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Department of Medical Epidemiology, Karolinska Institutet, SE-171 77 Stockholm, Sweden [E. W., H-O. A., I. P.]; Department of Epidemiology and Harvard Center for Cancer Prevention, Harvard University, Boston, Massachusetts 02115 [H-O. A.]; Department of Community Medicine, Dartmouth Medical School, Hanover, New Hampshire 03756 [J. A. B.]; Swedish National Food Administration, SE-75126 Uppsala, Sweden [A. W-G., M. A., S. A.]; Department of Environmental Toxicology, Uppsala University, SE-75105 Uppsala, Sweden [A. W-G.]
| Abstract |
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| Introduction |
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Despite accumulating reassuring evidence, public concern continues, as does scientific investigation focused largely on breast cancer. However, if certain organochlorines do affect the cancer risk through estrogenic mechanisms, their effects should be detected more easily in the endometrium. Whereas breast cancer risk is affected to only a relatively small extent by oral estrogens (13) , the risk for endometrial cancer increases markedly after just a few years of use (14) .
To our knowledge, to date only one study has addressed the association between organochlorine pesticides or PCBs and the risk of endometrial cancer, and the results were negative (15) . To test the hypothesis that elevated blood concentrations of specific organochlorines are associated with an increased risk of endometrial cancer, we carried out a population-based study of 10 organochlorine pesticides and 10 PCB congeners.
| Subjects and Methods |
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Women with incident histopathologically confirmed endometrial cancer
diagnosed between February 1996 and November 1997 were identified
through a network of personnel at the departments of gynecology and
gynecological oncology in the study area. (One of the 26 departments
did not collaborate.) They reported 396 cases (
95% of the expected
number; Ref. 16
). Of these, 288 (73%) volunteered to
donate blood samples and complete the study questionnaire; 41 patients
refused to participate, and 67 cases were not approached (due to
forgetfulness of the medical staff). Subsequently, 134 case women were
excluded because they had used hormone replacement therapy, leaving 154
in the study.
Population controls were recruited from the same 12 counties as the cases. They were randomly selected from a continuously up-dated population register, and were frequency-matched to the cases by 5-year age groups. Controls were not matched to cases by geographic area of residence (county) or any other characteristic.
The period of control recruitment coincided with that of cases because we sampled and enrolled controls in four phases: the spring of 1996; the fall of 1996; the spring of 1997, and the fall of 1997. Of 742 control women selected, 559 (75.3%) responded to the study questionnaire, and 492 (66.3%) also agreed to donate blood samples. After the exclusion of 287 women because of prior hysterectomy (n = 46) or use of hormone replacement therapy (n = 241), 205 control women were included in the study. Subjects who were excluded (because of refusal to give a blood sample, a previous hysterectomy, or the use of hormone replacement) did not differ meaningfully from those who were included in the study in terms of age and BMI (i.e., the main variables associated with pesticide and PCB levels. See "Statistical Methods").
The self-administrated study questionnaire requested information on
weight, height, reproductive history, diet, hormone use, smoking,
physical activity, and medical history, among others. Missing
informationmostly details on dates of use and brands of hormones
taken as oral contraceptives and hormone replacement therapywas
supplemented by a telephone interview in
50% of cases and controls.
The local Ethics Committee approved the design of this study.
Blood Sampling.
Blood samples from fasting case patients were drawn at the hospital
departments before any cancer treatment and from control subjects at a
primary health care unit or at home. Fifteen control subjects (but no
case patients) failed to fast. Serum was separated within 2 h of
collection, and frozen at -20°C until shipment to the Swedish
National Food Administration laboratory for analysis.
Analysis of Organochlorine Compounds in Human Serum.
We analyzed the lipid portion of serum samples for the 10
organochlorine pesticides and 10 PCB congeners (Table 2)
chosen a
priori because of their likelihood of being present in the food
chain in Sweden. The method used is described in detail in Atuma and
Aune (17)
. Serum samples (4 g) were mixed with methanol
and a mixture of internal standards was added to correct for recovery
and ensure quality control. The samples were then extracted three times
with n-hexane-diethyl ether (1:1, v/v). After
evaporation of the solvents, the fat content was determined
gravimetrically. The fat was redissolved in n-hexane and
treated with concentrated sulfuric acid. The PCB congeners were
separated from the bulk of the chlorinated pesticides by elution
through a silica gel column (4.5 g of 3% water-deactivated silica
gel). The first fraction, containing the PCB congeners, HCB and
p,p'-DDE, was eluted with
30 ml of n-hexane,
and the second fraction, containing mainly chlorinated pesticides, was
eluted with 40 ml of a n-hexane-diethyl ether mixture (3:1,
v/v). Analysis of the two fractions was performed on a gas
chromatograph with dual capillary columns and electron capture
detectors (63Ni). The columns were of different
polarity to ease identification of analytes, which was based on
retention times relative to internal standards. Quantification was
performed using multilevel calibration curves obtained by injection of
standard solutions of at least three different concentrations.
