Skip to main content


Cytochrome P450 1B1 Val432Leu polymorphism and breast cancer risk in Nigerian women: a case control study



Cytochrome P450 1B1 (CYP1B1) is active in the metabolism of estrogens to reactive catechols and of different procarcinogens. Several studies have investigated the relationship between genetic polymorphisms of CYP1B1 and breast cancer risk with inconsistent results. A G → C transversion polymorphism in the heme-binding region in codon 432 of the gene results in amino acid change (Val → Leu); the Leu allele display increased catalytic efficiency for 4-hydroxylation of estradiol in some experimental systems.


In this study, we utilized a polymerase chain reaction (PCR)-based restriction fragment length polymorphism (RFLP) assay to assess the relationship between this polymorphism and breast cancer risk in a case control study including 250 women with breast cancer and 250 controls from four University Teaching Hospitals in Southern Nigeria.


Heterozygosity for the CYP1B1 M1 genotype (CYP1B1 M1 [Val/Leu]) was associated with a significant 59% increased risk of breast cancer (OR = 1.59, 95% CI 1.01–2.58) while homozygosity for the genotype (CYP1B1 M1 [Leu/Leu]) conferred a non-significant 51% increased risk of breast cancer. These risk profiles were modified in subgroup analysis. In premenopausal women, harboring at least one CYP1B1 (Leu) allele conferred a significant two-fold increased risk of breast cancer (OR = 2.04, 95% CI 1.10–3.78). No significant association was observed in postmenopausal women (OR = 1.08, 95% CI 0.57–2.04).


Our results suggest that the codon 432 polymorphism of the CYP1B1 gene is associated with increased risk of breast cancer and is particularly involved in breast cancer risk in premenopausal women of African descent.


Breast cancer has unique racial/ethnic variations in incidence and burden. While the incidence is rising globally, the increase is occurring faster in population groups that hitherto enjoyed low incidence. Reasons for the racial/ethnic variation in breast cancer incidence are unclear; however, differences in the distribution of polymorphisms in key candidate genes involved in estrogen/xenobiotic metabolism might contribute to variation in breast cancer susceptibility in different populations. The CYP1B1 gene is located on chromosome 2p21-p22 and contains three exons [13]. The entire coding sequence of the gene, however, is contained in exons 2 and 3 [13]; exon 3 encodes the heme-binding region of the enzyme [4]. CYP1B1 might be involved in hormonal carcinogenesis through its ability to catalyze the metabolism of estradiol to 2-hydroxyestradiol and 4-hydroxyestradiol [5]. The former metabolite is mainly produced in the liver whereas significant amount of 4-hydroxyestradiol are formed in extrahepatic tissues. Whereas 2-hydroxyestradiol has little or no carcinogenic activity, 4-hydroxyestradiol and estrogen have been shown to be potent carcinogens in animal models [6] and humans [7, 8]. In-situ conjugation of this metabolite by phase II enzymes is relatively low in extrahepatic tissues, thus leading to its accumulation. The carcinogenic activity of 4-hydroxyestradiol could be due to its hormonal activity, which in some biological assays has been shown to be even higher than the parent hormone. In addition, 4-hydroxyestradiol can undergo redox cycling [7] which results in the formation of free radicals such as superoxide and in the generation of reactive semiquinone/quinone intermediates that have been shown to damage biological target molecules such as DNA [8].

Six polymorphisms of the CYP1B1 gene have been described in the Caucasian populations, of which four results in amino acid substitutions [3, 4]. Two of these amino acid substitutions are located in exon 3, which encodes the heme-binding domain: codon 432 Val → Leu and 453 Asn → Ser [4] while two other amino acid substitutions are found in codons 48 Arg → Gly and 119 Ala → Ser in exon 2 [3]. The codon 432 Val → Leu polymorphism creates and Eco57I site. Several molecular epidemiological studies have evaluated the association of polymorphisms in CYP1B1 gene and breast cancer risk in various populations, including seven in Caucasian [4, 914] and four in Asian populations [1518]. There is scanty data on the role of polymorphisms in this gene in breast cancer susceptibility in populations of African descent. Only one of the US studies recruited a small sample of African-American women; there are no studies on sub-Saharan African populations. Although, several polymorphisms have been described in the CYP1B1 gene, we have chosen in this exploratory study to evaluate the role of the CYP1B1 Val432Leu polymorphism in breast cancer susceptibility in Nigerian women since there is experimental evidence suggesting that the variant CYP1B1 432Leu allele exceeded the wild-type CYP1B1 432Val allele with respect to estrogen hydroxylation activities. Given the carcinogenic and estrogenic potential of 4-OH-E2, it is plausible to speculate that inheritance of the CYP1B1 432Leu allele may contribute to increased breast cancer risk associated with estrogen-mediated carcinogenesis.

