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Department of Industrial Hygiene and Toxicology, Finnish Institute of Occupational Health, 00250 Helsinki, Finland [K. M., A. H.]; Unit of Cancer Epidemiology (INSERM U521), Gustave-Roussy Institute, 94805 Villejuif, France [N. J., S. B.]; Departments of Oncology [V. K.] and Surgery [M. E.], Kuopio University Hospital, 70211 Kuopio, Finland; Departments of Clinical Pathology and Forensic Medicine [V-M. K.] and Clinical Nutrition [M. U.], University of Kuopio, 70211 Kuopio, Finland; and International Agency for Research on Cancer, 69372 Lyon, France [H. V.]
| Abstract |
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13
years) was mainly limited to women with A1/A1 genotype,
although this could only be seen in premenopausal women (odds ratio,
0.34; 95% CI, 0.150.76). Similarly, we found a remarkably lower risk
for premenopausal women with at least one child (odds ratio, 0.22; 95%
CI, 0.070.62) to be mainly attributable to the A1/A1
genotype. CYP17 genotypes may thus modify
individual breast cancer proneness in certain subpopulations, although
they appear not to have any major modifying role in the risk of this
malignancy overall. Because these findings are based on relatively
small numbers in stratified analysis, they should, however, be
interpreted with caution before being confirmed in future studies. | Introduction |
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The CYP17 gene codes for the cytochrome P450c17
enzyme,
which mediates both steroid 17a-hydroxylase and 17,20-lyase activities
and functions at key branch points in human steroidogenesis (3
, 4) . The 5' untranslated region of CYP17 contains a
single T (in the A1 allele) to C (in the A2
allele) base substitution at position 1931 that creates an additional
Sp-1-type (CCACC box) promoter motif between the initiation of
translation and transcription start sites (5)
. It has led
to the reasoning that the A2 allele is associated with
enhanced transcriptional activity. Because CYP17 has a
fundamental role in steroid metabolism, it has been further reasoned
that this allele may be associated with increased susceptibility to
breast cancer.
Recently Feigelson et al. (6) found the A2 allele to be associated with higher serum estrogen and progesterone levels compared with the A1 allele. Subsequently, they found A2/A2 carriers to be half as likely current users of hormone replacement therapy compared with women with the A1/A1 genotype (OR, 0.52; 95% CI, 0.310.86; Ref. 7 ). In another study, women with the A2/A2 genotype had elevated levels of estrone and dehydroepiandrosterone (8) . On the basis of the above studies, the CYP17 polymorphism could indeed be an important modifier of the corresponding enzyme activity.
As for the potential role of CYP17 polymorphism in breast cancer risk, the studies completed thus far have given controversial results. In the first study by Feigelson et al. (9) , the women with A2 allele-containing genotypes were at 2.5-fold (95% CI, 1.075.94) risk for advanced breast cancer compared with the women without the allele. The reduced risk of breast cancer usually associated with a later age at menarche was also observed but was limited to women with the A1/A1 genotype (OR, 0.47; 95% CI, 0.220.98). This observation was recently supported in another study where the respective OR was 0.57 (95% CI, 0.360.90; Ref. 8 ). Recently Bergman-Jungestrom et al. (10) reported a significantly increased risk (OR, 2.0; 95% CI, 1.13.5) for young women (<37 years) carrying at least one A2 allele. In another study this allele was associated with a significantly increased risk (OR, 2.10; 95% CI, 1.044.27) for male, but not for female, breast cancer (11) . The other studies did not show any significant association between CYP17 genotypes and breast cancer risk (12, 13, 14, 15, 16) .
Most of the earlier studies have suffered from a small study size, racially diverse study populations, or deficiency of study design in terms of not selecting controls to match the cases by age and menopausal status. This has raised a need for large studies on the potential role of genes encoding for estrogen metabolism and transport enzymes in individual breast cancer proneness, recently emphasized by Coughlin and Piper (17) . We further investigated the potential role of CYP17 polymorphism in breast cancer proneness in a large study population consisting of 483 incident breast cancer patients and 482 healthy population controls, all of homogenous Finnish origin.
| Materials and Methods |
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Healthy population controls were drawn from the Finnish National Population Register covering the same catchment area of the cases. In all, 514 controls were interviewed in parallel with the cancer cases, for a final participation rate of 72%. Of these, lymphocyte DNA was available for 492 subjects.