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Samples with concentrations at LODs 3 SD above the blank have a 99%
probability of being non-zero. To increase this probability, the
quantification limits were set at higher levels than the LODs. In this
case, the lowest standard concentration was used: 10 pg/g serum for the
PCB congeners, HCH isomers, and chlordanes; 20 pg/g for
p,p'-DDD, p,p'-DDT, and o,p'-DDT; 50
pg/g for HCB; and 200 pg/g for p,p'-DDE. The reproducibility
of the method was demonstrated by 21 replicate determinations using an
in-house control serum sample included among the analytical batches
during the course of the study. The mean concentrations of the PCB
congeners ranged from <10 pg/g serum (CB 52 and 101) to 1310 pg/g
serum (CB 153). The mean chlorinated pesticide concentrations ranged
from <1020 pg/g serum (
-HCH, g-HCH, p,p'-DDD and
o,p'-DDD) to 5260 pg/g serum (p,p'-DDE). The
coefficients of variation were <13% for most of the compounds
except the PCB congeners CB 28 (22%) and CB 105 (20%). The
coefficient of variation for fat content was 4%.
The possibility of elimination of some of the compounds during the evaporation step was studied in a standard addition experiment. The recovery qualification criteria were set at 70120%, depending on the substances. The average recoveries of the different PCB congeners added to serum samples were 98 ± 12% and 94 ± 8% for 0.1 and 0.8 ppb, respectively. The recoveries for the chlorinated pesticides varied from 78 to 118%. This shows that the loss of compounds during the analytical process was negligible. The results reported were not corrected for recovery.
The study analysts were blinded to the case-control status of the samples. Because concentrations of compounds are dependent on the amount of lipid in serum at the time of sampling, we expressed results in ng/g lipid in the serum, without further adjustment for lipid contents in the statistical analyses (18) . When concentrations were below the quantification limit, they were set to 50% of that limit in all statistical analysis.
Grouping of Organochlorines.
In addition to analyses of individual compounds, we considered groups
of substances according to their possible hormonal activity. The
grouping was based on a literature review by an outside expert (K.
Moysich), blinded to any study findings. In grouping compounds, we
added molar concentrations to compensate for differences in molecular
weight (unit of measurement, nmol/g lipid).
Thus, we grouped the compounds as follows:
(a) estrogenic: p,p'-DDD, o,p'-DDT,
p,p'-DDT, ß-HCH,
-HCH, trans-nonachlor,
oxychlordane, and CBs 28, 52, 101, and 153 (19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31)
;
(b) antiestrogenic: CBs 105, 118, 156, and 167 (30) ; and
(c) no known estrogenic effect:
-HCH, HCB,
p,p'-DDE, CBs 138 and 180 (19
, 30)
.
The hormonal activity of PCB congeners CB 101, 138, 153, and 180 has barely been studied. However, CB 101 and 153 seem to be weakly estrogenic (26 , 28, 29, 30, 31) .
Because p,p'-DDE has been reported to have antiandrogenic effects (32) , we also analyzed the group of compounds with no known hormonal effect excluding this substance. Finally, we also considered all PCB congeners (total PCB).
Statistical Analysis.
Because many variables were strongly skewed, we used the nonparametric
two-sample Wilcoxon test for unpaired data to conduct unadjusted
comparisons of serum organochlorine concentrations in case and control
women. Background variables were compared by t tests or
2 tests for homogeneity. In the main analyses
ORs and 95% CIs were calculated using unconditional logistic
regression models, fit by maximum likelihood (33)
. We
considered the possible confounding effects of the following variables,
which are known or hypothesized risk factors for endometrial cancer:
age; menopausal status; ages at menarche, menopause, and first and last
births; parity; breast-feeding; height; BMI [i.e., ratio of
weight to height squared (kg/m2)], use of oral
contraceptives or topic estriol, dienestrol, or estradiol; family
history of endometrial cancer; smoking; and clinical history of
diabetes mellitus and hypertension. Only control for age and BMI
affected risk estimates meaningfully and so were included in the final
models. Tests for trend over categories were performed by the
introduction of "semi-continuous" variables obtained by assigning
consecutive integers to levels of categorized variables.
