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Cancer Epidemiology, Biomarkers & Prevention
Cancer Epidemiology, Biomarkers & Prevention
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Research Articles

Steroid Metabolism Gene CYP17 Polymorphism and the Development of Breast Cancer

Katja Mitrunen, Nadejda Jourenkova, Vesa Kataja, Matti Eskelinen, Veli-Matti Kosma, Simone Benhamou, Harri Vainio, Matti Uusitupa and Ari Hirvonen
Katja Mitrunen
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Nadejda Jourenkova
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Vesa Kataja
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Matti Eskelinen
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Veli-Matti Kosma
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Simone Benhamou
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Harri Vainio
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Matti Uusitupa
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Ari Hirvonen
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DOI:  Published December 2000
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Abstract

The potential role of the polymorphism in the CYP17 gene was evaluated in a case-control study with 483 incident breast cancer patients and 482 population controls, all of homogenous Finnish origin. Our data disagree with the earlier suggestions that the minor A2 variant of CYP17 would pose an increased risk for developing advanced breast cancer. In contrast, a tendency of inverse association was found for premenopausal women carrying the A2 allele containing genotypes with a multivariate adjusted odds ratio of 0.58 approaching statistical significance (95% CI, 0.31–1.07). Agreeing with previous observations, the protective effect of later age at menarche (≥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, 0.15–0.76). Similarly, we found a remarkably lower risk for premenopausal women with at least one child (odds ratio, 0.22; 95% CI, 0.07–0.62) 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

Endogenous exposure to circulating steroid hormones appears to be closely related to the development and progression of breast cancer (1) . Several factors affecting exposure to endogenous and exogenous sex hormones may modify individual susceptibility to this neoplasm. In agreement with this, early menarche, late menopause, postmenopausal obesity, alcohol consumption, and the use of estrogen replacement therapy have been shown to increase the risk of developing breast cancer, whereas early FFTP,3 lactation, and physical activity seem to protect from it (1) . Recent interest has been focused on polymorphisms in genes that control the metabolism or intracellular transport of sex hormones (2) .

The CYP17 gene codes for the cytochrome P450c17α 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, 0.31–0.86; 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, 1.07–5.94) 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, 0.22–0.98). This observation was recently supported in another study where the respective OR was 0.57 (95% CI, 0.36–0.90; Ref. 8 ). Recently Bergman-Jungestrom et al. (10) reported a significantly increased risk (OR, 2.0; 95% CI, 1.1–3.5) 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, 1.04–4.27) 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

Study Population.

This case-control study is an extension of Kuopio Breast Cancer Study that follows the protocol of the International Collaborative Study of Breast and Colorectal Cancer coordinated by the European Institute of Oncology in Milan. All women with a suspicious breast lump or breast symptoms and living in the study area were invited to Kuopio University Hospital from 1990 to 1995. They were asked to participate in the study at the first hospital examination before either the patient or the interviewer knew the diagnosis. Body-size indicators (height, weight, waist and hip circumference) were recorded at the time of the interview (18) . Of the women who agreed to participate in the study, 516 were finally diagnosed with breast cancer, as were 12 of the women who had refused to participate. The participation rate of the cases was thus 98%. Lymphocyte DNA was available for 486 of the patients who had agreed to participate in the study.

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, 13–14, ≥15 years), age at FFTP (nulliparous, <25, 25–30,> 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

Because the controls were younger, at 53.5 years (SD, 10.9 years), than the cases at 59.0 years (SD, 14.3 years; P < 0.001), the proportion of premenopausal women was higher among population controls (42%) compared with breast cancer patients (34%). The mean age at menarche [13.6 years (SD, 1.5 years for controls), 13.8 years (SD, 1.6 years) for cases] and age at first term pregnancy[ 24.6 years (SD, 4.1 years) for controls, 24.9 years (SD, 4.6 years) for cases] was similar in both groups. First-degree family history of breast cancer was associated with an increased risk of this malignancy (OR, 2.53; 95% CI, 1.48–4.31; Table 1⇓ ). Much weaker, but yet significant, associations were observed for the history of benign breast disease (OR, 1.33; 95% CI, 1.01–1.75) and WHRs over 0.91 (OR, 1.38; 95% CI, 1.06–1.81). A significantly decreased risk, on the other hand, was observed for women who reportedly had ever used oral contraceptives (OR, 0.66; 95% CI, 0.48–0.91), and for women with at least one child (OR, 0.53; 95% CI, 0.37–0.77).

