Abstract
The MDM2 oncoprotein regulates the p53 pathway and, while functional polymorphisms of the MDM2 and p53 genes have been investigated for association with breast cancer risk, results are largely null or non-conclusive. We have earlier reported that the increased intake of soy isoflavones reduces risk of postmenopausal breast cancer, and experimental studies suggest that dietary isoflavones can down-regulate the expression of the MDM2 oncoprotein. In this study, we investigated the association between the MDM2 SNP309 and TP53 R72P polymorphisms and breast cancer risk using a case–control study of 403 cases and 662 controls nested among 35,303 women in The Singapore Chinese Health Study, a population-based, prospective cohort of middle-aged and elderly men and women who have been continuously followed since 1993. The G allele of the TP53 R72P polymorphism and T allele of the MDM2 SNP309 polymorphism were putative high-risk alleles and exhibited a combined gene–dose-dependent joint effect on breast cancer risk that was more clearly observed in postmenopausal women. Among postmenopausal women, the simultaneous presence of G allele in TP53 and T allele in MDM2 polymorphisms was associated with an odds ratio (OR) of 2.42 [95% confidence interval (CI) 1.06–5.50]. Furthermore, the protective effect of dietary soy isoflavones on postmenopausal breast cancer was mainly confined to women homozygous for the high activity MDM2 allele (GG genotype). In this genetic subgroup, women consuming levels of soy isoflavones above the median level exhibited risk that was half of those with below median intake (OR 0.52; 95% CI 0.28–0.99). Our findings support experimental data implicating combined effects of MDM2 protein and the p53-mediated pathway in breast carcinogenesis, and suggest that soy isoflavones may exert protective effect via down-regulation of the MDM2 protein.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Introduction
The activation of p53 protein upon cellular stress such as DNA damage and oncogene activation leads to induction of cell–cycle arrest and the activation of apoptotic cell death, and may account for the role of this tumor suppressor protein in preventing the accumulation of genomic alterations and tumor development [1]. Somatic inactivating mutations of the p53 gene are found in over 50% of all human tumors [2]. Hence, naturally occurring functional polymorphisms of the p53 gene have also been investigated for possible association with human susceptibility to cancer. The p53 gene has a single base change of G to C at exon 4 codon 72, known as the TP53 R72P polymorphism, which causes alteration of amino acid residue from arginine to proline [3]. Although both forms do not differ in their ability to bind to DNA in a sequence-specific manner, these two p53 variants differ in their abilities to bind components of the transcriptional machinery, to activate transcription, to induce apoptosis, and to repress the transformation of primary cells [4].
An important regulator of the p53 pathway is the MDM2 protein which is an E3 ubiquitin ligase that can inhibit p53 activity by promoting ubiquitination and degradation of p53 protein [5]. MDM2 binds to p53 and regulates its cellular localization, stability, and activity. Hence, the levels of the MDM2 protein in a cell or organism seem to have a large effect on the antitumorigenic activity of p53 [6]. In animal studies, overexpression of MDM2 leads to tumorigenesis in susceptible mice [7]; from human data, amplification of the MDM2 gene has been documented in several tumor types [8–10]. The MDM2 SNP309 polymorphism is a T to G change at nucleotide 309 in the first intron (rs2279744). Compared with the T allele, the G variant has been shown to have increased expression of MDM2, particularly in response to estrogens, and is associated with a decrease in the levels of p53 protein levels and an attenuation in p53-mediated transcription of genes [6, 11].
Despite abundant experimental data suggesting that the attenuation of the p53 stress response pathway by the MDM2 protein has significant effect on breast carcinogenesis, epidemiologic associations of the MDM2 SNP309, and TP53 R72P polymorphisms with breast cancer risk, either separately or in interaction, have been largely null or non-conclusive [12–14]. In a study that examined the interaction between these two genes in breast cancer risk among the US women in the Nurses Health Studies, none of the combined genotypes of these two gene polymorphisms reached statistical significance, and the direction of any possible interaction was inconsistent and uninterpretable [12].