The organochlorine pesticides and PCB congeners were analyzed both in
untransformed form (presented in "Results") and in logarithmically
transformed form, with similar results. For most compounds, subjects
were also grouped into quartiles according to the distribution among
controls. For CBs 28, 52, and 101, a substantial number of subjects
(32% of CB 28, 63% of CB 52, and 74% of CB 101) had values below the
quantification limit. Therefore, we categorized these variables into
three groups: women with values below the quantification limit as a
referent, and those above quantification limits divided into two
equal-sized groups among controls. More than 90% of women had values
below the quantification limit for
-HCH,
-HCH,
p,p'-DDD, and o,p'-DDT; therefore, we subdivided
these as below (referent) and above the quantification limit. Because
all subjects had o,p'-DDE concentrations below the
quantification limit of 4 ng/g lipid in serum, we could not include
this variable in any analysis. We also considered variables in
continuous form in the analysis of substances grouped according to
possible hormonal effects.
| Results |
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Among DDT compounds, p,p'-DDE (the principal metabolite of
p,p'-DDT), had the highest mean concentrations (600700
ng/g lipid). The average concentrations of the other pesticides were
usually lower by a factor 10 or more. For all compounds, the range of
exposure was substantial both among case patients and among control
women (Table 2)
.
In unadjusted analyses, median concentrations of p,p'-DDT,
p,p'-DDE, ß-HCH, and oxychlordane were higher among case
patients than among controls (Table 2)
. However, after adjustment for
age and BMI in logistic regression, ORs were close to unity and there
was no evidence of any trends in risk over quartiles of exposure (Table 3)
. Similarly, there were no substantial differences in risk between
women with values above and below the quantification limit for
o,p'-DDT (OR adjusted for age and BMI, 1.4; 95% CI,
0.63.5), p,p'-DDD (OR, 0.9; 95% CI, 0.51.7),
-HCH
(OR, 1.2; 95% CI, 0.43.7), or
-HCH (OR 1.5; 95% CI, 0.82.8).
In the analyses of organochlorines as continuous variables, we found no
associations between risk for endometrial cancer and any of the 10
pesticides evaluated (data not shown).
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236 ng/g lipid), whereas CB 28, CB 52, and CB 101 often had
concentrations below the quantification limit (2 ng/g lipid). As for
the pesticides, we found a wide range of serum concentrations of PCBs
among both cases and controls (Table 2)
Unadjusted mean concentrations of CB 28 and CB 118 were higher among
cases than among controls (Table 2)
. However, after adjustment there
was no substantial increase in risk associated with high concentrations
of any of the congeners evaluated, and there were no significant trends
in risk (Table 4)
. Likewise, no differences were seen for PCB congeners CB 28, CB 52, or
CB 101, which we considered in two categories using undetectable levels
as reference. Finally, in the analyses of the 10 different PCB
measurements in continuous form, there was no significant association
between any of the congeners and endometrial cancer risk (data not
shown).
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| Discussion |
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Our study has several strengths, including its population-based design, relatively large sample size, restriction of the analysis to women who never used hormone replacement therapy (which could mask possible hormone-like effects of organochlorine compounds), and the availability of detailed questionnaire information, which allowed us to adjust for potential confounding effects. Furthermore we conducted analyses of 20 specific compounds rather than of p,p'-DDE and/or total PCB only as in most previous studies. Laboratory analyses were carried out under strict quality control and enabled us to study the cancer risk caused by exposure to single PCB congeners as well as to groups of PCB with different hormonal activities. To our knowledge, the only other study that has tried to classify compounds according to potential hormonal activity only did so for different PCB congeners (15) . We also included several chlorinated pesticides in our grouping.
Samples from cases were collected immediately after diagnosis and before surgery or any other cancer therapy. Therefore, organochlorine concentrations could not have been influenced by the cancer treatment.
If organochlorine concentrations were affected by the disease itself (e.g., because of weight loss, which is very rare in early disease phases), we probably would have observed higher organochlorine concentrations among cases, and thus would have a biased overestimation of the relative risks. However, no clear differences in organochlorine concentrations between case patients and control subjects were observed. Moreover, in Sweden most endometrial cancers are diagnosed in early stages (34) when no changes in weight due to disease are observed.
Selection bias would have occurred only if nonparticipation, which was substantial in our study, was related differently to organochlorine concentrations among eligible cases and controls. Among cases, the main reason for nonparticipation was the failure of the hospital staff to collect blood samples before surgery. Therefore, nonparticipation probably reflects mostly characteristics of the medical personnel, and not patients characteristics. Differential participation according to organochlorine concentration among control subjects also seems unlikely because we did not find any association between organochlorine levels and characteristics possibly associated with nonparticipation, such as educational level, smoking habits, diet, and use of exogenous hormones (data not shown). We measured both original organochlorine products and major metabolites such as p,p'-DDE and oxychlordane. However, it is possible that we overlooked other meaningful exposures. Some nonpersistent estrogenic DDT and PCB compounds cannot be detected in humans decades after exposure (35) , and we did not measure a variety of other persistent compounds such as hydroxylated PCBs, polychlorinated dibenzo-p-dioxins, polychlorinated dibenzofurans, and non-o-PCBs. In addition, our grouping of substances is uncertain because there are relatively few animal or human data on hormonal activity of organochlorines.