Materials and methods


Study participants were recruited between September 2002 and April 2004 in four University Teaching Hospitals in Southern Nigeria including University of Benin Teaching Hospital, Benin City; Nnamdi Azikiwe University Teaching Hospital, Nnewi; University of Nigeria Teaching Hospital, Enugu; and University of Port Harcourt Teaching Hospital, Port Harcourt. The Institutional Review Board of University of Pittsburgh and the Ethics and Research Committees of the Nigerian institutions approved the study prior to commencement. A total of 500 study participants comprising 250 women with incident and prevalent breast cancer and 250 age- and institution-matched controls were recruited for the study. Women with confirmed breast cancer were recruited during surgical out-patient clinic visits or in-patient admissions while control subjects with non-malignant surgical diseases such as road traffic accident and other injuries (n = 168), intestinal obstructions (n = 49), appendicitis/pelvic inflammatory disease (26), urolithiasis and urinary tract infections (n = 5) and cholelithiasis (n = 2) were recruited from the same hospitals. Exclusion criteria include non-confirmation of diagnosis of breast cancer, a diagnosis of other malignant diseases, and refusal of donation of blood samples.

Prior to recruitment, participants signed informed consent after detailed explanation of key points of the study including study objectives, risks and benefits, confidentiality and the rights of participants. Interviewer-administered questionnaires were used for data collection; questions were designed to gather demographic history including age, sex, religion, occupation, exposure to chemical fertilizers and pesticides, and rearing of domestic animals. In addition, obstetric and gynecological history including age at menarche, age at first full-term pregnancy, parity, breastfeeding, age at menopause (for postmenopausal subjects), history of use of hormonal contraceptives and hormone replacement therapy and surgical oophorectomy was obtained. Information about lifestyle habits such as cigarette smoking and alcohol consumption was also obtained from study participants. Anthropometric measurements including height, weight, waist and hip circumferences were taken at the end of the interview.

Sample donation and preparation

Blood samples were collected at the end of the interview; details are reported elsewhere [19, 20]; 10 ml of whole blood was collected in one 10 ml K3-EDTA vacutainer tube from each of the study participants and stored in ice packs until it was centrifuged within 10 h of collection and buffy coats collected and stored in 3 ml tubes. All the samples were stored at -20°C in the various study sites in Nigeria and later transferred to the Nigerian coordinating center at the University of Benin Teaching Hospital in Polar Pack -20 C ice packs for frozen shipments and later shipped to University of Pittsburgh in dry ice using express services. Samples were stored at -80°C at the University of Pittsburgh until DNA extraction.

DNA extraction was carried out using QIAamp DNA Mini Kits (for buffy coats) and QIAamp DNA Midi Kits (for blood clots) protocols (QIAGEN Inc. Valencia, CA). The extracted DNA was stored at 4°C until used for PCR and RFLP analysis.

PCR and RFLP analysis

Genomic DNA from the cases and control subjects were analyzed for the presence of the G to C transversion mutation at codon 432 of the CYP1B1 gene by a PCR-based Restriction Fragment Length Polymorphism (RFLP) assay. PCR amplification of a 650 bp fragment of the CYP1B1 gene, including part of exon 3 that contains the polymorphism was carried out using forward primer: TCACTTGCTTTTCTCTCTCC and reverse primer: AATTTCAGCTTGCCTCCTG. A 50 μl PCR reaction mixture containing 2 μl of genomic DNA, 5 μl of deoxynucleotide triphosphates, 5 μl each of forward and reverse primers, 5 μl of 10× buffer, 1.5 μl of MgCl2 and 0.5 μl of Taq polymerase was placed in a thermalcycler. After denaturing for 10 min at 95°C, the DNA was amplified for 35 cycles at 95°C for 60 s, 58°C for 60 s, and 72°C for 60 s, followed by a 7 min extension at 72°C. A positive control containing genomic DNA and a negative control containing everything except DNA were included in the PCR experiment. Five μl of each PCR product, including the controls, were verified on a 2% agarose gel to ensure that the expected 650 bp product was generated.

Restriction digest for the DNA fragment was carried out using Eco57I restriction enzyme. Fifteen μl of the PCR product was digested for 16 h overnight at 37°C with 1 unit of Eco57I (New England Biolabs). The product of the restriction digest was mixed with 10 μl of loading dye and verified on a 3% agarose gel (with Ethidium bromide) electrophoresis in a 1× Tris-Borate-EDTA buffer at 200 V for 60 min. The presence of a G at position 1294 (CYP1B1-codon 432) generated a unique 650 bp fragment, while the 650 bp fragment was divided into unique 340 bp and 310 bp fragments when position 1294 contains a C. The gels were visualized by UV light and the RFLP gel electrophoresis products were read by two independent persons who were unaware of the identities of samples as either cases or controls.

RFLP assays employing Eco57I restriction enzyme were successful in 228 cases and 226 controls, therefore the analysis is restricted to this sample of women.

