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Department of Epidemiology, School of Public Health and Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina at Chapel Hill, North Carolina 27599-7400 [R. M., E. D., C-K. T., D. A. S., S. E., S. J.]; Department of Cancer Cell Biology, Harvard School of Public Health, Boston, Massachusetts 02115 [E. J. D.]; Research Triangle Institute, Research Triangle Park, North Carolina 27709 [J. B.]; and School of Public Health, Queensland University of Technology, Kelvin Grove QLD 4059, Australia [B. N.]
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Abstract |
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 Top Abstract IntroductionMaterials and MethodsResultsDiscussionReferences |
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34.2; OR, 4.92; 95% CI, 1.63–14.83). In contrast, the OR for DDE
was highest for the leanest African-American women (body mass index,
<25; OR, 3.84; 95% CI, 0.98–15.08). ORs for DDE were not elevated
among women who lived or worked on farms or elevated among farming
women who reported exposure to pesticides. Our results suggest absence
of a strong effect for DDE or total PCBs in breast cancer but lend
support for associations among subgroups of women. In our study,
factors such as income, parity, breastfeeding, race/ethnicity, and body
mass index influenced the relationship of organochlorines and breast
cancer. Differing distributions of such factors may explain some of the
inconsistencies across previous studies. |
Introduction |
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TopAbstractIntroductionMaterials and MethodsResultsDiscussionReferences |
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Several epidemiological studies have investigated the association of DDE and PCBs in human adipose tissue or blood samples and risk of breast cancer (reviewed in Refs. 1, 2, 3, 4, 5 ). The first large epidemiological study linking DDE and PCBs to breast cancer was conducted by Wolff et al. (6) , who reported a strong association for serum DDE and a weaker association for total PCBs in a case-control study of New York City women. In a nested case-control study in the San Francisco Bay Area, Krieger et al. (7) reported an OR of 3.85 (95% CI, 0.93–16.05) comparing African-American women in the highest to the lowest third of serum DDE and an OR of 2.21 (95% CI, 0.70–6.98) comparing African-American women in the highest to lower third of total PCBs. A weak positive association was observed for DDE in white women, whereas inverse associations were found for total PCBs in white women and DDE and total PCBs in Asian-American women. No additional studies of African-American women have been reported. Most subsequent studies reported no association between DDE or PCBs and breast cancer risk, including nested case-control studies of nurses from the United States (8) and women from Copenhagen, Denmark (9) ; Washington County, MD (5) ; and Columbia, MO (10) . Case-control studies conducted in Connecticut (11) , Mexico City (12) , and several large European cities (13) also failed to detect an association with DDE. However, a case-control study in Bogota, Columbia showed a weak positive association between DDE and breast cancer (14) .
To examine the relationship between DDE and PCBs and breast cancer risk, we analyzed plasma samples collected from a population-based, case-control study. The study includes African-American women and was conducted in a rural area engaged in intensive agricultural production (15) . We examined the association of DDE and total PCBs with breast cancer risk among African-American and white women separately, as well as among subgroups of women defined by parity and lactation status, BMI, WHR, farming history, and reported pesticide exposure. Among cases, we investigated the roles of stage at diagnosis and estrogen receptor status. We also studied the relationship of low to moderate and high chlorination PCB congeners and breast cancer risk.
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Materials and Methods |
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TopAbstractIntroductionMaterials and MethodsResultsDiscussionReferences |
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50 years of age. During Phase I of the CBCS
(May 1993–December 1996), 889 cases and 841 controls were interviewed.
Overall response proportions (number of completed interviews/number of
eligible participants) were 74% for cases and 53% for controls
(18)
. The interview included a variety of known and
potential risk factors for breast cancer. Race was classified according
to self-report. For the present analysis, we classified women as
African-American or white. We included as white seven Native Americans,
three Asian-Americans, and three women who listed their race as
"multiracial." Women who had ever lived or worked on farms
completed a more extensive telephone interview regarding farming
practices and exposure to pesticides (19)
. Information
regarding stage at diagnosis, estrogen receptor status, and breast
cancer treatment for cases was obtained from medical records. Approximately 98% of participants who were interviewed agreed to provide three 10-ml blood samples collected in acid citrate dextrose-anticoagulated tubes. Each tube was centrifuged at 700–900 x g (2600 rpm) at 4°C for 20 min. The plasma layer was transferred in three aliquots to polypropylene freezer tubes and stored at -70°C. All blood samples were processed within 48 h of collection.
