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  • Research article
  • Open Access
  • Genetic polymorphism in the manganese superoxide dismutase gene, antioxidant intake, and breast cancer risk: results from the Shanghai Breast Cancer Study

    • 1Email author,
    • 1,
    • 1,
    • 2,
    • 1,
    • 2 and
    • 1
    Breast Cancer Research20046:R647

    https://doi.org/10.1186/bcr929

    • Received: 23 May 2004
    • Accepted: 9 August 2004
    • Published:

    Abstract

    Introduction

    It has been suggested that oxidative stress and mitochondrial DNA damage play important roles in breast cancer carcinogenesis. Manganese superoxide dismutase (MnSOD) is a major enzyme that is responsible for the detoxification of reactive oxygen species in the mitochondria. A T → C substitution in the MnSOD gene results in a Val → Ala change at the -9 position of the mitochondrial targeting sequence (Val-9Ala), which alters the protein secondary structure and thus affects transport of MnSOD into the mitochondria.

    Methods

    We evaluated this genetic polymorphism in association with breast cancer risk using data from the Shanghai Breast Cancer Study, a population-based case–control study conducted in urban Shanghai from 1996 to 1998. The MnSOD Val-9Ala polymorphism was examined in 1125 breast cancer cases and 1197 age-frequency-matched control individual.

    Results

    Breast cancer risk was slightly elevated in women with Ala/Ala genotype (odds ratio [OR] 1.3, 95% confidence interval [CI] 0.7–2.3), particularly among premenopausal women (OR 1.8, 95% CI 0.9–3.7), as compared with those with Val/Val genotype. The increased risk with the Ala/Ala genotype was stronger among premenopausal women with a higher body mass index (OR 2.5, 95% CI 0.9–7.0) and more years of menstruation (OR 2.6, 95% CI 0.8–8.0). The risk among premenopausal women was further increased twofold to threefold among those with a low intake of fruits, vegetables, vitamin supplements, selenium, or antioxidant vitamins, including carotenes and vitamins A, C, and E. However, the frequency of the Ala allele was low (14%) in the study population, and most of the ORs provided above were not statistically significant.

    Conclusion

    The present study provides some evidence that genetic polymorphism in the MnSOD gene may be associated with increased risk of breast cancer among Chinese women with high levels of oxidative stress or low intake of antioxidants. Studies with a larger sample size are needed to confirm the findings.

    Keywords

    • antioxidant
    • breast cancer
    • case-control study
    • MnSOD
    • polymorphism

    Introduction

    More than 90% of the body's oxygen is consumed by the electron transport chain in mitochondria [1], and about 1–5% of it is released as superoxide (O2 •-) and hydrogen peroxide (H2O2) [2]. Reactive oxygen species (ROS) may also be generated from estrogen metabolism through catechol estrogen redox cycling [3, 4]. Because of a high level of internally generated ROS, lack of histone protection, and a low level of DNA repair, mitochondrial DNA is particularly vulnerable to oxidative damage [5]. It has been suggested that mitochondrial DNA damage may play an important role in breast carcinogenesis [5, 6]. Manganese superoxide dismutase (MnSOD) and glutathione peroxidase (GPX) 1 are two major enzymes that are responsible for ROS detoxification in mitochondria [7, 8]. The MnSOD gene, which is composed of five exons and four introns, is localized to chromosome 6q25 [9, 10]. A T → C substitution, resulting in a Val → Ala change at the -9 position (Val-9Ala), which alters the secondary structure of the protein [11], has been noted to affect transport of MnSOD into the mitochondria [12, 13]. Another polymorphism (Ile58Thr) in exon 3 affects the stability of MnSOD and reduces protein amount and enzyme activity [14, 15]. Cells that over-expressed the Ile58 allele had higher MnSOD activity than did cells that over-expressed the Thr58 allele [16]. It is biologically plausible that the Val-9Ala and Ile58Thr polymorphisms play an important role in ROS detoxification, thus affecting the risk for developing cancer, particularly among individuals with a higher level of oxidative stress or who are deprived of other antioxidative protection, such as through a low level of antioxidant intake.