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Table 1

Selected characteristics of the study subjects

The genotype frequencies in control population were in agreement with those predicted under Hardy-Weinberg equilibrium (P = 0.976). The distribution of CYP17 genotypes and the ORs associated with breast cancer are shown in Table 2⇓ . The A2 allele did not significantly affect the breast cancer risk, either when all women were considered together or after stratification by menopausal status. Fifty-eight percent of controls and 59% of cases were carriers of at least one A2 allele. When stratified by menopausal status, the frequency of subjects with the A2 allele-containing genotypes appeared higher among both postmenopausal controls (60%) and cases (61%) compared with the respective frequencies (57% and 53%) in the premenopausal subjects, the latter difference approaching statistical significance (P = 0.069). Therefore all additional analyses were performed separately for pre- and postmenopausal women.

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Table 2

Associations between CYP17 genotype and breast cancer according to menopausal status at diagnosis of the case patient

When case patients were considered by the tumor stage, premenopausal patients having advanced disease were less frequently carriers of the A2 allele containing genotypes (48%) compared with controls (56%; Table 3⇓ ). There was a clear tendency of lower risk of this breast cancer type in carriers of A2 allele with a multivariate adjusted OR of 0.58 approaching statistical significance (95% CI, 0.31–1.07). In contrast, in postmenopausal cases no such tendency was observed (OR, 0.99; 95% CI, 0.57–1.69). The CYP17 genotypes were similarly distributed among pre- and postmenopausal cases and among controls with a diagnosis of local cancer (no nodes involved). Furthermore, no significant associations were observed after stratifying by estrogen- or progesterone-receptor status (data not shown), although postmenopausal progesterone receptor-positive patients were more likely to carry at least one A2 allele (69%) compared with receptor negative patients (56%; P = 0.027). A similar tendency was seen between postmenopausal estrogen receptor-positive (66%) and -negative patients (52%; P = 0.077).

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Table 3

Number of breast cancer cases and controls, and ORsa associated with CYP17 polymorphism by menopausal status and tumor stage

Association between potential hormone-related breast cancer risk factors and the CYP17 genotype was assessed by stratified analysis (Table 4)⇓ . The protective effect of late age at menarche (≥13 years) was more pronounced among premenopausal women with A1/A1 genotype (OR, 0.34; 95% CI, 0.15–0.76; P for interaction = 0.10). This effect could not be seen when pre- and postmenopausal women were considered together (OR, 1.25; 95% CI, 0.74–2.09). An especially low risk (OR, 0.22; 95% CI, 0.07–0.62) 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, 0.98–2.94) 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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Table 4

Association between CYP17 genotypes and breast cancer risk stratified by selected characteristics

Discussion

In agreement with the majority of the previous studies on CYP17 polymorphism and breast cancer risk, this study did not reveal any significant association between the CYP17 A2 allele and overall risk of breast cancer in Finnish population. However, agreeing with the findings of Feigelson et al. (9) and Haiman et al. (8) , we found the protective effect of later age at menarche to be mainly attributable to women with the A1/A1 genotype. Weston et al. (16) also reported a similar trend, although it failed to reach statistical significance. In our study population, the effect was seen only among premenopausal women, whereas in the above studies, the association was for the whole population. These findings are opposite to those of Helzlsouer et al. (13) , who observed a trend of decreasing risk with later age at menarche among women with the A2 allele. This association was, however, far from statistically significant, and the number of cases and controls was relatively small in their study. On the other hand, Dunning et al. (12) saw no difference in the risk associated with the age at menarche between different genotype groups.

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, 0.07–0.62). 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 20–44 years old (i.e., mostly premenopausal), whereas the cases were 27–91 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, 1.07–5.94) 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

We thank our colleagues at the Kuopio Cancer Research Center and A. K. Lyytinen, R.N., for data collection.

Footnotes

  • The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

  • ↵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 May 3, 2000.
  • Revision received September 14, 2000.
  • Accepted September 22, 2000.

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Steroid Metabolism Gene CYP17 Polymorphism and the Development of Breast Cancer
Katja Mitrunen, Nadejda Jourenkova, Vesa Kataja, Matti Eskelinen, Veli-Matti Kosma, Simone Benhamou, Harri Vainio, Matti Uusitupa and Ari Hirvonen
Cancer Epidemiol Biomarkers Prev December 1 2000 (9) (12) 1343-1348;

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Steroid Metabolism Gene CYP17 Polymorphism and the Development of Breast Cancer
Katja Mitrunen, Nadejda Jourenkova, Vesa Kataja, Matti Eskelinen, Veli-Matti Kosma, Simone Benhamou, Harri Vainio, Matti Uusitupa and Ari Hirvonen
Cancer Epidemiol Biomarkers Prev December 1 2000 (9) (12) 1343-1348;
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Cancer Epidemiology, Biomarkers & Prevention
eISSN: 1538-7755
ISSN: 1055-9965

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