Laboratory Methods.
Plasma levels of organochlorines were used as an estimate of total body
burden of these compounds (6
, 20, 21, 22)
. Organochlorine
analyses were conducted at Research Triangle Institute (Research
Triangle Park, NC). Plasma samples (2.0 ml) were treated with methanol
(1.0 ml), spiked with two surrogate standards (PCB 198 and
o,p'-DDT), and then extracted sequentially with three 2.5-ml
portions of hexane:diethyl ether (1:1). Extraction was performed using
rotary mixing (15 min at 60 rpm) and centrifugation (15 min at 1800
rpm). The combined extracts were fractionated using Florisil (R)
open-column chromatography. The first fraction was eluted with 35 ml of
hexane and contained all of the PCBs, as well as p,p'-DDE,
o,p'-DDE, and DDT. This fraction was concentrated to 0.5 ml
and spiked with octachloronaphthalene as an external quantitation
standard. Extracts were analyzed by gas chromatography/electron capture
detection using a DB-5 column and Hewlett-Packard Model 6890
instrument. Individual compounds were identified based upon
chromatographic retention times relative to the internal standards and
pattern recognition in the sample extract. Individual PCB congeners
were quantitated using calibration curves generated for the
chromatographic peak area ratio of the congener to the internal
standard versus solution concentrations. Calibration
solutions were prepared from certified standard solutions
(AccuStandard, New Haven, CT) for each of the 35 individual congeners
measured in this study (IUPAC numbers 74, 99, 101, 105, 114, 118, 137,
138, 141, 146, 149, 153, 156, 157, 158, 167, 170, 171, 172,174, 177,
178, 180, 182, 183, 185, 187, 190, 194, 195, 196, 197, 200, 201, and
203).
Quantitation limits were 0.125 ng/g for o,p'-DDE and other pesticides and 0.025 ng/g for individual PCB congeners. Quantitation limits were based upon the lowest calibration standard in the calibration curve (0.1 ng/ml) that met the following criteria: signal:noise ratio of 10:1 and a measured value within 20% of the prepared value. The quantitation limit was considered to be the detection limit x 2. Coefficients of variation were 12% for total PCBs, with individual congeners showing coefficients of variation of <10%, and 16% for p,p'-DDE.
Plasma lipid profiles were determined at the Core Laboratory for Clinical Studies at Washington University School of Medicine (St. Louis, MO). Automated enzymatic assays using cholesterol esterase and lipoprotein lipase were performed on a Technicon RA-1000 analyzer. Replicate samples were included with each shipment to determine coefficients of variation (3.4% for net triglycerides and 2.1% for total cholesterol).
Organochlorine and lipid measurements were available on 748 cases (84%) and 659 controls (78%). Reasons for failure to obtain laboratory measurements included insufficient plasma and interference in the sample. Participants with organochlorine and lipid measurements did not differ significantly from participants without such measurements based upon age, race, disease status, or breast cancer risk factors (23) . The time between blood draw and blood processing ranged from 3 to 24 h. We determined in a pilot study that varying the time between blood draw and blood processing from 30 min to 24 h did not result in appreciable differences in measured organochlorine levels (23) . A small proportion of samples showed moderate hemolysis; however, the presence or degree of hemolysis was not correlated with measured DDE or total PCB levels (23) .
Among the 1407 study participants, 99.7% had detectable levels of p,p'-DDE. Only 1% of participants had detectable levels of o,p'-DDE, and 40% had detectable levels of DDT. Results are presented for p,p'-DDE only (hereafter referred to as DDE). All participants had detectable levels of one or more PCB congeners.
Statistical Methods.
