown, they were not included in the study.

Thus, although the study did not provide significant results about the association of physical activity with APC and RASSF1A promoter methylation status in nonmalignant breast tissue, it does provide indirect evidence to suggest that physical activity is inversely associated with promoter hypermethylation of APC in nonmalignant breast tissue. The basis for the inverse association of physical activity and promoter hypermethylation of tumor suppressor genes implicated in breast carcinogenesis, such as APC, is unknown; however, it is possible that physical activity prevents promoter hypermethylation of this tumor suppressor gene by decreasing circulating estrogen levels. Exercise interventions have been shown to decrease circulating estrogen levels in premenopausal and postmenopausal women (5, 6), and higher endogenous estrogen levels are linked with an increased risk for primary breast cancer (8, 9). There is also growing evidence that estrogens induce promoter hypermethylation of tumor suppressor genes implicated in breast carcinogenesis (12). Furthermore, given the overall study results, we believe that a randomized study would be the most effective and efficient approach to determine the effect of exercise on epigenetic markers for breast cancer risk, making provisions in the study to store tissue specimens that can be used in the future to study new markers of breast cancer risk. In addition, assessing the effect of exercise on circulating estrogen levels and their relationship with the promoter methylation status of APC and RASSF1A in nonmalignant breast tissue would provide data to further characterize the biological mechanisms involved in the development of breast cancer.

Additional support for conducting a randomized study in human subjects to test the effect of exercise on the promoter methylation status of APC and RASSF1A in nonmalignant breast tissue and potentially other genetic and molecular markers of breast cancer risk is that increasing intensity and duration of exercise have been shown to have a dose-dependent protective effect against carcinogen-induced mammary tumor progression in rats with N-methyl-N-nitrosourea (MNU) and 7,12-dimethylbenz(a)anthracene (DMBA; ref. 45). The study also showed that higher exercise intensity reduced mammary tumor occurrence induced by DMBA, but not by MNU, which may be due to an increase in DMBA metabolic deactivation because it requires metabolic activation by the mixed function oxidase system whereas MNU is a direct acting carcinogen (46). Thus, although the mechanism by which exercise decreases the progression of mammary carcinogens in this study is unknown, it is possible that exercise may promote the reversal or decrease in epigenetic changes induced by DMBA and MNU, such as tumor suppressor gene promoter hypermethylation.

Recent studies have shown that DMBA and MNU, as well as diethylstilbestrol and estradiol, induce promoter hypermethylation of tumor suppressor genes for which there is direct evidence that these epigenetic changes play a role in breast carcinogenesis (14). A recent study observed that there was reduced FHIT expression and FHIT promoter hypermethylation in rat mammary tumors induced by DMBA and MNU, and that these changes were reversed with the demethylating agent 5′-aza-2′-deoxycytidine (47). Thus, this study supports testing the hypothesis that physical activity is inversely associated with promoter hypermethylation of APC and RASSF1A in nonmalignant breast tissue. In addition, because diethylstilbestrol and estradiol have been shown to induce promoter hypermethylation of the tumor suppressor genes p16 and E-cadherin in nontumor human breast cells (12), another hypothesis related to the study's hypothesis is that promoter hypermethylation of APC and RASSF1A in nonmalignant breast tissue is positively associated with circulating estrogen levels.

The study presents some of the first evidence to support testing the hypothesis that physical activity is inversely associated with promoter hypermethylation of tumor suppressor genes, such as APC and RASSF1A, in nonmalignant breast tissue. In addition, other genes that are known to undergo promoter hypermethylation during breast carcinogenesis and are likely to be associated with breast cancer risk need to be included, along with APC and RASSF1A, when testing this hypothesis in future studies. The study also indicates that a randomized exercise intervention study among women at high risk for breast cancer would provide the best opportunity to test this hypothesis, as well as to determine the relationship between promoter hypermethylation of these tumor suppressor genes and circulating estrogen levels. Furthermore, the results of the study emphasize the importance for further investigation on the association of physical activity with epigenetic markers for breast cancer, as well as other cancers for which there is evidence that physical activity reduces the risk for their development, because exercise interventions are safe and inexpensive and can easily be adopted by individuals in their own personal environments.

Grant support: American Cancer Society grant CCE-101601, CREW Dallas, and Clay Weed Memorial Trust Fund.

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.

We thank Aihua Bian for managing the study's database and carrying out the data analyses for the study, and John D. Minna for his review of the manuscript.