In this study, we investigated the individual and combined effects of MDM2 SNP309 and TP53 R72P polymorphisms on breast cancer risk in a case–control study nested among female participants of the Singapore Chinese Health Study, a prospective cohort study of diet and cancer. Genistein, a dietary isoflavone, has been shown to down-regulate the expression of the MDM2 oncogene at both the transcriptional and translational level [15], and the inhibition of the MDM2 protein has in turn been associated with antitumor activities in a breast cancer model [16]. Earlier, we had reported that postmenopausal women with above median intake of soy had a statistically significant, 26% reduction in breast cancer risk compared with women with lower intake [17]. Thus, in this study, we also explored whether the beneficial effect of dietary soy on breast cancer is mediated through an MDM2/TP53 driven pathway.
Materials and methods
Study subjects
The study design and subject recruitment of the Singapore Chinese Health Study have been previously described [18]. In brief, 63,257 Chinese women and men, aged 45–74 years belonging to the Hokkien or Cantonese dialect group, were enrolled in the study between April 1993 and December 1998. At recruitment, information on lifestyle factors, usual diet, and reproductive history (for women only) was obtained through in-person interviews. The questionnaire also included semi-quantitative food frequency questionnaire (FFQ) assessing current intake patterns, which was subsequently validated against a series of 24-h-diet recalls among a subpopulation drawn randomly among the cohort participants [18]. Written informed consent was obtained from all the participants in the Singapore Chinese Health Study. This study was conducted under the ethical approval for the Singapore Chinese Health Study, and approved by the Institutional Review Boards at the National University of Singapore and the University of Minnesota.
Previously, we have measured concentrations of genistein, daidzein, and glycitein in the market samples of the seven common soyfoods in Singapore [19]. Total soy isoflavone intake for a given subject was computed based on the subject’s response to the semi-quantitative food frequency questionnaire, and the summation of genistein, daidzein, and glycitein contents of the soyfoods in the Singapore Food Composition Database [18, 20]. Earlier, in a random sample of cohort subjects, we have shown the presence of a statistically significant association between urinary levels of isoflavones and dietary soy intake estimated from the food frequency questionnaire [21].
Between April 1994 and December 1999, we attempted to collect blood and single-void urine specimens from a random 3% sample of study enrollees. Details of the biospecimen collection, processing, and storage procedures have been described previously [22]. If the subject refused to donate blood, then buccal cell samples were requested and collected, if the subject consented. Out of 1,059 female cohort participants contacted for biospecimen donation, blood (n = 514) or buccal cells (n = 164) were collected from 678 subjects, representing a participation rate of 64%. The control group for the present study comprised this subcohort of women free of a history of breast cancer as of December 31, 2007. There were 662 subjects who satisfied these criteria.
We identified incident breast cancer cases occurring within the Singapore Chinese Health Study cohort through the population-based cancer registry in Singapore. The nationwide cancer registry has been in place since 1968 and has been shown to be comprehensive in its recording of cancer cases [23]. As of December 31, 2007, there were 783 incidences of female breast cancer cases in this cohort; among them, 403 cases (51.5%) had also given us blood or buccal specimens for genotyping. Histological and staging information of these 403 breast cancer diagnoses were confirmed by manual review of the pathology reports and clinical charts. Compared with breast cancer patients who donated a blood or buccal sample, those who did not were less educated (37 versus 31% had no formal education). More Cantonese gave biospecimens (55.7%) compared with Hokkiens (44.3%). Those who donated biospecimens also were a few years younger at diagnosis compared to those who did not donate (mean, 61 versus 63 years).