Raw values for DDE and total PCBs were analyzed, as well as imputed
values. Imputation was conducted to facilitate log transformation and
was performed by setting zero values and values below the detection
limit (0.0625 ng/ml for DDE and 0.0125 for individual PCB congeners) to
the detection limit divided by the square root of 2. We used this
method of imputation to compare our results with the Northeast and
Mid-Atlantic Breast Cancer Studies
Group.4
Total PCBs were determined by summing the individual PCB congeners (raw
or imputed) for each person. To compare our results with other studies,
we also created a modified total PCBs restricted to the congeners 118,
138, 153, and 180. In addition, we used the methods described by
Moysich et al. (24
, 25)
to classify PCB
congeners according to the degree of chlorination. Relatively few women
had detectable levels of low chlorination PCBs; therefore, we grouped
PCB congeners in two groups, high chlorination (IUPAC numbers 194, 195,
196, 197, 200, 201, and 203) versus low to moderate
chlorination (remaining congeners). Similar to Moysich et
al. (24)
, we did not detect sufficient numbers of the
relevant PCB congeners to use the classification system based upon
enzyme induction suggested by Wolff et al.
(26)
.
Lipid adjustment was performed by dividing DDE or total PCB levels by total lipids to yield µg/g lipid (Ref. 27 , Eq. 2 therein). We used an additional method for lipid adjustment wherein separate terms for cholesterol and triglycerides (centered around their respective means) were entered into logistic models when calculating ORs for breast cancer. Because results were unchanged, only results using the lipid adjustment method of Phillips et al. (27) are presented. The distributions of DDE and total PCBs were compared in cases and controls using raw values (without imputation or lipid adjustment), imputed values (with and without lipid adjustment), and log-transformed imputed values (with and without lipid adjustment). Because the distributions of untransformed DDE and total PCBs were skewed, the Wilcoxon rank sum test for unpaired data were used to compare medians for raw and lipid-adjusted DDE and total PCBs. t tests were used to compare geometric means for log-transformed values of lipid-adjusted imputed DDE and total PCBs.
To calculate ORs for breast cancer, DDE and total PCBs were categorized into thirds as well as quartiles, based upon the distribution in controls. We used each of the possible values for DDE and total PCBs: raw, imputed, lipid-adjusted, and log-transformed. Results were similar, regardless of the method of classification; therefore, ORs for DDE and total PCBs include imputed values, after lipid adjustment and without log transformation. Distributions of organochlorines divided into thirds are presented to compare with previous studies (e.g., Ref. 7 ) and to maximize power in subgroup analyses. For analyses of African-Americans and whites, ORs for organochlorines are presented using race-specific cutpoints, because the distributions of DDE and total PCBs were different in these groups.
Unconditional logistic regression was used to calculate adjusted ORs for breast cancer and 95% CIs. PROC GENMOD of the software package SAS (version 6.11; SAS Institute, Cary, NC) was used to adjust for age (continuous) and race (African-American and white), as well as to incorporate offset terms derived from the sampling probabilities used to identify eligible participants (17) . To provide additional adjustment for age, we added an age-squared term to logistic models. The following factors were tested as potential confounding variables: height, weight, BMI, WHR, menopausal status, parity, breastfeeding, age at first full-term pregnancy, oral contraceptive use, HRT use, yearly household income, level of education, smoking, alcohol consumption, and dietary variables (fruit, vegetable, and fish consumption).
To assess confounding, we evaluated whether the ß coefficient for
either the uppermost or middle third of organochlorines changed by 10%
or more after controlling for each variable separately in logistic
models adjusted for age, age-squared, race, and sampling fractions.
Confounding was assessed in the entire dataset and among
African-American and white women separately. The addition of income
resulted in a change of 10% or greater in ß coefficients for DDE and
total PCBs. Adjustment for the remaining covariates made little or no
difference in OR estimates but led to wider CIs. To compare our results
with other studies, we present results adjusted for the common list of
variables used by the Northeast and Mid-Atlantic Breast Cancer Studies
Group:4
age, age-squared, race (African-American
and white), menopausal status (pre- and postmenopausal), BMI (
24.9
kg/m2, 25–39.9, and 30), parity and
breastfeeding composite (nulliparous, parous never breastfed, and
parous ever breastfed), and HRT use (ever and never). In addition, we
adjusted for yearly household income (<$15,000, $15,000 to <$30,000,
$30,000 to <$50,000, and $50,000 per year).
To address the effect of missing values for covariates, we calculated ORs for DDE and total PCBs in the subset of participants with complete covariate information while controlling for age, age-squared, and race. Results were similar to those obtained in the entire dataset. We calculated ORs for thirds of DDE and total PCBs after including both variables simultaneously in logistic models, but results were unchanged.