Four controls and three cancer cases were excluded from the study because of the poor quality of their DNA. Additionally, we excluded four population controls with earlier breast cancer diagnosis, as well as two controls of non-Finnish origin. Therefore, our final study population contained 483 incident breast cancer cases, and 482 healthy subjects, all Finnish Caucasians.
The malignant breast tumors were categorized on the basis of UICC Tumor-Node-Metastasis classification (19) . Women having axillary lymph node-positive disease (n = 164) or metastatic breast cancer (stage IV; n = 16) at diagnosis were considered advanced cases. The cases diagnosed with a tumor confined to the breast, either in situ (n = 40) or invasive (n = 253), were designated as local. This categorization could not be performed for 10 patients because of missing information on lymph node involvement.
CYP17 Genotyping.
The CYP17 genotype was determined by a PCR-based method
essentially as described by Feigelson et al.
(6)
. Briefly, subsequent to the PCR with specific primers
(5'-CAT TCG CAC TCT GGA GTC-3' and 5'-AGG CTC TTG GGG TAC TTG-3'),
15-µl aliquots of the amplification products were digested for 2 h at 37°C using MspAI (Promega). Presence of the
MspA1 restriction site differentiated the A2
allele from the A1 allele, which lacks the site. To
ensure the quality of the laboratory analyses, two independent readers
interpreted the results, any sample with ambiguous results was
reanalyzed, and a random selection of 10% of all samples was repeated.
No discrepancies were discovered upon replicate testing.
Statistical Analysis.
The association between CYP17 alleles and breast cancer was
examined using unconditional logistic regression. All ORs and 95%
CIs were adjusted for age (5-year intervals), age at menarche
(
12, 1314,
15 years), age at FFTP (nulliparous, <25, 2530,
>30 years), number of children (continuous), history of benign breast
disease (no/yes), first-degree (mother, sister, daughter) family
history of breast cancer (no/yes), WHR (
0.91, >0.91), use of oral
contraceptives (never/ever), and postmenopausal use of estrogen
(never/ever). If data on any of the adjusting variables was missing,
subjects were excluded from the logistic regression analyses.
The putative low-risk genotype A1/A1 served as a reference category. All analyses were first performed separately for subjects with A1/A2 and A2/A2 genotypes. However, as no clear gene dose effects were observed, the A1/A2 and A2/A2 genotypes were combined to increase the statistical power in stratified analysis.
All results are shown stratified by menopausal status at the time of the diagnosis of the case patient. Women who reported natural menopause or had undergone bilateral oophorectomy were classified as postmenopausal. Hysterectomized women with intact ovaries/ovary (40 cases, 41 controls) and women for whom the details of the operation were unknown (6 cases, 2 controls) were also classified postmenopausal if they were no longer menstruating and were older than 51 years (median for menopause in Finnish women). All of the others were classified premenopausal. WHR, BMI, and age at FFTP were dichotomized on the basis of the median values for population controls. The methods regarding clinical data and medical history have been described in detail elsewhere (18) .
| Results |
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13 years) was more pronounced among
premenopausal women with A1/A1 genotype (OR, 0.34; 95% CI,
0.150.76; P for interaction = 0.10). This
effect could not be seen when pre- and postmenopausal women were
considered together (OR, 1.25; 95% CI, 0.742.09). An especially low
risk (OR, 0.22; 95% CI, 0.070.62) was observed for premenopausal
women with at least one child and the A1/A1 genotype
(P for interaction = 0.11). In contrast, an increased
risk of breast cancer with borderline significance (OR, 1.7; 95% CI,
0.982.94) was observed for postmenopausal women with A1/A2
or A2/A2 genotype and BMIs over 25.4
kg/m2
. The risks associated with postmenopausal
use of estrogen, use of oral contraceptives, age at FFTP, and WHR were
not modified by the CYP17 genotype.
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| Discussion |
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Similarly to later age at menarche, the benefit of having children was found only among the premenopausal women with the A1/A1 genotype (OR, 0.22; 95% CI, 0.070.62). This observation is compatible with the hypothesis that the protection against breast cancer is reduced among women with the A2 allele containing genotypes because of elevated baseline levels of circulating steroid hormones. Contrasting the finding of Haiman et al. (8) , the same was not found for the earlier age at FFTP.
