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Epidemiology and Prevention |
Institute of Biomedical Sciences [Y-P. F., T-C. C., C-Y. W., P-E. W., C-Y. S.] and Life Science Library [C-Y. S.], Academia Sinica, Taipei, 11529, Taiwan, Graduate Institute of Epidemiology, National Taiwan University, Taipei, Taiwan [Y-P. F., T-C. C., C-Y. W.]; Departments of Surgery [J-C. Y.] and Radiology [G-C. H.], Tri-Service General Hospital, Taipei, Taiwan, Department of Surgery, Cardinal Tien Hospital and Fu-Jen Catholic University, Taipei, Taiwan [M. A. L.]; Department of Surgery, Changhua Christian Hospital, Changhua, Taiwan [S-T. C.]; and Department of Surgery, Show Chwan Memorial Hospital, Changhua, Taiwan [H-S. W.]
| ABSTRACT |
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| INTRODUCTION |
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Phenotypic variation is often seen in many apparently simple single-gene disorders, and some of these differences occur in subjects with the same mutation, indicating the presence of modifying factors. Such modification is expected to be relatively stronger in the case of an effect contributed by low-penetrance genes (alleles), and the modifying factors are probably both genetic and environmental. For example, the greatest incremental lung cancer risk (7-fold) for the high-risk genotype of CYP1A1 (the phase I gene involved in the carcinogen detoxification pathway) is seen in light smokers because heavy smokers with this genotype have less than twice the risk of heavy smokers without this genotype (10) . On the other hand, the greater cancer risk associated with the high-risk CYP1A1 genotype is particularly significant in the subgroup of subjects harboring the low-activity (high-risk) genotype of GSTM1 (the phase II gene involved in the carcinogen detoxification pathway; Ref. 11 ), suggesting that the risk might also be modified by the status of other functionally linked genes. More importantly, as our understanding of cancer development is extended from single-gene disorders to multigenic disorders and etiological pathway-wide abnormalities, genes involved in the same mechanistic pathway are expected to modify the tumorigenic effects contributed by the other partners, and thus it becomes important to determine whether the joint effects of several defective genes in a common antitumorigenic pathway are associated with an increased cancer risk (second study aim). We were especially interested in knowing whether the association between the joint effect of NHEJ genes and breast cancer was modified by reproductive risk factors reflecting susceptibility to estrogen exposure (third study aim). The rationale underlying this hypothesis is that estrogen metabolites may initiate breast tumorigenesis by causing various forms of oxidative DNA damage, including DSB formation (12 , 13) . Because NHEJ is one of the major mechanisms involved in DSB repair, elucidating an interaction between NHEJ genotypes and reproductive risk factor on cancer risk might yield valuable clues on the association of breast tumorigenesis with estrogen.
| MATERIALS AND METHODS |
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To avoid any differential recall bias of previous disease history, we purposely randomly selected the controls from the health examination clinic of the same hospital during the same study period. These controls accounted for about 75% of all women attending the clinic, and no significant differences were found in terms of socioeconomic status between those included and those not included. The control subjects underwent a 1-day comprehensive health examination and showed no evidence of breast cancer, any suspicious precancerous lesions of the breast, or other cancers.
Questionnaire.
Two experienced research nurses were assigned to administer a structured questionnaire to both case and control subjects. The information collected included age at diagnosis, family history of breast cancer (first-degree relatives), history of breast biopsy, history of breast screening, age at menarche and/or menopause, parity, age at first full-term pregnancy, number of pregnancies, history of breast feeding, use of oral contraceptives, hormone replacement therapy, history of drinking alcohol and smoking cigarettes, ethnic background, residence area, family income, and education level. The BMI and menopausal status were also recorded. Women younger than 55 years who had undergone hysterectomy but not bilateral oophorectomy were classified as unknown in terms of menopausal status.
SNP Selection and SNP Genotyping.
SNP information was obtained from the following five databases: (a) the SNP Consortium;4
(b) National Center for Biotechnology Information;5
(c) GeneSNPs Public Internet Resource;6
(d) GeneCards;7
and (e) Japan SNP Database.8
We selected six SNPs for each NHEJ gene, and a total of 30 SNPs were genotyped. Because there have not been any reports of an association between genotypic and phenotypic changes in the SNPs of the NHEJ genes, these selected SNPs were used as markers to reflect possible LD between themselves and different alleles of the gene of undefined phenotypic variation. We used more than one SNP per gene to have an unbiased definition of the allelic and haplotypic statuses of each gene.