Analyses were stratified by race, parity, history of breastfeeding,
menopausal status, BMI, and WHR. For women <50 years, postmenopausal
status was assigned to women who had undergone natural menopause,
bilateral oophorectomy, or irradiation to the ovaries; in women 50
years, menopausal status was assigned on the basis of cessation of
menstruation. We used three methods to create strata for BMI:
(a) race-specific cutpoints in thirds based upon
distributions in controls (<28.16 kg/m2, 28.16
to <34.2, and 34.2 for African-Americans; <23.50, 23.50 to <27.94,
and 27.94 for whites); (b) absolute cutpoints for the
entire dataset based upon the latest United States obesity standards
(normal, <25 kg/m2; overweight, 25–29.9; and
obese,
30)5
; and (c) cutpoints in thirds based upon
African-American controls, applied to the entire dataset. The first
method yielded maximal power to evaluate the effects of organochlorines
across strata of BMI within each racial group, because values of BMI
were substantially higher among African-American controls (median, 30.7
kg/m2) compared with white controls (median, 25.7
kg/m2). We stratified on WHR a measure of body
fat distribution (higher values of WHR indicate central adiposity),
using race-specific cutpoints in thirds (African-Americans: <0.78,
0.78–0.87, and >0.87; whites: <0.74, 0.74–0.81, and >0.81).
To evaluate whether plasma DDE levels exhibited a different relationship with breast cancer risk among women engaged in agriculture, we stratified women based on having lived or worked on a farm. A farm was defined as "any place that raises crops or livestock and sells them to earn money." Women with a history of farming were asked about specific agricultural activities, including exposure to pesticides. Women who reported having mixed, loaded, or transported pesticides, applied pesticides to crops, or cleaned pesticide applying equipment were classified as having potential pesticide exposure (19) .
To address potential disease-related changes in body mass and distribution of organochlorine residues, we conducted stratified analyses based upon self-reported loss or gain of at least 5 pounds in the year preceding the date of blood collection in cases and controls. ORs were also calculated after subdividing cases based upon stage at diagnosis and presence or absence of estrogen receptors. ORs for total PCBs were also calculated using the modified PCB total specified by the data analysis consortium and after grouping PCB congeners according to level of chlorination (see "Laboratory Methods," above). We also calculated ORs comparing women in the highest third of DDE and total PCBs compared with women in the lowest third of both, as suggested by Hunter et al. (8) .
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Results |
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TopAbstractIntroductionMaterials and MethodsResultsDiscussionReferences |
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26 years, breast cancer in a first-degree relative, and smoking
cigarettes for >20 years were positively associated with breast
cancer, whereas breastfeeding of any duration showed an inverse
association. Risk factors among participants with organochlorine and
lipid measurements did not differ from the CBCS as a whole (data not
shown). Detailed results regarding predictors of DDE and total PCBs
among participants in the CBCS will be presented
elsewhere.6, 7
Mean and median levels of DDE and total PCBs among African-American and
white cases and controls are presented in Table 1
. To compare our results with previous studies, raw values (without
imputation, adjustment for lipids, or log transformation) and
lipid-adjusted imputed values are presented. Case-control differences
were minimal among African-American and white participants (Table 1)
.
There were also no significant differences between cases and controls
for lipid-adjusted, imputed, or log-transformed values (geometric
means) of DDE or total PCBs (data not shown).
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. Among all participants, there was no association between increasing
levels of DDE or total PCBs and breast cancer. For African-American
women, ORs were elevated slightly across thirds of DDE and total PCBs,
with some evidence of a dose-response gradient, particularly for total
PCBs. Among white women, only a slight elevation for the middle
versus lowest third was observed for total PCBs.
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. Nulliparous women showed slightly stronger associations for both DDE
and total PCBs than parous women. Similarly, parous women who never
breastfed showed slightly stronger associations than women who reported
a history of breastfeeding. Results were similar for African-American
and white women.