    Four studies examined the association of the Val-9Ala polymorphism with breast cancer risk, with mixed results [1720]. Two hospital-based case–control studies found a moderate elevation in risk among women carrying the Ala/Ala genotype [17, 18]. A population-based case–control study found no overall association with this polymorphism [19]. Recently, a case–control study conducted using data from the Ontario Familial Breast Cancer Registry found no association with this polymorphism [20]. All four studies were conducted among Caucasian women and had relatively small sample sizes, and most of them did not include a comprehensive assessment of environmental exposures or lifestyle data. Using data from the Shanghai Breast Cancer Study, a large-scale population-based case–control study conducted in urban Shanghai from 1996 to 1998, we evaluated the association of the MnSOD gene polymorphism with breast cancer risk, in conjunction with conditions related to oxidative stress and dietary intake of antioxidants.

    Methods

    Study participants

    The cases and control individuals evaluated in this study were participants of the Shanghai Breast Cancer Study, a population-based case–control study. Detailed study methods were published elsewhere [21]. Briefly, the study included 1459 women aged between 25 and 64 years, who were diagnosed with breast cancer between August 1996 and March 1998, and 1556 age-frequency-matched control individuals. The study protocol was approved by committees of all relevant institutions for the study of humans in research. All study participants were permanent residents of urban Shanghai who had no prior history of cancer and were alive at the time of interview. Through a rapid case ascertainment system, supplemented by the population-based Shanghai Cancer Registry, a total of 1602 eligible patients with breast cancer were identified during the study period, and interviews were completed in-person by 1459 (91%) of them. The major reasons for nonparticipation were refusal (109 [6.8%]), death before the interview (17 [1.1%]), and inability to locate the person (17 [1.1%]). Cancer diagnoses for all patients were confirmed by two senior study pathologists by review of tumor slides.

    Control individuals were selected using the Shanghai Resident Registry, a population registry containing demographic information for all residents of urban Shanghai, and were frequency matched for age (5-year intervals) to the expected age distribution of the cases in a 1:1 ratio. The inclusion criteria for control individuals were identical to those for the cases but with the exception of a diagnosis of breast cancer. Of the 1724 eligible women, 1556 (90.3%) completed interviews in-person. The remaining women were not included in the study either because of refusal (166 [9.6%]) or death before the interview (2 [0.1%]).

    A structured questionnaire was used to elicit detailed information on demographic factors, menstrual and reproductive histories, hormone use, dietary habits, prior disease history, physical activity, tobacco and alcohol use, weight, and family history of cancer. For all participants, current weight, circumference of the waist and hips, and height while sitting and standing were measured. Blood samples were obtained from 1193 (82%) cases and 1310 (84%) control individuals who completed in-person interviews. These samples were processed on the same day, typically within 6 hours of sample collection, and stored at -70°C until bioassays were performed.

    Usual dietary habits over the past 5 years were assessed by in-person interview, using a validated quantitative food frequency questionnaire [22, 23]. The food frequency questionnaire included 76 food items or groups, 30 fresh vegetables and nine fruits, covering over 85% of foods commonly consumed in Shanghai. During the in-person interview, each study participant was first asked how frequently she consumed a specific food or group of foods (daily, weekly, monthly, yearly, or never), followed by a question on how many liangs (= 50 g) of food were eaten per unit time (day, week, month, or year) during the previous 5-year period, ignoring any recent changes in usual dietary intake within the 5-year period. Total dietary intakes of vitamin A (mg), carotene (mg), vitamin C (mg), vitamin E (mg), and selenium (μg) were calculated based on data from the Chinese Food Composition Table [24].

    Genotyping method

    Genomic DNA was extracted from buffy coat fractions. The MnSOD genotypes were determined with PCR–restriction fragment length polymorphism methods, as reported previously [17, 25] but with some modification. Briefly, the primers for the Val-9Ala polymorphism were 5'-ACCAGCAGGCAGCTGGCGCCGG-3' (forward) and 5'-GCGTTGATGTGAGGTTCCAG-3' (reverse). The primers for the Ile58Thr polymorphism were 5'-AGCTGGTCCCATTATCTAATAG-3' (forward) and 5'-TCAGTGCAGGCTGAAGAGAT-3' (reverse). The PCR was performed in a PTC-200 Peltier Thermal Cycler (MJ Research Inc., Waltham, MA, USA). Each 20 μl of PCR mixture contained 5 ng DNA, 1× PCR buffer with 1.5 mmol/l MgCl2, 0.16 mmol/l each of dNTP, 0.5 μmol/l of each primer, and 1 unit of HotStarTaq™ DNA polymerase (Qiagen Inc., Valencia, CA, USA). The reaction mixture was initially denatured at 95°C for 15 min, followed by 35 cycles of 94°C for 30 s, 60°C for 30 s, and 72°C for 30 s. The PCR was completed by a final extension cycle at 72°C for 7 min. The PCR products were digested by the NgoMIV and EcoRV restriction endonucleases for the Val-9Ala and Ile58Thr polymorphisms, respectively. The DNA fragments were then separated using 3% Nusieve/Agarose gel and visualized by ethidium bromide staining.