All SNPs were genotyped using a MassARRAY (SEQUENOM, Inc., San Diego, CA). The PCR primers and extension primers for all SNPs were designed using Spectro-Designer software (SEQUENOM, Inc.). To ensure that the observed polymorphisms were specific and not the results of experimental variation, the results were confirmed by repeating 25% of the assays and by directly sequencing 10% of the specimens.
Statistical Analysis.
The following sequential statistical analyses were used. (a) Univariate and multivariate analyses were used to determine risk factors and to establish background risk profiles for breast cancer in this series of study subjects. Significant reproductive risk factors would serve as important indices to estimate the estrogen exposure level or susceptibility to estrogen exposure in the later analysis. (b) Genotypic frequencies of each SNP of the individual NHEJ genes were compared between cases and controls. The hypothesis of differences in frequencies of low-penetrance alleles between cases and controls (first study aim) was first tested using multivariate logistic regression models with simultaneous consideration of known risk factors of breast cancer, and adjusted Ps for the association were estimated. (c) A joint contribution of individual NHEJ genes to increased breast cancer risk (second study aim) was explored in several ways. We performed a conventional logistic regression (19)
, a test evaluating whether a trend toward an increase in the number of putative high-risk genotypes in all NHEJ genes with increasing breast cancer risk (measured by the ß estimates from this regression model) was statistically significant. Furthermore, because, in NHEJ, a DSB is first recognized by the end-binding DNA-PK complex (consisting of Ku70, Ku80, and DNA-PKcs), which subsequently recruits the ligase IV/XRCC4 complex, thereby enhancing its ligation activity in DSB rejoining (20
, 21)
, we investigated separately the joint effect (reflected by the number of putative high-risk genotypes) of the genes participating in these two different steps of NHEJ, i.e., we separately looked for joint effect of Ku70, Ku80, and DNA-PKcs and for the joint effect of Ligase IV and XRCC4. (d) Because we were especially interested in the relationship between the joint effect of NHEJ genes and breast cancer risk within categories of risk factors representing different levels of estrogen exposure or different degrees of susceptibility to estrogen exposure (third study aim), we calculated the risk of breast cancer associated with the combination of the number of putative high-risk genotypes of NHEJ genes and a reproductive risk factor. Using ß estimates from the logistic regression model, in which we used a set of dummy variables (22
, 23)
representing different combinations of genes (i.e., the number of putative high-risk genotypes) and risk factors, we assessed the relative excess risk from harboring different numbers of putative high-risk genotype within risk factor strata (22
, 24) . (e) If estrogen initiates breast tumorigenesis by causing DSB formation, then the relationship between breast cancer risk and reproductive risk factors would not be the same in women harboring different NEHJ genotypes; this was evaluated by calculating the risk (aOR) of breast cancer associated with reproductive risk factors in women with a higher or a lower number of NHEJ susceptibility (putative high-risk) genotypes.
| RESULTS |
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13 years versus >13 years, aOR, 1.1; 95% CI, 0.81.5) and had a lower frequency of a history of full-term pregnancy (no history versus having at least one full-term pregnancy, aOR, 2.5; 95% CI, 1.54.2). Significant protection was conferred by a greater number of full-term pregnancies (history of
3 full-term pregnancies versus no history of full-term pregnancy, aOR, 0.5; 95% CI, 0.30.8). No association was found between cancer risk and smoking status, radiation exposure, hormone replacement therapy, or dietary intake of specific kinds of foods or vegetables, but obese women (women with a BMI > 24 kg/m2) showed a significantly higher risk (aOR, 2.3; 95% CI, 1.34.1).