1
McTiernan A. Behavioral risk factors in breast cancer: can risk be modified?
Oncologist
2003
;
8
:
326
–34.
2
Holmes MD, Chen WY, Feskanich D, Kroenke C, Colditz G. Physical activity and survival after breast cancer diagnosis.
JAMA
2005
;
293
:
2479
–86.
3
Adams SA, Matthews CE, Hebert JR, et al. Association of physical activity with hormone receptor status: the Shanghai Breast Cancer Study.
Cancer Epidemiol Biomarkers Prev
2006
;
15
:
1170
–8.
4
King M-C, Marks JH, Mandell JB. Breast and ovarian cancer risk due to inherited mutations in BRCA1 and BRCA2.
Science
2003
;
302
:
643
–6.
5
Hoffman-Goetz L, Apter D, Demark-Wahnefried W, Goran MI, McTiernan A, Reichman ME. Possible mechanisms mediating an association between physical activity and breast cancer.
Cancer
1998
;
83
:
621
–8.
6
McTiernen A, Tworoger SS, Ulrich CM, et al. Effect of exercise on serum estrogens in postmenopausal women: a 12-month randomized trial.
Cancer Res
2004
;
64
:
2923
–8.
7
Lonning PE, Helle SI, Johhannessen DC, Ekse D, Aldercreutz H. Influence of plasma estrogen levels on the length of the disease-free interval in postmenopausal women with breast cancer.
Breast Cancer Res Treat
1996
;
39
:
335
–41.
8
Toniolo PG, Levitz M, Zeleniuch-Jacquotte A, et al. A prospective study of endogenous estrogens and breast cancer in postmenopausal women.
J Natl Cancer Inst
1995
;
87
:
190
–7.
9
Dorgan JF, Longcope C, Stephenson HE, et al. Relation of prediagnostic serum estrogen and androgen levels to breast cancer risk.
Cancer Epidemiol Biomarkers Prev
1996
;
5
:
533
–9.
10
Russo J, Hu Y-F, Yang X, Russo IH. Chapter 1: Developmental, cellular, and molecular basis of human breast cancer.
J Natl Cancer Inst Monogr
2000
;
27
:
17
–37.
11
Klein CB, Costa M. DNA methylation, heterochromatin and epigenetic carcinogens.
Mutat Res
1997
;
386
:
163
–80.
12
Klein CB, Leszczynska J. Estrogen-induced DNA methylation of E-cadherin and p16 in non-tumor breast cells.
Proc Am Assoc Cancer Res
2005
;
46
:
2744
.
13
Fernandez SV, Wu Y-Z, Russo IH, Plass C, Russo J. The role of DNA methylation in estrogen-induced transformation of human breast epithelial cells.
Proc Am Assoc Cancer Res
2006
;
47
:
1590
.
14
Widschwendter M, Jones PA. DNA methylation and breast carcinogenesis.
Oncogene
2001
;
21
:
5462
–82.
15
Li S, Ma L, Chiang TC, et al. Promoter CpG methylation of Hox-a10 and Hox-a11 in mouse uterus not altered upon neonatal diethylstilbestrol exposure.
Mol Carcinog
2001
;
32
:
213
–9.
16
Alworth LC, Howdeshell KL, Ruhlen RL, et al. Uterine responsiveness to estradiol and DNA methylation are altered by fetal exposure to diethylstilbestrol and methoxychlor in CD-1 mice: effects of low versus high doses.
Toxicol Appl Pharmacol
2002
;
183
:
10
–22.
17
Jin Z, Tamura G, Tsuchiya T, et al. Adenomatous polyposis coli (APC) gene promoter hypermethylation in primary breast cancers.
Br J Cancer
2001
;
85
:
69
–73.
18
Virmani AK, Rathi A, Sathyanarayana UG, et al. Aberrant methylation of the adenomatous polyposis coli (APC) gene promoter 1A in breast and lung carcinomas.
Clin Cancer Res
2001
;
7
:
1998
–2004.
19
Burbee DG, Forgacs E, Zöchbauer-Müller S, et al. Epigenetic inactivation of RASSF1A in lung and breast cancers and malignant phenotype suppression.
J Natl Cancer Inst
2001
;
93
:
691
–9.
20
Dammann R, Yang G, Pfeifer GP. Hypermethylation of the CpG island of ras association domain family 1A (RASSF1A), a putative tumor suppressor gene from the 3p21.3 locus, occurs in a large percentage of human breast cancers.
Cancer Res
2001
;
61
:
3105
–9.
21
Honorio S, Agathanggelou A, Schuermann M, et al. Detection of RASSF1A aberrant promoter hypermethylation in sputum from chronic smokers and ductal carcinoma in situ from breast cancer patients.
Oncogene
2003
;
22
:
147
–50.
22
Pu RT, Laitala LE, Alli PM, Fackler MJ, Sukumar S, Clark DP. Methylation profiling of benign and malignant breast lesions and its application to cytopathology.
Mod Pathol
2003
;
16
:
1095
–101.
23
Fackler MJ, McVeigh M, Mehrotra J, et al. Quantitative multiplex methylation-specific PCR assay for the detection of promoter hypermethylation in multiple genes in breast cancer.
Cancer Res
2004
;
64
:
4442
–52.
24