Statistical analysis

Statistical analysis was carried out using the Statistical Analysis System (SAS) software (Version 8.0). Conditional logistic regression was used to assess the association between the CYP1B1 genotypes and breast cancer risk in the whole sample. Stratified analyses according to menopausal status were carried out. Relevant risk factors that were identified as significant predictors of breast cancer risk were controlled for in the multivariate logistic regression models.


Demographic characteristics

Five hundred participants comprising 250 women with breast cancer and 250 age- and institution-matched controls were recruited from four University Teaching Hospitals in Midwestern and Southeastern Nigeria. However, this report is based on data on 228 cases and 226 control subjects in whom RFLP polymorphism assays on CYP1B1 gene were successful. Mean age of cases and control subjects were similar (46.3 ± 11.72 years and 47.3 ± 12.14 years respectively). Using univariate logistic regression models, the following variables including family history of breast cancer, education, ever married, age at fullterm pregnancy (FFTP), parity, duration of breastfeeding, abortion, use of hormone contraceptives, waist/hip ratio, and body mass index (BMI) were found to be significant predictors of breast cancer risk. However, only three variables including Family history of breast cancer (OR = 11.17, 95% CI 1.37–91.33), age at first fullterm pregnancy greater than 20 years (OR = 1.32, 95% CI 1.17–3.41) and waist/hip ratio (OR = 1.90, 95% CI 1.18–3.04) were significant predictors of breast cancer risk in the final multiple logistic regression model as shown in Table 1. More details on distribution of anthropometric and reproductive variables and their association with breast cancer are reported elsewhere [21, 22].

Table 1 Multiple conditional logistic regression comparing cases and controls. Significant demographic predictors of breast cancer risk [Numbers (Percentages (%)], odds ratio (OR), 95% confidence interval (95% CI)

Allele and genotype frequencies

All women

The CYP1B1 (Val) allele was less frequent in cases (0.86) compared to control subjects (0.89). The distribution of the CYP1B1 genotype is shown in Table 2. The genotype frequencies of the CYP1B1 (Val/Val), CYP1B1 (Val/Leu) and CYP1B1 (Leu/Leu) in the cases were 0.73, 0.25, and 0.02, respectively while the corresponding frequencies in the control subjects were 0.81, 0.17, and 0.02, respectively. The distribution of CYP1B1 (Val/Leu) alleles in the control subjects was in Hardy-Weinberg equilibrium, overall and in both premenopausal and postmenopausal women.

Table 2 Distribution of Cytochrome P4501B1 alleles and genotypes in relation to breast cancer risk

Premenopausal women

Among 142 premenopausal breast cancer cases and 142 premenopausal control women, the RFLP polymorphism assays were successful in 125 cases and 129 controls. The CYP1B1 (Val) allele was less frequent among premenopausal cases (0.85) compared to the control subjects (0.92). As shown in Table 2, the CYP1B1 (Val/Leu) and CYP1B1 (Leu/Leu) genotypes were more common in cases compared with the control subjects.

Postmenopausal women

Of the 108 postmenopausal breast cancer cases and 108 postmenopausal control subjects, the PCR-based RFLP assays were successful in 103 cases and 97 control subjects. The distribution of the CYP1B1 (Val) and CYP1B1 (Leu) alleles in postmenopausal breast cancer cases and controls were similar. There were slight differences in the frequency of the CYP1B1 (Val/Val), CYP1B1 (Val/Leu) and CYP1B1 (Leu/Leu) genotypes among cases and control subjects, as shown in Table 2. All the three homozygous variants were control subjects.

CYP1B1 genotypes and breast cancer risk

All women

As shown in Table 2, cases were more likely to harbor the Leu allele than the controls. The heterozygous CYP1B1 (Val/Leu) genotype was associated with a significant increased risk of breast cancer (Odds ratio [OR] = 1.59, 95% Confidence Interval [CI] 1.01–2.52), compared with the homozygous wild type CYP1B1 (Val/Val) genotype. There were very few study subjects with the homozygous variant CYP1B1 (Leu/Leu), four among the cases and five among the control subjects; this genotype was not associated with breast cancer (OR = 0.87, 95% CI 0.23–3.30).

Adjustment for waist/hip ratio (WHR) slightly attenuated the risk associated with the CYP1B1 1B1 (Val/Leu) genotype in all women (OR = 1.57, 95% CI 0.99–2.51). The risk associated with the CYP1B1 (Leu/Leu) (OR = 0.94, 95% CI 0.24–3.64) and the combined CYP1B1 (Val/Leu) and CYP1B1 (Leu/Leu) genotypes (OR = 1.51, 95% CI 0.96–2.36) remained essentially unchanged.

Premenopausal women

The heterozygous CYP1B1 (Val/Leu) genotype was associated with a significantly increased risk of premenopausal breast cancer (OR = 2.00, 95% 1.05–3.81; the risk associated with the homozygous genotype (Leu/Leu) did not reach significance (OR = 2.40, 95% CI 0.43–13.38). The risk of premenopausal breast cancer with the heterozygous CYP1B1 (Val/Leu) and homozygous CYP1B1 (Leu/Leu) genotypes combined was 2.04 (95% CI 1.10–3.78) (Table 2). The risk of premenopausal breast cancer associated with the CYP1B1 genotypes remained essentially unchanged when WHR was included in the model.