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, using race-specific cutpoints for BMI. Results are presented using
race-specific cutpoints for BMI, because this approach maximized power
to evaluate modification of ORs by BMI within each racial group. There
were no pronounced differences in ORs across strata of BMI. However,
using a single BMI cutpoint in both racial groups, fully adjusted ORs
for DDE in African-American women with BMI <25 ("normal weight")
were 1.00 (referent), 2.74 (0.78–9.65), and 3.84 (0.98–15.08). ORs
for white women with BMI <25 were 1.00 (referent), 0.70 (95% CI,
0.41–1.18), and 0.88 (95% CI, 0.51–1.52). Thus, the thinnest
African-American women showed a stronger association between DDE and
breast cancer. ORs for DDE did not differ when we stratified on WHR
(data not shown).
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. Using race-specific cutpoints, ORs for African-American women in the
middle and especially the uppermost third of BMI were elevated relative
to women in the lowest third, and ORs for white women were elevated
slightly in the uppermost third of BMI. Similar results were obtained
using the cutpoints for BMI in both racial groups based upon National
Heart Lung and Blood Institute obesity
standards.5
For example, among participants with
BMI 30 kg/m2 ("obese"), fully adjusted ORs
were 1.00 (referent), 1.69 (95% CI, 0.82–3.46) and 4.31 (95% CI,
1.78–10.39) for African-American women and 1.00 (referent), 1.99 (95%
CI, 0.85–4.63), and 1.49 (95% CI, 0.53–4.22) for white women. Using
the cutpoints based upon thirds in African-American controls, ORs for
white women with BMI 34.2 kg/m2 were 1.00
(referent), 3.98 (95% CI, 1.01–15.67), and 7.89 (95% CI,
1.39–44.88). Thus, white women and especially African-American women
at the highest levels of obesity exhibited positive associations for
total PCBs and breast cancer. ORs for total PCBs were elevated slightly
among African-American women in the highest third of WHR compared with
the middle and lower thirds, but the association was diminished after
controlling for BMI (data not shown).
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. ORs were not elevated substantially among women who lived or worked on
farms compared with non-farming women. For the two racial groups
combined, fully adjusted ORs for DDE in farming women were 1.00
(referent), 1.26 (95% CI, 0.81–1.96), and 1.50 (95% CI, 0.93–2.42).
For farming women who reported potential pesticide exposure, ORs for
DDE were 1.00 (referent), 0.79 (95% CI, 0.23–2.68), and 1.49 (95%
CI, 0.41–5.42). However, the number of farming women with potential
pesticide exposure was small (47 cases and 54 controls).
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ORs for thirds of modified total PCBs (congeners 118, 138, 153, and 180 only) were 1.00 (referent), 0.98 (95% CI, 0.61–1.58), and 1.30 (95% CI, 0.77–2.17) in African-American women and 1.00 (referent), 1.02 (95% CI, 0.73–1.42), and 0.85 (95% CI, 0.57–1.25) in white women. For both racial groups combined, ORs were 1.00 (referent), 0.96 (95% CI, 0.73–1.27), and 0.99 (95% CI, 0.73–1.35) for low to moderate chlorination PCB congeners and 1.00 (referent), 1.41 (95% CI, 1.05–1.87), and 1.35 (95% CI, 0.97–1.88) for high chlorination PCB congeners. Results were similar in African-American and white women.
We did not observe evidence for a combined effect of DDE and PCBs. ORs for women in the highest third of DDE and total PCBs compared with women in the lowest third for both were 1.08 (95% CI, 0.54–2.15) in African-American women and 1.03 (95% CI, 0.60–1.77) in white women.
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Discussion |
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TopAbstractIntroductionMaterials and MethodsResultsDiscussionReferences |
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Stratified analyses were conducted to determine whether subgroups of
women might exhibit stronger associations between organochlorines and
breast cancer. ORs for DDE and total PCBs were greater among
nulliparous women compared with parous women. Hunter et al.
(8)
reported no significant differences in ORs for DDE or
total PCBs across strata defined by parity or lactation. None of the
remaining epidemiological studies presented analyses stratified by
parity. Interestingly, in our study 19% of controls were nulliparous,
whereas in the study of Wolff et al. (6)
,
36% of controls were
nulliparous.8
A high prevalence of nulliparous women could have contributed to the
strong associations observed in the Wolff et al.
(6)
study, as well as other positive studies. In our
study, ORs for total PCBs were higher among parous women who never
breastfed than parous women who ever breastfed, in agreement with
Moysich et al. (24)
. Breastfeeding might lower
body burden of organochlorines during a time period of susceptibility
to breast cancer and render breast epithelial cells less susceptible to
carcinogens by inducing terminal differentiation (24)
.