Thirty SNPs of five NHEJ genes described in SNP databases were genotyped for initial screening in 192 cases and 192 controls. Of these, 16 were not observed, and 2 were infrequent (frequency of the less frequent allele < 0.01), so these 18 SNPs were not genotyped in the rest of the samples. The remaining 12 SNPs (3 for Ku70, 2 for Ku80, 1 for DNA-PKcs, 3 for Ligase IV, and 3 for XRCC4) were genotyped in all cases and controls. All 12 SNPs were in Hardy-Weinberg equilibrium in the controls. To explore a possible association between breast cancer and individual SNPs of the NHEJ genes, the heterozygous and homozygous variant genotypes were grouped together and compared with the homozygous wild-type genotype. Because of the small percentage of individuals among our subjects with the homozygous variant genotype (<5%) for some genes (e.g., Ku80), this grouping resulted in increased statistical power in detecting the main effect (an association between NHEJ genes and breast cancer risk). When the genotype distributions of the 12 SNPs were compared between cases and controls and the effects of breast cancer risk factors were simultaneously adjusted in the multivariate logistic regression models, two SNPs, one in Ku70 and the other in XRCC4, were found to show statistically significant differences (Table 1)
. Because all SNPs in the same gene were in strong LD (P < 0.01, examined by the EH program available online9
) in both cases and controls and because the frequency distribution based on haplotypes was similar to that based on individual SNPs, we chose one SNP, which showed the most significant Ps in the multivariate logistic regression analyses, to represent the allelic status for individual NHEJ genes. Furthermore, in the subsequent analyses, to look for an association between breast cancer risk and genotypic polymorphism of NHEJ genes, we defined the susceptibility (high-risk) genotypes on the basis of the findings of the present study. This definition is genetically reasonable because possible LD between these SNPs and functionally significant alleles is expected to differ in populations. Thus, the heterozygous and homozygous variants of Ku80(G69506A) or DNA-PKcs(C55966T) and the homozygous wild-type of Ku70(C-61G), Ligase IV(C4062T), or XRCC4(T1394G) were considered as putative high-risk (susceptibility) genotypes.
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1 putative high-risk genotype in the five NHEJ genes, because such a definition would give sufficient statistical power to address relevant questions. The reference group consisted of women harboring
1 putative high-risk genotype and having a history of full-term pregnancy. In the absence of the reproductive risk factor, the harboring of a higher number (>1) of putative high-risk genotypes of the NHEJ genes was associated with a significant but modest increase in risk. However, in the presence of the reproductive risk factor, the harboring of a >1 putative high-risk genotype of NHEJ genes was associated with a much greater combined risk of breast cancer (Table 3)
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1 putative high-risk genotype and no history of full-term pregnancy) demonstrated a higher risk (aOR, 3.75; 95% CI, 1.857.63) than women with either only a higher number of high-risk genotypes (aOR, 1.54; 95% CI, 1.022.35) or only no history of full-term pregnancy (aOR, 2.14; 95% CI, 0.746.14). The hypothesis that a joint effect of two NHEJ genes and risk factors reflecting increased susceptibility to estrogen exposure was linked to breast cancer development was therefore confirmed by these findings based on this conservative definition.
Finally, we investigated the potential importance of a protective effect of the number of full-term pregnancies in conjunction with putative low-risk genotypes of the five NHEJ genes. The aORs associated with an additional full-term pregnancy within strata of the number of putative high-risk NHEJ genotypes were estimated. Modification of the protective effect was supported by our findings, shown in Table 4
, which demonstrate that a significant decrease in cancer risk associated with the number of full-term pregnancies was seen only in women with a lower number of putative high-risk genotypes. Furthermore, to confirm this result, we specifically estimated the risk associated with different numbers of full-term pregnancies in women with different high-risk NHEJ genotypes. Within the >1 putative high-risk genotype stratum, there was only a modest, nonsignificant decrease in risk of developing breast cancer with three or more full-term pregnancies. However, in women with a lower number (
1) of putative high-risk genotypes of NHEJ genes, a significant decrease in breast cancer risk (about 4-fold; aOR, 0.27; 95% CI, 0.090.83) was seen with a history of three or more full-term pregnancies. The possibility of a difference in statistical power in the detection of cancer risk due to different sample sizes in the subsets of women can be excluded because there were actually fewer study subjects with
1 putative high-risk genotype of individual genes than with >1 putative high-risk genotype.