    For the Val-9Ala polymorphism, the PCR product (107 bp) with C allele (Ala) was digested to two fragments (89 bp and 18 bp), whereas the PCR product with T allele (Val) cannot be cut by NgoMIV. For the Ile58Thr polymorphism the PCR product (139 bp) with T allele (Ile) was digested to two fragments (117 bp and 22 bp), whereas the PCR product with C allele (Thr) cannot be cut by EcoRV. No Ile58Thr polymorphism was found in 400 individuals in our study, and we did not perform genotyping for this polymorphism in all participants.

    The laboratory staff was blind to the identity of the participants. Quality control (QC) samples were included in the genotyping assays. Each 96-well plate contained one water, two CEPH 1347-02 DNA, two blinded QC DNA, and two unblinded QC DNA samples. The blinded and unblinded QC samples were taken from the second tube of study samples included in the study. The Val-9Ala genotypes determined for the blinded QC samples were in complete agreement with the genotypes determined for the study samples. Genotyping data were obtained from 1125 cases and 1197 control individuals. The major reasons for incomplete genotyping were insufficient DNA and unsuccessful PCR amplification.

    Statistic analysis

    To evaluate case–control differences for categorical data, including genotype distribution and continuous variables, χ2 test and t-test were used, respectively. Conditional logistic regression models adjusted for age were applied to estimate odds ratios (ORs) and 95% confidence intervals (CIs) to measure the strength of the association between the MnSOD gene Val-9Ala polymorphism and breast cancer risk [26, 27]. Analyses stratified by menopausal status and age were conducted to check homogeneity of the association. Additional analyses stratified by body mass index (BMI), years of menstruation, and intake of fruits, vegetables, vitamin supplements, selenium, or antioxidant vitamins were conducted to evaluate the potential modifying effects of these variables on the association between the MnSOD genotypes and breast cancer risk. A composite dietary antioxidant index was derived to incorporate information on intake of four antioxidant nutrients (i.e. selenium and vitamins A, C, and E) [28]. Intake of each antioxidant nutrient was first standardized by subtracting the mean and dividing by the standard deviation, and then the antioxidant index was created by summing the standardized intake of these four antioxidant nutrients with equal weight [28]. All statistical tests were two-sided.

    Results

    The distribution of selected demographic characteristics and major risk factors for breast cancer are shown in Table 1. Breast cancer cases and controls were similar in age and level of education. Elevated risks were observed for all known major breast cancer risk factors [29], including a prior history of breast fibroadenoma, physical inactivity, higher waist-to-hip ratio, higher BMI, early onset of menarche, late onset of menopause, and late age at first live birth. No apparent differences were found between individuals with genotyping data and those included in the whole study in any of the major known risk factors, demographic characteristics, and dietary antioxidant intake (data not shown), indicating that the chance of selection bias in this study is likely to be small.
    Table 1

    Comparisons of cases and controls by selected demographic characteristics and major risk factors in the Shanghai Breast Cancer Study

    Characteristic

    Cases (n = 1125)

    Controls (n = 1197)

    P-valuea

    Demographic factors

       

       Age (years [mean ± SD])

    47.63 ± 8.00

    47.20 ± 8.78

    0.217

       Education, lower than middle school (%)

    12.27

    14.79

    0.124

    Major risk factors

       

       Breast cancer in first-degree relatives (%)

    3.38

    2.26

    0.101

       Ever had breast fibroadenoma (%)

    9.78

    5.26

    < 0.001

       Age at menarche (years [mean ± SD])

    14.41 ± 1.64

    14.71 ± 1.73

    0.004

       Age at first live birthb (years [mean ± SD])

    26.82 ± 4.07

    26.17 ± 3.83

    < 0.001

       Age at menopausec (years [mean ± SD])

    48.17 ± 4.65

    47.46 ± 4.95

    0.036

       Physically active in past 10 years (%)

    19.40

    26.00

    < 0.001

       Body mass index (mean ± SD)

    23.54 ± 3.39

    23.25 ± 3.45

    0.047

       Waist-to-hip ratio (mean ± SD)

    0.81 ± 0.06

    0.80 ± 0.06

    0.004

    aFrom χ2 test (categorical variables) or T test (continuous variables). bAmong parous women.

    cAmong postmenopausal women. SD, standard deviation.