We found that African-American and white women at the highest levels of obesity (BMI of 34.2 kg/m2 or greater) exhibited strong positive associations between increasing levels of total PCBs and breast cancer. Conversely, the thinnest African-American women showed a stronger positive association for DDE. ORs did not differ strongly based upon WHR. Thus, our results suggest that the degree of obesity (rather than the distribution of body fat) modifies the association of organochlorines and breast cancer. A potential explanation for our findings with DDE may be found in a recent letter by Wolff and Anderson (32) . According to a pharmacokinetic model presented by these authors, individuals with low BMI had higher tissue concentrations of DDE in the past (one to two decades earlier) compared with obese women. In the present study, BMI was based upon current measurements. However, current BMI was highly correlated with self-reported levels of obesity in the past among women in the CBCS (33) . Our results for PCBs are more difficult to explain. It may be that for exposures that are on-going, such as PCBs, obese persons maintain higher tissue concentrations because of slower elimination in comparison with thin persons. Data on the relationship of BMI and organochlorine levels in blood are needed from prospective studies that measure intake and absorption of these compounds. Such information would be useful for assessing the potential health effects of PCBs and other fat-soluble chemicals.
In our study, women who lived or worked on farms exhibited ORs for DDE and breast cancer similar to those of women who never farmed. Among women who farmed, we did not observe a stronger association for those with potential pesticide exposure compared with women without such exposure. We stratified on farming history and pesticide exposure to address the possibility that plasma DDE levels could reflect exposure to DDT by a more direct route among farming women, e.g., via aerosols or dermal contact. Our analyses are limited by the small number of women with reported pesticide exposure and the fact that we did not collect detailed information regarding pesticide exposure among non-farming women.
We did not observe evidence for a combined effect of DDE and total PCBs, in agreement with Hunter et al. (8) and Hoyer et al. (9) . In our study, ORs for high chlorination PCB congeners were elevated compared with low and moderate chlorination PCB congeners. These results are in contrast to the findings of Moysich et al. (24) , who reported stronger associations for low chlorination PCBs congeners, compared with moderate or high chlorination PCBs. Analysis of specific congeners is complicated by incomplete knowledge regarding biological activity (26) , relatively short half-life for many congeners (24) , and strong correlations among congeners in human blood samples (34) . We did not observe stronger associations for estrogen receptor-positive breast cancer, in agreement with Hunter et al. (8) but in contrast to DeWailly et al. (35) and Liljegren et al. (36) . The latter authors reported stronger associations for DDE and some PCB congeners for estrogen receptor-positive compared with estrogen receptor-negative breast cancer.
Our study has the advantage of including large numbers of African-American women and women from the rural South. Only one previous study examined organochlorines in relation to breast cancer in African-American women (7) . In the past, levels of DDE in serum and breast milk from women residing in the South ranked among the highest in the United States (31 , 37) . Only the study of Moysich et al. (24) reported residential history. Although the study was conducted in upstate New York, only 16% of controls reported living in a rural area. In the CBCS, 48% of controls lived or worked on farms.
One limitation of our study is the potential for selection bias, given
the lower response proportion in controls compared with cases. In a
previous analysis (18)
, we determined that participants
who completed a full interview and provided a blood sample were similar
to women who consented to a brief telephone interview, based upon
comparison of a variety of breast cancer risk factors. We were unable
to compare organochlorine levels in responders and nonresponders;
however, the distribution of DDE and PCB values among controls in our
study was similar to recent surveys (reviewed in Ref. 2
).
An additional limitation is the fact that we used blood samples drawn
after the diagnosis of breast cancer in cases. A recent study
(38)
suggested that treatment for breast cancer may alter
blood levels of organochlorines. To address the possibility of disease
and/or treatment-related effects, we stratified by history of weight
loss or gain, as well as stage of disease, and did not observe any
differences in ORs for DDE or total PCBs. An additional limitation of
our study is the fact that we had incomplete information on
socioeconomic status. Women of higher socioeconomic status are often
reported to have higher risk of breast cancer (reviewed in Ref.