Postmenopausal women

There was no association between the CYP1B1 polymorphism and breast cancer in post menopausal women. Harboring at least one CYP1B1 (Leu) allele was not associated with risk of breast cancer in postmenopausal women (OR = 1.08, 95% CI 0.57–2.04). Controlling for WHR did not significantly alter the risk profiles (Table 2).


Breast cancer is a disease with unique phenotypic manifestations in different racial/population groups. It has been hypothesized that these population-specific characteristics of breast cancer may be partly due to differences in genetic susceptibility to the disease arising from variation in the frequency of different polymorphic alleles of key candidate genes involved in estrogen and xenobiotic metabolism in different populations. Our study was designed to evaluate the hypothesis that the CYP1B1 Val432Leu polymorphisms in the CYP1B1 gene, a key candidate gene involved in phase I hydroxylation of estrogens (17β-estradiol and estrone) to 4-hydroxy catechols might contribute to breast cancer risk in Nigerian women.

Comparison of our data with reports from other populations indicates wide variation in the distribution of the CYP1B1 codon 432 Val → Leu polymorphism across different populations groups. The frequency of the CYP1B1 (Val) allele among control subjects in our study (0.89) is closer to the frequency in African-Americans (0.70) [4] but much higher than the figures reported in Caucasians (0.42) [9], Asians in China (0.46) [18], Japan (0.15) [17], and Korea (0.11) [16].

Our results suggest that harboring one CYP1B1 (Leu) allele was significantly associated with breast cancer (OR = 1.59, 95% CI 1.01–2.52). Subgroup analysis based on menopausal status showed that the risk conferred by this polymorphism was essentially restricted to premenopausal women in whom the combination of CYP1B1 (Val/Leu) and CYP1B1 (Leu/Leu) genotypes was associated with over 2-fold increased risk of breast cancer (OR = 2.04, 95% CI 1.10–3.78). This association was not confirmed in postmenopausal women. The associations were not significantly modified by the adjustment of the data for waist/hip ratio (a surrogate measure of etiologically relevant obesity) in either premenopausal or postmenopausal women, despite the finding of preferential 4-hydroxylation of estrogens in obese women on high fat diet [23].

Several other investigators have evaluated the relationship between CYP1B1 polymorphisms and breast cancer in different populations. There appear to be no significant overall association between the CYP1B1 Val/Leu variant and breast cancer risk in Caucasian populations in a recent meta-analysis [24]. However, a pooled analysis suggests a possible association of both the Val/Leu and Val/Val genotypes with breast cancer in Caucasians but no significant effect was observed in Asians or African-American subjects [24]. Among the seven studies in Caucasians, three reported no association between the CYP1B1 Val432Leu polymorphism and breast cancer risk [4, 10, 14], while three reported a risk effect for the valine allele [9, 11, 13]; one study reported an inverse association between the valine allele and breast cancer [12]. Statistical significance for the association between breast cancer and the CYP1B1 Val/Val polymorphism was reached in two studies [11, 13]. In one of these studies, Listgarten et al. [11] found that harboring the heterozygous Val/Leu genotype was associated with a 2.15-fold increased risk of breast cancer (95% CI 1.31–3.52) while the homozygous mutant (Leu/Leu) conferred a 3.30-fold increased risk (95% CI 1.76–6.19). In the second study of 84 cases and 103 controls among the Turkish population, Kobacas et al. [13] reported an overall association between carriers of at least one Val allele and breast cancer risk among women with body mass index (BMI) > 24 kg/m2 (OR = 2.81, 95% CI 1.38–3.74). Although Bailey et al. [4] failed to demonstrate a significant association between the CYP1B1 Val432Leu polymorphism and breast cancer risk, they noted that Caucasian patients with the Val/Val genotype had a significantly higher percentage of breast cancer that were positive for estrogen receptors (ERs) or progesterone receptors (PRs), suggesting that this polymorphism may be functionally important for the expression of these steroid receptors.

A small hospital-based case-control study involving 59 African-American women found no statistically significant association between the CYP1B1 Val432Leu polymorphism and breast cancer risk [4]. Of three studies in mixed U.S. populations [2527], one [26] reported no significant association, while two [25, 27] reported an inverse association between the Val/Val genotype and breast cancer (OR = 0.4, 95% CI 0.1–1.0 and OR = 0.7, 95% CI 0.6–0.9, respectively) and for the Val/Val and Val/Leu genotypes combined (OR = 0.4, 95% CI 0.1–1.0 and OR = 0.8, 95% CI 0.7–0.9, respectively). Meta-analysis of these studies in African-American and mixed populations showed no overall significant risk associated with the CYP1B1 Val432Leu polymorphism in breast cancer susceptibility in these populations [24].