    The frequencies of the Ala allele were 14.3% and 14.0% in cases and control individuals, respectively. Genotype frequencies were 73.9% (Val/Val), 23.6 (Val/Ala), and 2.5% (Ala/Ala) for cases, and the respective frequencies were 73.9%, 24.2%, and 1.9% for control individuals (Table 2). The MnSOD Val-9Ala polymorphism was in Hardy–Weinberg equilibrium for both cases and control individuals. No Ile58Thr polymorphism was found in our study population. Thus, we report here the results for the Val-9Ala polymorphism.
    Table 2

    Association between the manganese superoxide dismutase polymorphism and breast cancer risk in the Shanghai Breast Cancer Study

    Genotype

    Cases (n [%])

    Controls (n [%])

    ORa

    95% CI

    All subjects

    Val/Val

    831 (73.9)

    884 (73.9)

    1.0

    Reference

    Val/Ala

    266 (23.6)

    290 (24.2)

    1.0

    0.8–1.2

    Ala/Ala

    28 (2.5)

    23 (1.9)

    1.3

    0.7–2.3

    Val/Val and Val/Ala

    1097 (97.5)

    1174 (98.1)

    1.0

    Reference

    Ala/Ala

    28 (2.5)

    23 (1.9)

    1.3

    0.7–2.3

    Stratified analyses by menopausal status

    Premenopausal women

        

       Val/Val and Val/Ala

    729 (97.2)

    751 (98.4)

    1.0

    Reference

       Ala/Ala

    21 (2.8)

    12 (1.6)

    1.8

    0.9–3.7

    Postmenopausal women

        

       Val/Val and Val/Ala

    363 (98.1)

    419 (97.4)

    1.0

    Reference

       Ala/Ala

    7 (1.9)

    11 (2.6)

    0.8

    0.3–2.0

       

    P for interaction = 0.147

     

    Stratified analyses by age

    Age < 45 years

        

       Val/Val and Val/Ala

    442 (97.1)

    488 (98.4)

    1.0

    Reference

       Ala/Ala

    13 (2.9)

    8 (1.6)

    1.8

    0.7–4.3

    Age ≥ 45 years

        

       Val/Val and Val/Ala

    655 (97.8)

    686 (97.9)

    1.0

    Reference

       Ala/Ala

    15 (2.2)

    15 (2.1)

    1.1

    0.5–2.2

       

    P for interaction = 0.380

     

    aAdjusted for age. CI, confidence interval; OR, odds ratio.

    Compared with women with the Val/Val genotype, breast cancer risk was slightly but not statistically significantly elevated for women with the Ala/Ala genotype (age-adjusted OR 1.3, 95% CI 0.7–2.3; Table 2). The Val/Ala genotype was unrelated to risk and was combined with the Val/Val genotype in some subsequent analyses. Additional adjustment for physical activity, BMI, waist-to-hip ratio, age at menarche, number of pregnancies, age at first birth, and family history of breast cancer had no appreciable effect on age-adjusted ORs, regardless of whether the analyses were done among all participants or stratified by menopausal status or age. Thus, only the age-adjusted ORs are presented. The elevated risk associated with the Ala/Ala genotype was restricted to premenopausal women (OR 1.8, 95% CI 0.9–3.7; for postmenopausal women OR 0.8, 95% CI 0.3–2.0) and women younger than 45 years (OR 1.8, 95% CI 0.7–4.3; for women older than 45 years OR 1.1, 95% CI 0.5–2.2).

    Further analyses were conducted to evaluate the association of the MnSOD Val-9Ala polymorphism and breast cancer risk by duration (years) of menstruation and BMI, factors that are related to the duration and level of estrogen exposure (Table 3). The ORs for the Ala/Ala genotype were higher among premenopausal women with a higher BMI (OR 2.5, 95% CI 0.9–7.0) or a longer duration of menstruation (OR 2.6, 95% CI 0.8–8.0). Again, the ORs were not statistically significant. This increased risk was not observed in postmenopausal women (Table 3).
    Table 3

    Associations of breast cancer with the manganese superoxide dismutase polymorphism, stratified by lifestyle factors, in the Shanghai Breast Cancer Study

    Stratified variable (by median)

    MnSOD genotypes

     

    Val/Val

    Val/Ala

    Ala/Ala

     

    n a

    ORb (95% CI)

    n a

    ORb (95% CI)

    n a

    ORb (95% CI)

    Premenopausal women

    BMI

          

       ≤ Median

    250/275

    1.0 (ref.)