The study laboratory participated in the fourth round of the "World Health Organizations interlaboratory quality assessment study on human milk and blood," which included analyses of PCBs in blood plasma. The results obtained were in good agreement with the consensus values, which ranged from 2 to 697 pg/g serum (17) . The lower quantification limit in this analysis was due to the larger serum volume used in the WHO study.
It is difficult to compare the organochlorine concentrations found in
our study with results from previous cancer studies because of
differences in analytical procedures. Our LODs are in the lower range
of those reported in other recent cancer studies (8
, 12
, 15
, 36)
. Our method permitted low LODs partly because we used dual
capillary columns instead of single packed columns (4
, 5
, 8
, 9)
. Dual capillary columns decrease the interference and
increase the selectivity and sensitivity in the analysis. Moreover,
earlier studies used lower serum volumes in the analysis (0.52 ml)
than we did (
4 ml; Refs. 8
, 12 , 15
, 36
). The LODs
decrease with increasing serum volumes. Some of the studies did not
lipid-adjust their results (4
, 5 , 9)
, although the
concentration of organochlorines in serum or plasma is dependent on the
lipid content. Moreover, in some of the studies, single packed columns
were used in the analysis (4
, 5
, 8
, 9)
. We used dual
capillary columns, which increases the sensitivity and selectivity and
decreases the interference in the analysis. In older methods for PCB
analysis, technical PCB mixtures were used as standards in the analysis
(2, 3, 4, 5
, 9
, 18)
. As in other more recent cancer studies
(7
, 12
, 36) , we performed congener-specific analysis of
PCB, which makes comparison with the older studies difficult. Finally,
different biological materials have been used (e.g., adipose
tissue, serum), which further complicates comparisons. However,
after standardizing for lipid content in different tissues, the mean
concentrations of organochlorines in our study were in the lower range
of those reported previously for controls in North American and
European breast cancer studies, where sampling occurred in the late
1980s and early 1990s (average concentrations, 10202200 ng/g lipid
for p,p'-DDE and 350-1300 ng/g lipid for total PCBs; Refs.
3, 4, 5, 6
, 11
, 12
, 18
). The somewhat lower average exposure in
our study (sampling 19961997) at least partially reflects the
continuous decline in exposure in Europe and North America after the
banning of these compounds (18
, 37, 38, 39, 40)
. It could be that
exposure in our population was too low to cause biological effects,
although endometrial cancer is known to be the most estrogen-sensitive
malignancy in women. In addition, all compounds analyzed in our study
had a substantial range of variation, one to two orders of magnitude.
However, no evidence of trend emerged in categorized or continuous
analyses. We observed irregular patterns of increased risk for certain
compounds (e.g., for compounds with no known hormonal
effect, excluding p,p'-DDE; Table 5
).
It is reassuring that the previously published study on organochlorines and endometrial cancer (15) also did not reveal any associations, although median concentrations were higher than ours. That study (15) included 90 endometrial cancer cases and 90 controls, and the substances analyzed were p,p'-DDE, o,p'-DDT, p,p'-DDT, ß-HCB, dieldrin, HCB, oxychlordane, trans-nonachlor, heptachlor epoxide, and 27 PCBs (grouped as "Total PCB," estrogenic PCBs, antiestrogenic PCBs, and enzyme-inducing PCBs).
We studied women with no substantial use of menopause hormones among whom the effects of weakly estrogenic substances should be most apparent. Because we found no associations, we conclude that the studied environmental contaminants do not cause endometrial cancer at the concentrations found in our population. These reassuring results are likely generalizable to other populations where similar levels of these contaminants are present in the environment.
| Acknowledgments |
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| Footnotes |
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1 Supported by grants from the Swedish Cancer
Society, and The Chlorine Chemistry Council, USA. There are no
conflicts of interest between any of the researchers involved in this
study and the funding agencies. ![]()
2 To whom requests for reprints should be
addressed, at Department of Medical Epidemiology. Karolinska
Institutet, SE-171 77 Stockholm, Sweden. Phone: 46 8 728 6154; Fax: 46
8 314957; E-mail: Elisabete.Weiderpass{at}mep.ki.se ![]()
3 The abbreviations used are: DDT,
dichlorodiphenyltrichloroethane; PCB, polychlorinated biphenyl; BMI,
body mass index; HCB, hexachlorobenzene; DDE,
dichlorodiphenyldichloroethylene; LOD, limit of detection; HCH,
hexachlorocyclohexane; DDD, dichlorodiphenyldichloroethane; CB,
chlorinated biphenyl; OR, odds ratio; CI, confidence interval. ![]()
Received 6/ 3/99; revised 2/14/00; accepted 2/28/00.
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