Meta-analysis of studies on the association between CYP1B1 Val432Leu polymorphism and breast cancer risk failed to demonstrate an overall significant association in Asian women [24]. Of the four available studies, three [15, 16, 26] found no significant association. Only one study in the Chinese population [18] reported that, compared with those with the Val/Val genotype, women with the Leu/Leu genotype had a 2.3-fold (95% CI 1.2–4.5) elevated risk of breast cancer after adjusting for confounding variables, the positive association between the Leu/Leu genotype and breast cancer was more pronounced in postmenopausal women (OR = 3.1, 95% CI 1.0–9.1) than in premenopausal women (OR = 1.9, 95% CI 0.8–4.3).

The differences in breast cancer risk associated with the CYP1B1 Val432Leu polymorphism in different populations may be due to several reasons including differences in frequency of Val and Leu alleles in different populations, the relatively small sample size of some studies [4, 11, 13, 25, 26], as well as differences in study designs.

The mechanisms through which polymorphisms in CYP1B1 might influence breast cancer risk are not completely known. CYP1B1 is expressed constitutively in extrahepatic tissues including lung and mammary tissue [28]. Although other cytochrome P450 enzymes, such as CYP1A2 and CYP3A4, are involved in hepatic and extrahepatic estrogen hydroxylation, CYP1A1 and CYP1B1 display the highest levels of expression in breast tissue [28]; CYP1B1 exceeds CYP1A1 in its catalytic efficiency as an estradiol (E2) hydroxylase, and differs from CYP1A1 in its main site of catalysis [5, 29, 30]. CYP1B1 has its primary activity at the C-4 position of estradiol (E2), whereas CYP1A1 has its primary activity at the C-2 position. These two metabolites differ greatly in their carcinogenicity. Treatment with 4-OH-E2, but not 2-OH-E2, induced renal cancer in Syrian hamster [7, 31]. Analysis of renal DNA demonstrated that 4-OH-E2 significantly increased 8-hydroxydeoxyguanosine levels, whereas 2-OH-E2 did not cause oxidative DNA damage [32]. Similarly, 4-OH-E2 induced DNA single-strand breaks whereas 2-OH-E2 had a negligible effect [33]. Comparison of the corresponding catechol estrogen quinones showed that E2-3,4-quinone produced two to three orders of magnitude higher levels of depurinating adducts than E2-2,3-quinone. Significantly higher 4-OH-E2/2-OH-E2 ratios were observed in breast tumor tissue than in adjacent normal breast tissue [34]. These findings suggest a causative role of 4-OH catechol estrogens in carcinogenesis and implicate CYP1B1 as a key player in the process.

To the best of our knowledge, ours is the largest case-control study on CYP1B1 Val432Leu polymorphism and breast cancer risk conducted in African populations.

The epidemiologic literature on determinants of breast cancer in sub-Saharan African populations is scanty despite the evidence that breast cancer is already a public health problem in these developing countries [35, 36] and the burden of the disease is likely to increase as women in these populations adopt Western diets and sedentary lifestyles. The use of hospital controls instead of population-based controls might be a source of systematic bias; poor research infrastructure including the absence of a population-based cancer registry and lack of functional communication facilities limited our choice of recruitment for the control subjects. Recruitment of incident and prevalent cases of breast cancer may also be a source of systematic bias as women with rapidly progressive forms of breast cancer may have died early, leaving us with a subpopulation of less aggressive prevalent cases. This is particularly important given the report of an interaction between the CYP1B1 Val → Leu polymorphism and hormone receptor status noted in Caucasian women [4]. The observed preponderance of hormone receptor positive tumors in individuals harboring the Val/Val genotype would result in selective survival advantage of this genotype. However, such an interaction if present in our study population would result in underestimation of the breast cancer risk associated with the presence of the CYP1B1 (Leu) allele. The non-availability of facilities for hormone receptor assays during the recruitment of study participants in the Nigerian study sites limited our ability to actually evaluate the presence of such interaction if any.


This study has demonstrated a role for the CYP1B1 Val → Leu polymorphism in premenopausal breast cancer risk in Nigerian women. This polymorphism might be mediating its effect through increased metabolic conversion of estradiol, the main estrogen in premenopausal women, to 4-hydroxy estradiol and estrogen quinone and semiquinone intermediates. The results we report in this study need to be considered in conjunction with clinical and epidemiological information. In fact, breast cancer is predominantly a premenopausal disease in Nigerian women [37], with a disproportionately higher prevalence of hormone receptor negative breast cancer, estimated at about 76% [38]. These data, together with the observation of a higher proportion of the CYP1B1 (Val) allele among postmenopausal women with hormone receptor positive breast cancer [4], and of an association between Nigerian premenopausal breast cancer and the CYP1B1 (Leu) allele suggest that breast cancer in sub-Saharan African populations may have a different etiopathogenesis than in Caucasian or Asian populations. The understanding of differences in estrogen and xenobiotic metabolism resulting from polymorphic variants in key candidate genes, and their interaction with environmental exposure has the potential to considerably improve our ability to characterize individual risk of breast cancer and enhance our ability to design individual and population-specific control and preventive measures.