    73/99

    0.9 (0.6–1.2)

    8/7

    1.3 (0.5–3.7)

       > Median

    300/288

    1.0 (ref.)

    106/89

    1.1 (0.8–1.6)

    13/5

    2.5 (0.9–7.0)

    Years of menstruationc

          

       ≤ Median

    203/286

    1.0 (ref.)

    77/91

    1.2 (0.8–1.7)

    8/8

    1.4 (0.5–3.7)

       > Median

    347/277

    1.0 (ref.)

    102/97

    0.8 (0.6–1.2)

    13/4

    2.6 (0.8–8.0)

    Postmenopausal women

    BMI

          

       ≤ Median

    126/156

    1.0 (ref.)

    39/52

    1.0 (0.6–1.6)

    4/7

    0.7 (0.2–2.5)

       > Median

    152/161

    1.0 (ref.)

    46/50

    1.0 (0.6–1.6)

    3/4

    0.8 (0.2–3.7)

    Years of menstruationc

          

       ≤ Median

    128/172

    1.0 (ref.)

    44/54

    1.1 (0.7–1.8)

    2/6

    0.4 (0.1–2.2)

       > Median

    150/145

    1.0 (ref.)

    41/48

    0.8 (0.5–1.3)

    5/5

    1.0 (0.3–3.5)

    aNumber of cases/controls. bAdjusted for age. cYears of menstruation = menopausal age or age at interview for premenopausal women – menarche age. CI, confidence interval; MnSOD, manganese superoxide dismutase; OR, odds ratio; ref., reference.

    We further evaluated the association of the MnSOD Val-9Ala polymorphism with breast cancer risk by dietary antioxidant intake (Table 4). Intriguingly, the positive association with the Ala/Ala genotype among premenopausal women was consistently found to be stronger among those who had a low intake of fruits, vegetables, selenium, or antioxidant vitamins, including carotenes and vitamins A, C, and E, than among those who had a higher intake of these dietary factors. This pattern of association suggests a modifying effect, although neither the ORs nor the interaction tests were statistically significant, perhaps as a result of the small numbers of participants in the subgroups. The modifying effect of these antioxidant intakes on the association between the MnSOD Val-9Ala polymorphism and breast cancer risk was less apparent in the analyses among postmenopausal women. However, the postmenopausal case–control numbers were small. To illustrate the joint effects of dietary antioxidant intake, we further evaluated the association of the MnSOD Val-9Ala polymorphism with breast cancer risk by dietary antioxidant index. ORs for the Ala/Ala genotype were 2.4 (95% CI 0.6–9.5) and 2.2 (95% CI 0.5–9.4) among premenopausal and postmenopausal women, respectively, who had a lower dietary antioxidant index.
    Table 4

    Associations of breast cancer with the manganese superoxide dismutase polymorphism polymorphism, stratified by food and nutrient intake, in the Shanghai Breast Cancer Study

    Stratified variable

    Premenopausal women

    Postmenopausal women

     

    Val/Val

    Val/Ala

    Ala/Ala

    Val/Val

    Val/Ala

    Ala/Ala

     

    n a

    ORb (95% CI)

    n a

    ORb

    (95% CI)

    n a

    ORb

    (95% CI)

    n a

    ORb (95% CI)

    n a

    ORb

    (95% CI)

    n a

    ORb

    (95% CI)

    Total vegetables

                

       ≤ Median

    273/290

    1.0 (ref.)

    89/88

    1.1 (0.8–1.6)

    9/4

    2.4 (0.7–8.0)

    145/164

    1.0 (ref.)

    49/44

    1.3 (0.8–2.0)

    4/6

    0.7 (0.2–2.7)

       > Median

    277/273

    1.0 (ref.)

    90/100

    0.9 (0.6–1.2)

    12/8

    1.5 (0.6–3.7)

    133/153

    1.0 (ref.)

    36/58

    0.7 (0.5–1.2)

    3/5

    0.8 (0.2–3.3)

    Total fruits

                

       ≤ Median

    260/281

    1.0 (ref.)