39
). In the CBCS, we obtained information on yearly
household income and level of education. Education was not associated
with breast cancer, whereas increasing income showed a slight inverse
association (data not shown). Data collected from partial interviews
suggest that controls with lower income were less likely to participate
in the CBCS (18)
. This may have biased the income
distribution upward in controls relative to cases, leading to an
inverse association between income and breast cancer. Increasing income
showed strong inverse correlations with DDE and total PCB levels among
controls in the CBCS, in agreement with surveys of other populations
(29
, 31) . Thus, income exhibited characteristics of a
potential confounding variable. Controlling for income resulted in a
slight change in ORs but probably provided only partial adjustment for
the confounding effects of socioeconomic status. It is possible that
after adjustment for better measures of socioeconomic status, ORs for
DDE and total PCBs would be elevated further (Tables 4
5
6)
. Finally,
although we had adequate power to conduct analyses among subgroups of
women, our findings should be interpreted with caution pending
evaluation in other studies.
On the basis of our study, combined with previous studies, it appears that DDE and PCBs are unlikely to play a major role in increasing the risk of breast cancer. Some subgroups of women exhibited stronger effects, but these effects remained quite weak in absolute terms. One exception is the strong association in our study between total PCBs and breast cancer among women with high BMI. Further investigation of the relationship between obesity and susceptibility to the adverse health effects of PCBs and other fat-soluble compounds is warranted, particularly among African-American women. Our results suggest that race, parity, breastfeeding, obesity, and socioeconomic status may influence the relationship between organochlorine levels and breast cancer risk. Differing distributions of these variables across studies may help to explain some of the inconsistencies in results.
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Acknowledgments |
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Footnotes |
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1 Supported by Pesticides and Breast Cancer in
North Carolina, NIH/National Institute of Environmental Health Sciences
R01-ES07128; Specialized Program of Research Excellence in Breast
Cancer, NIH/National Cancer Institute P50-CA58223; and Environment and
Breast Cancer Program, NIH/National Cancer Institute R21-CA66201. 
2 To whom requests for reprints should be
addressed, at Department of Epidemiology, CB #7400, School of Public
Health, University of North Carolina at Chapel Hill, NC 27599-7400.
3 The abbreviations used are: DDE,
dichlorodiphenyldichloroethene; PCB, polychlorinated biphenyl; OR, odds
ratio; CI, confidence interval; BMI, body mass index; WHR, waist:hip
ratio; CBCS, Carolina Breast Cancer Study; DDT,
dichlorodiphenyltrichloroethane; HRT, hormone replacement therapy.
4 Francine Laden, personal communication, 1998.
5 National Heart, Lung, and Blood Institute
(NHLBI). First federal obesity guidelines released. Internet address:
http://www.nhlbi.nih.gov/new/press/obese14f.htm, 1998.
6 E. DeVoto, R. Millikan, C-K. Tse, and D. Savitz.
Predictors of plasma PCB levels among African-American and white women,
manuscript in preparation, 2000.
7 E. Duell, R. Millikan, E. DeVoto, C-K. Tse, and
D. Savitz. Predictors of plasma DDE levels among African-American and
white women in North Carolina, manuscript in preparation, 2000.
8 M. Wolff, personal communication, 1997.
Received 10/11/99; revised 4/12/00; accepted 8/28/00.