CYP1B1 :

Cytochrome P4501B1 gene


Deoxyribonucleic acid


Polymerase chain reaction


Single Nucleotide Polymorphism

CYP1A2 :

Cytochrome P4501A2 gene

CYP3A4 :

Cytochrome P4503A4 gene








Estrogen receptor


Progesterone receptor


Statistical Analysis Systems.


  1. 1.

    Sutter TR, Tang YM, Hayes CL, Wo YY, Jabs EW, Li X, Yin H, Cody CW, Greenlee WF: Complete cDNA sequence of a human dioxin-inducible mRNA identifies a new gene subfamily of cytochrome P450 that maps to chromosome 2. Journal Biol Chem. 1994, 269 (18): 13092-13099.

  2. 2.

    Tang YM, Wo YY, Stewart J, Hawkins AL, Griffin CA, Sutter TR, Greenlee WF: Isolation and characterization of the human cytochrome P450 CYP1B1 gene. J Biol Chem. 1996, 271 (45): 28324-28330. 10.1074/jbc.271.45.28341.

  3. 3.

    Stoilov I, Akarsu AN, Alozie I, Child A, Barsoum-Homsy M, Turacli ME, Or M, Lewis RA, Ozdemir N, Brice G: Sequence analysis and homology modeling suggest that primary congenital glaucoma on 2p21 results from mutations disrupting either the hinge region or the conserved core structures of cytochrome P4501B1. Am J Hum Genet. 1998, 62 (3): 573-584. 10.1086/301764.

  4. 4.

    Bailey LR, Roodi N, Dupont WD, Parl FF: Association of cytochrome P450 1B1 (CYP1B1) polymorphism with steroid receptor status in breast cancer. Cancer Res. 1998, 58 (22): 5038-5041.

  5. 5.

    Hayes CL, Spink DC, Spink BC, Cao JQ, Walker NJ, Sutter TR: 17 beta-estradiol hydroxylation catalyzed by human cytochrome P450 1B1. Proc Natl Acad Sci USA. 1996, 93 (18): 9776-9781. 10.1073/pnas.93.18.9776.

  6. 6.

    Zhu BT, Conney AH: Functional role of estrogen metabolism in target cells: review and perspectives. Carcinogenesis. 1998, 19 (1): 1-27. 10.1093/carcin/19.1.1.

  7. 7.

    Liehr JG, Fang WF, Sirbasku DA, Ari-Ulubelen A: Carcinogenicity of catechol estrogens in Syrian hamsters. J Steroid Biochem. 1986, 24 (1): 353-356. 10.1016/0022-4731(86)90080-4.

  8. 8.

    Cavalieri EL, Stack DE, Devanesan PD, Todorovic R, Dwivedy I, Higginbotham S, Johansson SL, Patil KD, Gross ML, Gooden JK: Molecular origin of cancer: catechol estrogen-3,4-quinones as endogenous tumor initiators. Proc Natl Acad Sci USA. 1997, 94 (20): 10937-10942. 10.1073/pnas.94.20.10937.

  9. 9.

    De Vivo I, Hankinson SE, Li L, Colditz GA, Hunter DJ: Association of CYP1B1 polymorphisms and breast cancer risk. Cancer Epidemiol Biomarkers Prev. 2002, 11 (5): 489-492.

  10. 10.

    Rylander-Rudqvist T, Wedren S, Granath F, Humphreys K, Ahlberg S, Weiderpass E, Oscarson M, Ingelman-Sundberg M, Persson I: Cytochrome P450 1B1 gene polymorphisms and postmenopausal breast cancer risk. Carcinogenesis. 2003, 24 (9): 1533-1539. 10.1093/carcin/bgg114.

  11. 11.

    Listgarten J, Damaraju S, Poulin B, Cook L, Dufour J, Driga A, Mackey J, Wishart D, Greiner R, Zanke B: Predictive models for breast cancer susceptibility from multiple single nucleotide polymorphisms. Clin Cancer Res. 2004, 10 (8): 2725-2737. 10.1158/1078-0432.CCR-1115-03.

  12. 12.

    Dunning AM, Dowsett M, Healey CS, Tee L, Luben RN, Folkerd E, Novik KL, Kelemen L, Ogata S, Pharoah PD: Polymorphisms associated with circulating sex hormone levels in postmenopausal women. J Natl Cancer Inst. 2004, 96 (12): 936-945.

  13. 13.

    Kocabas NA, Sardas S, Cholerton S, Daly AK, Karakaya AE: Cytochrome P450 CYP1B1 and catechol O-methyltransferase (COMT) genetic polymorphisms and breast cancer susceptibility in a Turkish population. Arch Toxicol. 2002, 76 (11): 643-649. 10.1007/s00204-002-0387-x.