    95/98

    1.1 (0.8–1.5)

    7/3

    2.6 (0.7–10.0)

    152/166

    1.0 (ref.)

    38/44

    1.0 (0.6–1.6)

    4/5

    1.0 (0.3–3.8)

       > Median

    290/282

    1.0 (ref.)

    84/90

    0.9 (0.6–1.2)

    14/9

    1.5 (0.7–3.6)

    126/151

    1.0 (ref.)

    47/58

    1.0 (0.6–1.5)

    3/6

    0.6 (0.1–2.3)

    Vitamin A

                

       ≤ Median

    238/286

    1.0 (ref.)

    86/92

    1.1 (0.8–1.6)

    10/4

    2.9 (0.9–9.2)

    111/165

    1.0 (ref.)

    29/46

    1.0 (0.6–1.6)

    5/4

    1.9 (0.5–7.3)

       > Median

    312/277

    1.0 (ref.)

    93/96

    0.9 (0.6–1.2)

    11/8

    1.3 (0.5–3.3)

    167/152

    1.0 (ref.)

    55/56

    0.9 (0.6–1.4)

    2/7

    0.3 (0.1–1.3)

    Carotene

                

       ≤ Median

    281/287

    1.0 (ref.)

    88/90

    1.0 (0.7–1.5)

    10/4

    2.6 (0.8–8.4)

    131/157

    1.0 (ref.)

    41/52

    0.9 (0.6–1.5)

    3/6

    0.6 (0.1–2.4)

       > Median

    269/276

    1.0 (ref.)

    91/98

    0.9 (0.7–1.3)

    11/8

    1.4 (0.5–3.5)

    147/160

    1.0 (ref.)

    44/50

    1.0 (0.6–1.6)

    4/5

    0.9 (0.2–3.4)

    Vitamin E

                

       ≤ Median

    288/282

    1.0 (ref.)

    96/95

    1.0 (0.7–1.4)

    10/5

    1.9 (0.7–5.7)

    156/155

    1.0 (ref.)

    48/53

    0.9 (0.6–1.5)

    4/7

    0.6 (0.2–2.1)

       > Median

    262/281

    1.0 (ref.)

    83/93

    1.0 (0.7–1.4)

    11/7

    1.8 (0.7–4.9)

    122/162

    1.0 (ref.)

    37/49

    1.1 (0.6–1.7)

    3/4

    1.0 (0.2–4.8)

    Vitamin C

                

       ≤ Median

    275/282

    1.0 (ref.)

    92/96

    1.0 (0.7–1.4)

    12/4

    3.1 (1.0–9.8)

    137/161

    1.0 (ref.)

    43/48

    1.1 (0.7–1.7)

    5/6

    1.0 (0.3–3.3)

       > Median

    275/281

    1.0 (ref.)

    87/92

    1.0 (0.7–1.3)

    9/8

    1.1 (0.4–3.0)

    141/156

    1.0 (ref.)

    42/54

    0.9 (0.6–1.4)

    2/5

    0.5 (0.1–2.5)

    Selenium

                

       ≤ Median

    256/278

    1.0 (ref.)

    78/101

    0.9 (0.6–1.2)

    6/3

    2.1 (0.5–8.6)

    115/164

    1.0 (ref.)

    37/48

    1.1 (0.7–1.8)

    5/3

    2.3 (0.5–9.9)

       > Median

    294/285

    1.0 (ref.)

    101/87

    1.1 (0.8–1.6)

    15/9

    1.7 (0.7–3.9)

    163/153

    1.0 (ref.)

    48/54

    0.9 (0.5–1.3)

    2/8

    0.3 (0.1–1.2)

    Vitamin supplement

                

       No

    488/480

    1.0 (ref.)

    162/174

    0.9 (0.7–1.2)

    20/10

    1.9 (0.9–4.2)

    227/255

    1.0 (ref.)

    70/80

    1.0 (0.7–1.5)

    5/10

    0.6 (0.2–1.7)

       Yes

    62/83

    1.0 (ref.)

    17/14

    1.6 (0.7–3.6)

    1/2

    0.7 (0.1–7.8)

    51/62

    1.0 (ref.)

    15/22

    0.9 (0.4–2.0)

    2/1

    2.1 (0.2–24.3)

    Dietary antioxidant indexc

                

       ≤ Median

    262/280

    1.0 (ref.)

    89/98

    1.0 (0.7–1.4)

    7/3

    2.4 (0.6–9.5)

    126/161

    1.0 (ref.)