Lewis CM, Cler LR, Bu D-W, et al. Promoter hypermethylation in benign breast epithelium in relation to predicted breast cancer risk.
Clin Cancer Res
2005
;
11
:
166
–72.
25
Gail MH, Brinton LA, Byar DP, et al. Projecting individualized probabilities of developing breast cancer for white females who are being examined annually.
J Natl Cancer Inst
1989
;
81
:
1879
–86.
26
Costantino JP, Gail MH, Pee D, et al. Validation studies for models projecting the risk of invasive and total breast cancer incidence.
J Natl Cancer Inst
1999
;
91
:
1541
–8.
27
Bondy ML, Lustbader ED, Halabi S, Ross E, Vogel VG. Validation of a breast cancer risk assessment model in women with a positive family history.
J Natl Cancer Inst
1994
;
86
:
620
–5.
28
Spiegelman D, Colditz GA, Hunter D, Hertzmark E. Validation of the Gail et al. Model for predicting individual breast cancer risk.
J Natl Cancer Inst
1994
;
86
:
600
–7.
29
Rockhill B, Spiegelman D, Byrne C, Hunter DJ, Colditz GA. Validation of the Gail et al. Model of breast cancer risk prediction and implications for chemoprevention.
J Natl Cancer Inst
2001
;
93
:
358
–66.
30
Sirchia SM, Ren M, Pili R, et al. Endogenous reactivation of the RARβ2 tumor suppressor gene epigenetically silenced in breast cancer.
Cancer Res
2002
;
62
:
2455
–61.
31
Lee WJ, Zhu BT. Inhibition of DNA methylation by caffeic acid and chlorogenic acid, two common catechol-containing coffee polyphenols.
Carcinognesis
2006
;
27
:
269
–77.
32
Friedenreich CM, Courneya KS, Bryant HE. The lifetime total physical activity questionnaire: development and reliability.
Med Sci Sports Exerc
1998
;
30
:
266
–74.
33
Ainsworth BE, Haskell WL, Leon AS, et al. Compendium of physical activities: classification of energy costs of human physical activities.
Med Sci Sports Exerc
1993
;
25
:
71
–80.
34
Key T, Verkasalo PK, Banks E. Epidemiology of breast cancer.
Lancet Oncol
2001
;
2
:
133
–40.
35
Claus EB, Stowe M, Carter D. Breast carcinoma in situ: risk factors and screening patterns.
J Natl Cancer Inst
2001
;
93
:
1811
–7.
36
Carpenter CL, Ross RK, Paganini-Hill A, Bernstein L. Effect of family history, obesity and exercise on breast cancer risk among postmenopausal women.
Int J Cancer
2003
;
106
:
96
–102.
37
Jerónimo C, Costa I, Martins MC, et al. Detection of gene promoter hypermethylation in fine needle washings from breast lesions.
Clin Cancer Res
2003
;
9
:
3413
–7.
38
Institute of Medicine National Research Council. Fulfilling the potential of cancer prevention and early detection. Washington (DC): The National Academies Press; 2001. p. 64.
39
Rockhill B, Weinberg CR, Newman B. Population attributable fraction estimation for established breast cancer risk factors: considering the issues of high prevalence and unmodifiability.
Am J Epidemiol
1998
;
147
:
826
–33.
40
Kumle M, Weiderpass E, Braaten T, et al. Use of oral contraceptives and breast cancer risk: the Norwegian-Swedish women's lifestyle and health cohort study.
Cancer Epidemiol Biomarkers Prev
2002
;
11
:
1175
–81.
41
Li CI, Malone KE, Porter PL, et al. Relationship between long durations and different regimens of hormone therapy and risk of breast cancer.
JAMA
2003
;
289
:
3254
–63.
42
Lubin JH, Brinton LA, Blot WJ, et al. Interactions between benign breast disease and other risk factors for breast cancer.
J Chron Dis
1983
;
36
:
525
–31.
43
Friedenreich C, Courneya KS, Bryant HE. Influence of physical activity in different age and life periods on the risk of breast cancer.
Epidemiology
2001
;
12
:
604
–12.
44
Tehard B, Friedenreich CM, Oppert J-M, Clavel-Chapelon F. Effect of physical activity on women at increased risk of breast cancer: results from the E3N cohort study.
Cancer Epidemiol Biomarkers Prev
2006
;
15
:
57
–64.
45
Thompson HJ. Effect of exercise intensity and duration on the induction of mammary carcinogenesis.
Cancer Res
1994
;
54
:
1960
–3s.
46
Welsch CW. Host factors affecting the growth of carcinogen-induced rat mammary carcinomas: a review and tribute to Charles Brenton Huggins.
Cancer Res
1985
;
45
:
3415
–43.
47
Guler G, Iliopoulos D, Han S-Y, et al. Hypermethylation patterns in the Fhit regulatory region are tissue specific.
Mol Carcinog
2005
;
43
:
175
–81.