  14. 14.

    Zimarina TC, Kristensen VN, Imianitov EN, Bershtein LM: [Polymorphisms of CYP1B1 and COMT in breast and endometrial cancer]. Molekuliarnaia biologiia. 2004, 38 (3): 386-393.

  15. 15.

    Wen W, Cai Q, Shu XO, Cheng JR, Parl F, Pierce L, Gao YT, Zheng W: Cytochrome P450 1B1 and catechol-O-methyltransferase genetic polymorphisms and breast cancer risk in Chinese women: results from the shanghai breast cancer study and a meta-analysis. Cancer Epidemiol Biomarkers Prev. 2005, 14 (2): 329-335. 10.1158/1055-9965.EPI-04-0392.

  16. 16.

    Lee KM, Abel J, Ko Y, Harth V, Park WY, Seo JS, Yoo KY, Choi JY, Shin A, Ahn SH: Genetic polymorphisms of cytochrome P450 19 and 1B1, alcohol use, and breast cancer risk in Korean women. Br J Cancer. 2003, 88 (5): 675-678. 10.1038/sj.bjc.6600761.

  17. 17.

    Watanabe J, Shimada T, Gillam EM, Ikuta T, Suemasu K, Higashi Y, Gotoh O, Kawajiri K: Association of CYP1B1 genetic polymorphism with incidence to breast and lung cancer. Pharmacogenetics. 2000, 10 (1): 25-33. 10.1097/00008571-200002000-00004.

  18. 18.

    Zheng W, Xie DW, Jin F, Cheng JR, Dai Q, Wen WQ, Shu XO, Gao YT: Genetic polymorphism of cytochrome P450-1B1 and risk of breast cancer. Cancer Epidemiol Biomarkers Prev. 2000, 9 (2): 147-150.

  19. 19.

    Okobia M, Bunker C, Zmuda J, Kammerer C, Vogel V, Uche E, Anyanwu S, Ezeome E, Ferrell R, Kuller L: Cytochrome P4501A1 genetic polymorphisms and breast cancer risk in Nigerian women. Breast Cancer Res Treat. 2005, 94 (3): 285-293. 10.1007/s10549-005-9022-x.

  20. 20.

    Okobia MN, Bunker CH, Zmuda JM, Ezeome ER, Anyanwu SN, Uche EE, Ojukwu J, Kuller LH, Ferrell RE: Simple tandem repeat (TTTA)n polymorphism in CYP19 (aromatase) gene and breast cancer risk in Nigerian women. J Carcinog. 2006, 5: 12-10.1186/1477-3163-5-12.

  21. 21.

    Okobia M, Bunker C, Zmuda J, Kammerer C, Vogel V, Uche E, Anyanwu S, Ezeome E, Ferrell R, Kuller L: Case-control study of risk factors for breast cancer in Nigerian women. Int J Cancer. 2006, 119 (9): 2179-2185. 10.1002/ijc.22102.

  22. 22.

    Okobia MN, Bunker CH, Zmuda JM, Osime U, Ezeome ER, Anyanwu SN, Uche EE, Ojukwu J, Kuller LH: Anthropometry and breast cancer risk in nigerian women. Breast J. 2006, 12 (5): 462-466. 10.1111/j.1075-122X.2006.00304.x.

  23. 23.

    Longcope C, Gorbach S, Goldin B, Woods M, Dwyer J, Morrill A, Warram J: The effect of a low fat diet on estrogen metabolism. J Clin Endocrinol Metab. 1987, 64 (6): 1246-1250.

  24. 24.

    Paracchini V, Raimondi S, Gram IT, Kang D, Kocabas NA, Kristensen VN, Li D, Parl FF, Rylander-Rudqvist T, Soucek P: Meta- and pooled analyses of the cytochrome P-450 1B1 Val432Leu polymorphism and breast cancer: a HuGE-GSEC review. Am J Epidemiol. 2007, 165 (2): 115-125. 10.1093/aje/kwj365.

  25. 25.

    Zhu J, Chang P, Bondy ML, Sahin AA, Singletary SE, Takahashi S, Shirai T, Li D: Detection of 2-amino-1-methyl-6-phenylimidazo[4,5-b]-pyridine-DNA adducts in normal breast tissues and risk of breast cancer. Cancer Epidemiol Biomarkers Prev. 2003, 12 (9): 830-837.

  26. 26.

    Thyagarajan B, Brott M, Mink P, Folsom AR, Anderson KE, Oetting WS, Gross M: CYP1B1 and CYP19 gene polymorphisms and breast cancer incidence: no association in the ARIC study. Cancer Lett. 2004, 207 (2): 183-189. 10.1016/j.canlet.2003.12.009.

  27. 27.