    43/51

    1.1 (0.7–1.8)

    5/3

    2.2 (0.5–9.4)

       > Median

    288/283

    1.0 (ref.)

    90/90

    1.0 (0.7–1.4)

    14/9

    1.6 (0.7–3.8)

    152/156

    1.0 (ref.)

    42/51

    0.9 (0.5–1.4)

    2/8

    0.3 (0.1–1.2)

    aNumber of cases/controls. bAdjusted for age. cDietary antioxidant index was derived as described in the Methods section. CI, confidence interval; OR, odds ratio; ref., reference.

    Discussion

    Ambrosone and colleagues previously reported that Val/Val genotype was significantly associated with an increased risk of breast cancer among premenopausal Caucasian women, particularly those who had a low intake of fruits and vegetables and of dietary ascorbic acid and α-tocopherol [17]. In this large-scale, population-based, case–control study, we found that breast cancer risk was slightly but not significantly elevated in Chinese women with the Ala/Ala genotype as compared with women with the Val/Val genotype, particularly among premenopausal women who had a low intake of fruits, vegetables, selenium, or antioxidant vitamins. A significant association of this polymorphism with breast cancer risk was not observed in present study, which might partly be due to low Ala allele frequency in Chinese women.

    We observed in this study that women carrying the Ala/Ala genotype who had a higher BMI or a longer duration of menstruation were at higher risk of breast cancer, particularly among premenopausal women. Some ROS may be generated from estrogen metabolism through catechol redox cycling [3, 4]. Mitrunen and coworkers [18] conducted a case–control study among 483 cases and 482 controls in a Finnish Caucasian population, and reported that the Ala allele was associated with breast cancer risk, with an OR of 1.5 in the Ala/Ala or Val/Ala groups compared with the Val/Val group. Postmenopausal women who had used estrogen replacement therapy and carried either the Ala/Ala or Val/Ala genotype had a 2.5-fold higher risk for breast cancer. Women who had used oral contraceptives and carried the Ala/Ala or Val/Ala genotype had a 3.0-fold higher risk for breast cancer [18]. More recently, Egan and coworkers [19] conducted a population-based case–control study among 476 cases and 502 controls in an American population. Overall, relative risks were not significantly elevated in women with one (OR 1.27, 95 CI 0.91–1.77) or two (OR 1.18, 95% CI 0.81–1.73) Ala alleles, as compared with the Val/Val genotype. Risk, however, was increased among premenopausal women carrying the Val/Ala genotype (OR 1.88), but not among women carrying the Ala/Ala genotype (OR 0.94) [19]. Women carrying the Ala/Ala or Val/Ala genotype who had used oral contraceptives or had higher BMI also had an increased risk for breast cancer [19]. Because of the low frequency of the Ala/Ala genotype and low percentage of estrogen use among Chinese women, we are unable to perform the analyses stratified by these exogenous estrogen exposures.

    Several studies have evaluated the association of the MnSOD Val-9Ala polymorphism with other cancers, although the results were inconsistent among cancer sites. Recently, Woodson and coworkers [30] reported that the Ala/Ala genotype was associated with a 1.7-fold (95% CI 0.96–3.08) increased risk for prostate cancer as compared with the Val/Val genotype. No association of this polymorphism with colorectal adenomas was found in a sigmoidoscopy-based case–control study [31]. Recently, Lin and coworkers [32] reported no association of the MnSOD Val-9Ala polymorphism with lung cancer risk in a case–control study conducted in Taiwan. Interestingly, Wang and coworkers [33] reported that the Val allele was associated with lung cancer risk with ORs of 1.34 (95% CI 1.05–1.70) and 1.67 (95% CI 1.27–2.20) in the Val/Ala and Val/Val group, respectively. These differences in the associations of the MnSOD genotype with breast and lung cancers suggest that the role played by MnSOD in carcinogenesis may vary for different tumors. The mechanism underlying this tumor type difference remains to be investigated.