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 P. Brown, S. McCormick, B. Mayer, S. Zavestoski, R. Morello-Frosch, R. G. Altman, and L. Senier "A Lab of Our Own": Environmental Causation of Breast Cancer and Challenges to the Dominant Epidemiological Paradigm Science Technology Human Values, September 1, 2006; 31(5): 499 - 536. [Abstract] [PDF]
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 P. G. Shields Understanding population and individual risk assessment: the case of polychlorinated biphenyls. Cancer Epidemiol. Biomarkers Prev., May 1, 2006; 15(5): 830 - 839. [Abstract] [Full Text] [PDF]
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M. S. Wolff, J. A. Britton, S. L. Teitelbaum, S. Eng, E. Deych, K. Ireland, Z. Liu, A. I. Neugut, R. M. Santella, and M. D. Gammon Improving Organochlorine Biomarker Models for Cancer Research Cancer Epidemiol. Biomarkers Prev., September 1, 2005; 14(9): 2224 - 2236. [Abstract] [Full Text] [PDF]
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J. A. Rusiecki, A. Matthews, S. Sturgeon, R. Sinha, E. Pellizzari, T. Zheng, and D. Baris A Correlation Study of Organochlorine Levels in Serum, Breast Adipose Tissue, and Gluteal Adipose Tissue among Breast Cancer Cases in India Cancer Epidemiol. Biomarkers Prev., May 1, 2005; 14(5): 1113 - 1124. [Abstract] [Full Text] [PDF]
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 L. S. Engel, D. A. Hill, J. A. Hoppin, J. H. Lubin, C. F. Lynch, J. Pierce, C. Samanic, D. P. Sandler, A. Blair, and M. C. Alavanja Pesticide Use and Breast Cancer Risk among Farmers' Wives in the Agricultural Health Study Am. J. Epidemiol., January 15, 2005; 161(2): 121 - 135. [Abstract] [Full Text] [PDF]
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O. Raaschou-Nielsen, M. Pavuk, A. LeBlanc, P. Dumas, J. Philippe Weber, A. Olsen, A. Tjonneland, K. Overvad, and J. H. Olsen Adipose Organochlorine Concentrations and Risk of Breast Cancer Among Postmenopausal Danish Women Cancer Epidemiol. Biomarkers Prev., January 1, 2005; 14(1): 67 - 74. [Abstract] [Full Text] [PDF]
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Y. Zhang, J. P. Wise, T. R. Holford, H. Xie, P. Boyle, S. H. Zahm, J. Rusiecki, K. Zou, B. Zhang, Y. Zhu, et al. Serum Polychlorinated Biphenyls, Cytochrome P-450 1A1 Polymorphisms, and Risk of Breast Cancer in Connecticut Women Am. J. Epidemiol., December 15, 2004; 160(12): 1177 - 1183. [Abstract] [Full Text] [PDF]
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M. Petreas, D. Smith, S. Hurley, S. S. Jeffrey, D. Gilliss, and P. Reynolds Distribution of Persistent, Lipid-Soluble Chemicals in Breast and Abdominal Adipose Tissues: Lessons Learned from a Breast Cancer Study Cancer Epidemiol. Biomarkers Prev., March 1, 2004; 13(3): 416 - 424. [Abstract] [Full Text]
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 H. Tsuda, A. Naito, C. K. Kim, K. Fukamachi, H. Nomoto, and M. A. Moore Carcinogenesis and Its Modification by Environmental Endocrine Disruptors: In Vivo Experimental and Epidemiological Findings Jpn. J. Clin. Oncol., June 1, 2003; 33(6): 259 - 270. [Abstract] [Full Text] [PDF]
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 E. E. Calle, H. Frumkin, S. J. Henley, D. A. Savitz, and M. J. Thun Organochlorines and Breast Cancer Risk CA Cancer J Clin, September 1, 2002; 52(5): 301 - 309. [Abstract] [Full Text] [PDF]
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M. D. Gammon, M. S. Wolff, A. I. Neugut, S. M. Eng, S. L. Teitelbaum, J. A. Britton, M. B. Terry, B. Levin, S. D. Stellman, G. C. Kabat, et al. Environmental Toxins and Breast Cancer on Long Island. II. Organochlorine Compound Levels in Blood Cancer Epidemiol. Biomarkers Prev., August 1, 2002; 11(8): 686 - 697. [Abstract] [Full Text] [PDF]
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A. Demers, P. Ayotte, J. Brisson, S. Dodin, J. Robert, and E. Dewailly Plasma Concentrations of Polychlorinated Biphenyls and the Risk of Breast Cancer: A Congener-specific Analysis Am. J. Epidemiol., April 1, 2002; 155(7): 629 - 635. [Abstract] [Full Text] [PDF]
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 F. Laden, G. Collman, K. Iwamoto, A. J. Alberg, G. S. Berkowitz, J. L. Freudenheim, S. E. Hankinson, K. J. Helzlsouer, T. R. Holford, H.-Y. Huang, et al. 1,1-Dichloro-2,2-bis(p-chlorophenyl)ethylene and Polychlorinated Biphenyls and Breast Cancer: Combined Analysis of Five U.S. Studies J Natl Cancer Inst, May 16, 2001; 93(10): 768 - 775. [Abstract] [Full Text] [PDF]
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