    Le Marchand L, Donlon T, Kolonel LN, Henderson BE, Wilkens LR: Estrogen metabolism-related genes and breast cancer risk: the multiethnic cohort study. Cancer Epidemiol Biomarkers Prev. 2005, 14 (8): 1998-2003. 10.1158/1055-9965.EPI-05-0076.

  28. 28.

    Shimada T, Hayes CL, Yamazaki H, Amin S, Hecht SS, Guengerich FP, Sutter TR: Activation of chemically diverse procarcinogens by human cytochrome P-450 1B1. Cancer Res. 1996, 56 (13): 2979-2984.

  29. 29.

    Spink DC, Eugster HP, Lincoln DW, Schuetz JD, Schuetz EG, Johnson JA, Kaminsky LS, Gierthy JF: 17 beta-estradiol hydroxylation catalyzed by human cytochrome P450 1A1: a comparison of the activities induced by 2,3,7,8-tetrachlorodibenzo-p-dioxin in MCF-7 cells with those from heterologous expression of the cDNA. Arch Biochem Biophys. 1992, 293 (2): 342-348. 10.1016/0003-9861(92)90404-K.

  30. 30.

    Spink DC, Hayes CL, Young NR, Christou M, Sutter TR, Jefcoate CR, Gierthy JF: The effects of 2,3,7,8-tetrachlorodibenzo-p-dioxin on estrogen metabolism in MCF-7 breast cancer cells: evidence for induction of a novel 17 beta-estradiol 4-hydroxylase. J Steroid Biochem Mol Biol. 1994, 51 (5–6): 251-258. 10.1016/0960-0760(94)90037-X.

  31. 31.

    Li JJ, Li SA: Estrogen carcinogenesis in Syrian hamster tissues: role of metabolism. Fed Proc. 1987, 46 (5): 1858-1863.

  32. 32.

    Han X, Liehr JG: Microsome-mediated 8-hydroxylation of guanine bases of DNA by steroid estrogens: correlation of DNA damage by free radicals with metabolic activation to quinones. Carcinogenesis. 1995, 16 (10): 2571-2574. 10.1093/carcin/16.10.2571.

  33. 33.

    Han X, Liehr JG: DNA single-strand breaks in kidneys of Syrian hamsters treated with steroidal estrogens: hormone-induced free radical damage preceding renal malignancy. Carcinogenesis. 1994, 15 (5): 997-1000. 10.1093/carcin/15.5.997.

  34. 34.

    Liehr JG, Ricci MJ: 4-Hydroxylation of estrogens as marker of human mammary tumors. Proc Natl Acad Sci USA. 1996, 93 (8): 3294-3296. 10.1073/pnas.93.8.3294.

  35. 35.

    Parkin DM, Bray F, Ferlay J, Pisani P: Global cancer statistics, 2002. CA Cancer J Clin. 2005, 55 (2): 74-108. 10.3322/canjclin.55.2.74.

  36. 36.

    Parkin DM, Bray F, Ferlay J, Pisani P: Estimating the world cancer burden: Globocan 2000. Int J Cancer. 2001, 94 (2): 153-156. 10.1002/ijc.1440.

  37. 37.

    Anyanwu SN: Breast cancer in eastern Nigeria: a ten year review. West Afr J Med. 2000, 19 (2): 120-125.

  38. 38.

    Ikpatt OF, Ndoma-Egba R: Oestrogen and progesterone receptors in Nigerian breast cancer: relationship to tumour histopathology and survival of patients. Cent Afr J Med. 2003, 49 (11–12): 122-126.

Download references


This study was supported by a post-doctoral grant awarded to Michael N. Okobia by the U.S. Army Medical and Materiel Command's Breast Cancer Research Program (Award Number: DAMD17-02-1-0551). We are grateful to the staff of the Departments of Surgery of the Nigerian Study Sites including University of Benin Teaching Hospital, Benin City; Nnamdi Azikiwe University Teaching Hospital, Nnewi; University of Nigeria Teaching Hospital, Enugu; and the University of Port Harcourt Teaching Hospital, Port Harcourt, for all their assistance during the recruitment of study participants. Special thanks to the staff of the Department of Epidemiology, University of Pittsburgh for their invaluable assistance throughout the conduct of this study.

This article has been published as part of Infectious Agents and Cancer. Volume 4 Supplement 1, 2009: Second Annual International African-Caribbean Cancer Consortium Conference. The full contents of the supplement are available online at

Author information

Correspondence to Michael N Okobia.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

MNO, CHB, ET, SJG, REF, LHK, participated in conceptualization, design of the study and preparation of manuscript; MNO, ERE, SNCA, JO and EEOU recruited study participants from Nigeria and organized the transfer of biological samples to the University of Pittsburgh; MNO, CHB, ET, SJG and JMZ carried out the genetic analysis and manuscript preparation.

Rights and permissions

Reprints and Permissions

About this article


  • Breast Cancer
  • Breast Cancer Risk
  • Breast Cancer Susceptibility
  • Premenopausal Breast Cancer
  • CYP1B1 Gene