Authors
Zhang, Y.; Piece Wise, J.; Holford, T.; Zie, H.; Boyle, P.; Hoar Zahm,
S.; Rusiecki, J.; Zou, K.; Zhang, B.; Zhu, Y.; Owens, P.; and Zheng,
T.
Title:
Serum Polychlorinated Biphenyls, Cytochrome P-450 1A1 Polymorphisms,
and Risk of Breast Cancer in Connecticut Women.
Journal:
American Journal of Epidemiology. 160 (12): 1177-1183. 2004
Summary:
Polychlorinated biphenyls (PCBs) are strong inducers of genes involved
in steroid and xenobiotic metabolism, such as human cytochrome P450
1A1 (CYP1A1). CYP1A1 is involved in the metabolism of environmental
carcinogens to highly reactive metabolites which have the potential
to damage DNA and ultimately lead to carcinogenesis. CYP1A1 is a polymorphic
gene with at least seven different variant genotypes. Recent epidemiological
and experimental evidence suggests that genetic polymorphisms in CYP1A1
may affect the relation between environmental exposure to PCBs and breast
cancer risk.
Zhang et al. conducted
a case-control study among women in Connecticut to assess whether women
with higher levels of PCBs and specific CYP1A1 genotypes were at increased
risk of breast cancer. A total of 475 histologically confirmed incident
breast cancer were identified from hospital records, and 502 controls
were randomly selected from computerized files of women who had undergone
breast surgery and were histologically confirmed to be without breast
cancer. A standardized, structured questionnaire was used to obtain
information on possible confounding factors such as; reproductive and
lactation history, occupation, diet, family history of cancer and demographic
factors. Blood samples were collected to determine PCB levels and blood
clots were obtained for CYP1A1 genotyping. Three different CYP1A1 polymorphisms
(CYP1A1 m1, m2, and m4) were determined and were further categorized
as either wildtype (homozygous wild type allele) or variant (heterozygous
allele or homozygous variant allele). Serum levels of PCBs were categorized
as high or low. Logistic regression was used to quantify the overall
association between CYP1A1 genotype, serum PCB levels and the risk of
breast cancer.
Women with at least
one CYP1A1 m2 variant allele had a two fold increased risk of breast
cancer (Odds Ratio (OR) = 2.1, 95% Confidence Interval (CI): 1.1-3.9),
and the risk became greater among post-menopausal women (OR=2.4, 95%
CI: 1.1-5.0). No increased risk of breast cancer was found for women
who carried the m1 or m4 variant genotypes; however a significantly
increased risk of breast cancer was detected for women who carried the
CYP1A1 m2 variant genotype and had high serum PCB levels in comparison
with women with low serum PCB levels who carried the CYP1A1 m2 wildtype.
(OR=3.6, 95% CI= 1.5-8.2). This risk was higher among postmenopausal
women (OR= 4.3, 95% CI: 1.6-12.0). A borderline significant increase
in risk was found for women who carried the m1 variant genotype and
had high PCB levels as compared to women who had the wildtype genotype
and low PCB levels. There did not appear to be an increased risk of
breast cancer with different serum levels of PCBs among women who carried
m4 genotypes.
The results of this
study indicate that effect modification may be occurring between PCB
levels, CYP1A1 genotype and the risk of developing breast cancer. CYP1A1
encodes an enzyme aryl hydrocarbon hydroxylase (AHH), which catalyzes
the conversion of aromatic hydrocarbons to potentially mutagenic and
carcinogenic epoxides. As PCBs are potent inducers of CYP1A1, PCB-mediated
enhanced CYP1A1 activity may play an important role in breast cancer
development. Significantly increased risk of breast cancer was found
only for the CYP1A1 m2 genotype. Previous experimental studies have
shown that this specific genotype is more readily inducible than other
CYP1A1 genotypes. Therefore there is a biologically plausible explanation
for the results of this study. The greatest extent of CYP1A1 activity
results in the highest carcinogen bio-activation, leading to the greatest
potential risk of cancer.
In interpreting
the results of this study several potential limitations should be considered.
Because this was a case-control study, biological samples were collected
after disease onset. The current levels of PCBs may not accurately reflect
the subjects' PCB exposure during the biologically relevant windows
of exposure prior to disease development. Another potential limitation
is that the low prevalence of the variant genotype restricted the statistical
power of the study to stratify the data by major potential confounders.
In summary, the
results of this study support the findings from recent epidemiological
investigations suggesting potential effect modification between PCB
exposure, the CYP1A1 m2 polymorphism, and breast cancer risk. Larger
population-based studies are needed to further investigate the extent
at which the interaction between CYP1A1 m2 and PCBs is modified by other
variables.