    The SODs are the first and most important line of antioxidant enzyme defense against ROS and particularly O2 •- radical. It was predicted that MnSOD Val-9Ala polymorphism might alter transfer of the MnSOD enzyme into mitochondria [11, 12]. Recently, Sutton and coworkers [13] reported that the Ala-MnSOD precursor generated 30–40% more of the active, matricial, and processed MnSOD homotetramer in mitochondrial matrix than did Val-MnSOD. Some human tumor cells lost MnSOD activity, and this loss has been shown to be responsible for at least part of the malignant phenotype [34, 35]. MnSOD knockout mice exhibited increased oxidative DNA damage [36]. Over-expression of MnSOD in MCF-7 cell suppressed the malignant phenotype, as evidenced by decreased cell proliferation, clonogenic fraction in soft agar culture, and tumor growth in nude mice [37]. Recently, Soini and coworkers [38] reported that MnSOD expression is less frequent in the tumor cells of invasive breast carcinomas than in in situ carcinomas or non-neoplastic breast epithelial cells.

    Three distinct isoforms of SOD have been identified in mammals. These three isoforms are encoded by three distinct genes located on different chromosomes [10]. All three SOD genes are polymorphic. It would be interesting to analyze jointly all of the three genes to evaluate any gene–gene interaction in relation to breast cancer risk. O2 •-, if not scavenged by SOD, may react with nitric oxide radical (NO) to form the strong oxidant peroxynitrite (ONOO-) [39]. MnSOD dismutates O2 •- to H2O2, which is further detoxified by GPX1 in mitochondria. If not be quenched, H2O2 will be converted to the more toxic hydroxyl radical (OH). Thus, study of the joint effect of the MnSOD, nitric oxide synthase, and GPX1 gene polymorphisms might provide further information on the role played by oxidative stress in cancer risk.

    Frequencies of the Val and Ala alleles of the MnSOD Val-9Ala polymorphism in our control population were 86.0% and 14.0%, respectively. The minor allele (Ala) frequency (14.0%) is comparable with that in Japanese (14.1%) [40] and Chinese (11.5%) [41] populations, but substantially lower than that in Caucasian populations [1720]. The low frequency of the Ala allele in our study population contributes to a wider range of 95% CIs in OR estimations and limits the statistical power for stratified analyses. Small numbers of individuals, such as in the subgroups stratified by menopausal status in the present study, may result in unstable OR estimates. Studies with a larger sample size are needed to confirm the findings.

    The current study has many strengths. First, the high participation rate and the population-based study design substantially reduce selection bias. Second, Chinese women living in Shanghai are relatively homogenous in their ethnic background; over 98% are from a single ethnic group (Han Chinese). Therefore, the potential confounding effect of ethnicity is not a major concern in this study. Third, the extensive information collected on lifestyle factors allowed comprehensive evaluation of their interaction with genetic polymorphisms. The risk estimates derived from age-adjusted and multivariable adjusted analyses were similar, indicating that a confounding effect is unlikely to be a concern in this study.

    Conclusion

    In this population-based case–control study conducted in Chinese women, we found that the MnSOD Ala/Ala genotype was associated with a slightly but nonsignificantly elevated risk of breast cancer. The positive association was more evident among premenopausal women, particularly among those who consumed a low level of antioxidant vitamins or with high levels of oxidative stress. However, the study is limited by the low frequency of the Ala allele in the Chinese population, and most of the ORs were not statistically significant. Studies with a larger sample size are needed to confirm the findings.

    Author contributions

    QC, X-OS, and WZ participated in interpretation of results and writing the manuscript. QC participated in laboratory assays. WW conducted the statistical analyses. J-RC, QD, and Y-TG participated in field operation.

    Abbreviations

    BMI: 

    body mass index

    bp: 

    base pairs

    CI: 

    confidence interval

    GPX: 

    glutathione peroxidase

    MnSOD: 

    manganese superoxide dismutase

    OR: 

    odds ratio

    PCR: 

    polymerase chain reaction

    QC: 

    quality control

    ROS: 

    reactive oxygen species.

    Declarations

    Acknowledgements

    We thank Dr Fan Jin for her valuable contribution in coordinating the field operation, Nabela Hamm and Qing Wang for their excellent technical laboratory assistance, and Bethanie Hull for technical assistance in manuscript preparation. This study would not have been possible without the support of all of the study participants and research staff of the Shanghai Breast Cancer Study. This research was supported by USPHS grants RO1CA64277 and RO1CA90899 from the National Cancer Institute and grant DAMA17-02-1-0603 from the US Department of Defense.

    Authors’ Affiliations

    (1)
    Department of Medicine and Vanderbilt–Ingram Cancer Center, Vanderbilt University, Nashville, Tennessee, USA
    (2)
    Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China

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    © Cai et al.; licensee BioMed Central Ltd. 2004

    This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is cited.

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