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| DISCUSSION |
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NHEJ mutant mice exhibit a relatively long latency (Ku70, Ku80, and DNA-PKcs knockout mice) or even absence (Ligase IV and XRCC4 knockout mice) of tumorigenesis, which can probably be explained by highly efficient apoptosis because inhibition of apoptosis by a p53 mutation, in addition to the NHEJ gene mutation, results in rapid tumor development (4
, 6)
. The importance of these findings is that escaping checkpoint surveillance is a critical element in the pathogenesis of cancer resulting from defective DNA repair mechanisms (Fig. 1A)
, and it is probable that only mild phenotypic defects, such as slightly increased genomic instability resulting from suboptimal repair capacity associated with SNPs of repair genes, could meet this "hide-then-hit" requirement (Fig. 1B)
. Our results showing an association between breast cancer risk and SNPs of NHEJ genes (including the genes Ligase IV and XRCC4, which do not show malignant phenotypes in knockout mice) lend support to this possibility. On the other hand, our demonstration of breast tumorigenic contribution of low-penetrance alleles of NHEJ genes is also consistent with the suggestion that apparently disparate spectrum of malignancies can be differently caused by the mutated form or by hypomorphic/polymorphic variants of the same genes (31)
. During B- and T-cell differentiation, the genes that encode immunoglobulins and T-cell receptors have to be assembled into active genes by V(D)J recombination, which proceeds through a DSB intermediate and requires NHEJ proteins for completion (6)
. Accordingly, it appears mechanistically reasonable that B-cell or T-cell tumors are the dominant malignant phenotypes observed in NHEJ gene knockout mice bearing a p53 mutation (4
, 6)
. In contrast, possible genomic defects resulting from low-penetrance NHEJ variants are expected to be minor and may not be great enough to initiate tumors at primary sites [i.e., tumors of lymphoid origin (a hypothesized model is shown in Fig. 1
)]. Consequently, cancers would develop in other tissues but would require a long period of time to accumulate essential genetic defects, and tumorigenesis would be prompted by selective exogenous or endogenous environmental factors (32)
. The results of the present study lead us to suspect that increased exposure of breast epithelium to estrogen may be one such factor, allowing breast cells with a suboptimal NHEJ capacity to accumulate sufficient DSBs in cancer-causing genes and consequently to display a growth advantage, leading to tumors.
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In addition to in vitro experiments (12
, 13)
, many studies on breast cancer patients that have focused mainly on different steps of estrogen metabolism have demonstrated the potential of estrogen to cause DNA damage. Inherited variants in genes involved in the detoxification of mutagenic estrogen metabolites, including those coding for catechol-O-methyltransferase (16
, 37) , glutathione S-transferase (reviewed in Ref. 38
), and uridine diphospho-glucuronosyltranserase (39)
, have been suggested to be associated with an increased risk of breast cancer. In addition, given that oxidation mediated by reactive oxygen species is thought to be the mechanism involved in the carcinogenic effect of estrogen, possible protective effects of the frequent intake of antioxidants (e.g., vitamin C; Ref. 40
) or a predisposition due to harboring high-activity antioxidant enzymes (e.g., Manganese superoxide dismutase; Ref. 41
) have been suggested. The present study tested this hypothesis using a different approach in which we explored whether breast tumorigenesis was linked to DNA DSB repair. The design, based on genotypic polymorphism, provides a reliable estimate of the lifetime influence of impaired DNA repair on the risk of developing breast cancer. In addition, such a design, based on the genetic background, is not subject to bias due to incorrect interpretation of the temporal sequence between defective repair and tumor initiation. Our findings that (a) the increased cancer risk associated with no history of pregnancy, supposedly resulting in increased susceptibility to estrogen exposure, was even more pronounced in women harboring a higher number of putative high-risk genotypes of NHEJ genes (Table 3)
and (b) the protective effect conferred by full-term pregnancy varied according to the genotype status of the NHEJ genes (Table 4)
support the notion that increased estrogen exposure confers a higher risk of breast cancer by generating DSB damage in DNA. These results shed light on our understanding of breast tumorigenesis because, although a link between common carcinogens, including cigarette smoke, and breast cancer has been suggested, nothing definite is known about the DNA-damaging agents causing breast cancer. Our findings certainly do not exclude the well-established mechanisms by which estrogen triggers cell proliferation and tumor promotion. Rather, the dual role of estrogen as both an initiator, causing DNA DSB damage, and a promoter, leading to cell proliferation, provides a more direct explanation for breast cancer development.