It should be noted that even if our study contained a reasonably large sample size, the number of subjects in the subgroup analysis was relatively low. The findings should thus be interpreted with caution before confirmed in future studies.
As the above-described significant associations were mainly confined to premenopausal women, this supports the view that the etiology of breast cancer may differ by menopausal status. The menopausal status should thus be taken properly into account in the analyses. However, in the study of Weston et al. (16) with 363 cases and 240 patient controls of Caucasian, African-American, and Latino origin, no detailed data were given about the potential effect of menopausal status. In the study by Kristensen et al. (15) including 510 Norwegian cases and 210 controls, the controls were 2044 years old (i.e., mostly premenopausal), whereas the cases were 2791 years old (i.e., both pre- and postmenopausal). Inversely, in the largest study done thus far, by Dunning et al. (12) , the breast cancer patients (n = 835) were all diagnosed under the age of 55 years (i.e., mostly premenopausal), whereas the age at diagnosis of the controls (n = 591) varied between 45 and 74 years (i.e., both pre- and postmenopausal). They acknowledged the problem, especially because the positive findings of Feigelson et al. (9) were from considerably older cases (63 years) and controls (61 years), and stressed the possibility that CYP17 genotype effects might be age-specific with marked effects seen only among older cases, raising a need for additional studies involving older study subjects. However, the present study included relatively large group of postmenopausal subjects with mean ages of 61 years and 66 years for the controls and cases, respectively, but no significant genotype effects were seen.
Although there was a clear tendency of lower risk of advanced breast cancer in carriers of at least one A2 allele, the association did not reach statistical significance. Moreover, the A2 allele-containing genotypes were not significantly associated with disease status (local versus advanced) among the cases. We therefore cannot totally rule out the possibility that the apparent effect modification by disease status was a chance finding. This remains to be evaluated in future studies.
Excluding the above study of Dunning et al. (12) , one weakness in the previous studies was their small study size. Despite being one of the largest, our study barely reached the 90% power at the 5% significance level to detect a 1.5-fold moderate effect in the risk associated with the variant allele. Most of the previous studies included considerably smaller study populations than ours and may thus have lacked statistical power for reliable interpretations. Evidently, larger studies are thus needed to obtain more precise risk estimates.
Because the genotype effects have been shown to differ by race, ethnically mixed study populations are also anticipated to be a potential source of bias in the previous studies. More studies in ethnically diverse but homogenous study populations are thus needed. In this respect, one of the strengths of our study may be the inclusion of only cases and controls who were confirmed to be of genetically homogenous Finnish origin.
It has to be noted that the original study of Feigelson et al. (9) , showing a 2.5-fold (95% CI, 1.075.94) increased risk for advanced breast cancer, suffered from all of the above-mentioned weaknesses, i.e., included racially mixed cases and controls, had relatively small study size, and lacked information on the menopausal status of the subjects. The two other positive findings, on the other hand, were for specific subgroups, i.e., for young (<37 years) females (10) , and male breast cancer (11) . The evidence for CYP17 genotype contributing in the overall breast cancer risk is thus relatively weak, further suggesting a minor role for this gene in the etiology of breast cancer.
To conclude, our findings suggest that CYP17 polymorphism has no major effect in overall breast cancer proneness, but may modify the risk of breast cancer for certain subgroups.
| Acknowledgments |
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| Footnotes |
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1 The work was supported by the Academy of
Finland, the Finnish Konkordia Foundation, and EVO funds from
Kuopio University Hospital. ![]()
2 To whom requests for reprints should be
addressed, at Molecular Epidemiology Group, Department of Industrial
Hygiene and Toxicology, Finnish Institute of Occupational Health,
Topeliuksenkatu 41 a A, FIN-00250 Helsinki, Finland. Phone:
358-9-4747-2204; Fax: 358-9-4747-2110; E-mail: Ari.Hirvonen{at}occuphealth.fi ![]()
3 The abbreviations used are: OR, odds ratio; CI,
confidence interval; WHR, waist:hip ratio; BMI, body mass index; FFTP,
first full-term pregnancy. ![]()
Received 5/ 3/00; revised 9/14/00; accepted 9/22/00.
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