One of the most important issues in using SNPs in an association study is the interpretation of the association identified between SNPs and a given trait. The present study used a candidate gene approach, based on SNPs located in the genes of the NHEJ pathway. Because most of the SNPs analyzed in our multivariate models are in introns or do not affect amino acid coding and therefore probably do not affect protein function, the observed associations between breast cancer risk and SNPs should be interpreted as the presence of LD between these SNPs and other SNPs in exons, resulting in functional polymorphism. We have attempted to use more than one SNP in these genes to assign the haplotypes and to examine haplotype effects on cancer risk, but the information generated by haplotype analysis is limited, due to strong LD between SNPs in the same gene. However, these SNPs, which probably have no functional effect, may be of particular methodological importance in addressing the tumorigenic contribution of NHEJ genes to breast cancer risk. Although NHEJ is essential for mammalian cells to repair DSB, it is intrinsically an error-prone mechanism (4 , 5) , which suggests that the balance and interaction between the activities of the two DSB repair pathways, NHEJ and homologous recombination (an error-free mechanism), may be as important as the individual pathways (42) . Thus, the use of SNPs with no functional effects enabled us to examine putative associations without resorting to an a priori hypothesis proposing that a decreased NHEJ capacity is related to an increased risk of cancer.
To search for mutators responsible for the genomic instability leading to breast tumorigenesis, in our recent studies (3 , 17 , 18) , we have attempted to identify specific molecular mechanisms whose functional aberrations are related to advanced pathological/clinical manifestations. This approach is supported by the fact that, instead of being a single-gene disease, cancer arises from aberrations in a complex, interconnecting network of multiple regulatory genes involved in normal growth control processes and the maintenance of genomic stability. Given the high frequency of chromosomal abnormalities and mutations found in human cancers, the hypothesis that cancer is caused by a mutator phenotype was proposed (43) and has been confirmed by germ-line mutation of defective DNA repair genes causally leading to the initiation of hereditary cancer syndromes (1) . The present study followed the same hypothesis and demonstrated that the combination of genotypic polymorphisms of NHEJ genes and a reproductive risk factor is associated with breast cancer risk. This result not only supports the hypothesis of a carcinogenic role of estrogen in causing DNA DSBs in breast cancer development but also demonstrates the possible tumorigenic contribution of low-penetrance alleles of genes participating in the DSB repair pathway. However, given the number of comparisons and the sample size of the present study, the conclusions should be interpreted with caution and confirmed by other studies. On the basis of a larger sample size, we are genotyping more SNPs for individual NHEJ genes, by which haplotype analysis would become possible. Furthermore, other important genes/pathways known to be involved in DSB repair, including the genes of DSB sensing (ATM, RAD50, MRE11, and NBS1) and homologous recombination [RAD51, RAD52, hCHK2, BRCA1, and BRCA2 (4, 5, 6) ], may also play a role and are currently under investigation.
| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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1 Supported by the National Science & Technology Program for Genomic Medicine from the National Science Council, Taiwan, and the Genomics and Proteomics Program from the Academia Sinica, Taiwan. ![]()
2 To whom requests for reprints should be addressed, at Institute of Biomedical Sciences, Academia Sinica, Taipei, 11529, Taiwan. Fax: 886-2-2782-3047; E-mail: bmcys{at}ccvax.sinica.edu.tw ![]()
3 The abbreviations used are: DSB, double-strand break; aOR, adjusted odds ratio; BMI, body mass index; CI, confidence interval; LD, linkage disequilibrium; NHEJ, nonhomologous end-joining; SNP, single nucleotide polymorphism; NBS, Nijmegen breakage syndrome; A-T, ataxia telangiectasia. ![]()
5 http://www.ncbi.nlm.nih.gov/SNP/index.html. ![]()
6 http://www.genome.utah.edu/genesnps/. ![]()
7 http://bioinformatics.weizmann.ac.il/cards/. ![]()
8 http://snp.ims.u-tokyo.ac.jp/. ![]()
9 http://linkage.rockefeller/edu/soft. ![]()
Received 11/22/02. Accepted 3/10/03.
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