Genotyping methods
The MDM2 SNP309 (rs2279744) and TP53 R72P (rs1042522) polymorphisms were genotyped using the fluorogenic 5′-nuclease assay (TaqMan Assay) [24]. The TaqMan assays were performed using a TaqMan 2X Universal PCR Master Mix (Applied Biosystems, Foster City, CA) according to manufacturer’s instructions. The oligonucleotide primers for amplification of the polymorphic region of MDM2 were GC148for (5′-TTCAGGGTAAAGGTCACGGG-3′) and GC148rev (5′-ACTACGCGCAGCGTTCACAC-3′) and for TP53 were GC155for (5′-TCCCCGGACGATATTGAACAA-3′) and GC155rev (5′-GGCCGCCGGTGTAGGA-3′). In addition, the fluorogenic oligonucleotide MGB probes used to detect each of the alleles for MDM2 were GC148F (5′-CGCCGCAGCGGCC-3′) labeled with 6-FAM to detect the G allele and GC148 V (5′- CGCCGAAGCGGCC -3′) labeled with VIC to detect the T allele (Applied Biosystems). The MGB probes for TP53 were GC155F (5′-TGCTCCCCGCGTGGC-3′) labeled with 6-FAM to detect the Arg (R) allele and GC155 V (5′-TGCTCCCCCCGTGGC-3′) labeled with VIC to detect the Pro (P) allele. PCR amplification using ~10 ng of genomic DNA was performed in a thermal cycler with an initial step of 95°C for 10 min followed by 50 cycles of 95°C for 25 s and Tm °C for 1 min (Tm = 66 for MDM2 and 60 for TP53). The fluorescence profile of each well was measured in an ABI 7900HT Sequence Detection System and the results analyzed with Sequence Detection Software (Applied Biosystems). Experimental samples were compared with 12 controls to identify the three genotypes at each locus. Any of the samples that were outside the parameters defined by the controls were identified as non-informative and were re-tested.
A total of 54 (5.1%) subjects had non-informative genotype for MDM2 SNP309 polymorphism, 38 (3.6%) had non-informative genotype for TP53 R72P polymorphisms and 12 subjects (1.1%) had non-informative genotypes for both genes. These subjects were excluded from the statistical analysis accordingly.
Statistical analysis
Data were analyzed by standard methods for unmatched case–control studies [25]. Unconditional logistic regression models were employed to examine the associations between MDM2 and TP53 genotypes, separately and in combination, and breast cancer risk. The associations were measured by odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) and P values. Age at recruitment, dialect group (Cantonese, Hokkien), level of education (none, primary, secondary school or higher), age at first livebirth (20 years or younger, 21–25 years, 26–30 years, 31 years or older, nulliparous), soy isoflavone intake (quartiles), and body mass index (<20 kg/m2, 20+ kg/m2) were covariates in all logistic regression models. The analyses involving women who were postmenopausal at recruitment also included age at menopause (<50 years, 50–54 years, and 55 years or older) as a covariate. The same methodology was used to examine if the soy-breast cancer association differed by MDM2 or TP53 genotypes [25]. All covariates described above were included in these logistic regression runs.
Statistical analysis was carried out using the SAS software Version 9.1 (SAS Institute, Cary, NC). All the reported P values were two-sided, and P < 0.05 was considered statistically significant.
Results
Among the subjects, 69.8% were postmenopausal at recruitment. The mean ages at biospecimen collection for cases and controls were 61.3 [standard deviation (SD) 8.0] and 58.8 (SD 8.3) years, respectively. Among all the women with breast cancer, the mean age at diagnosis was 61.5 years (SD 8.2 years). Among the women with breast cancer who were already postmenopausal at recruitment, the mean age at diagnosis was 64.7 years (standard deviation 7.4 years). Similar to our earlier results [22, 26], increasing age at menarche and increasing number of live births were associated with reduction in breast cancer risk. Likewise, nulliparity, late age at first live birth, family history of breast cancer, late age at menopause, and increased body mass index were all associated with increased breast cancer risk (Table 1).
Among the control subjects, the frequencies of the C and G alleles of the TP53 R72P polymorphism were 0.47 and 0.53, while the frequencies of the G and T alleles of the MDM2 SNP309 polymorphism were 0.53 and 0.47, respectively. All genotypic distributions were in Hardy–Weinberg equilibrium (P value = 0.9 for TP53 R72P and P = 0.6 for MDM SNP309). For the TP53 R72P polymorphism, women possessing at least one copy of the G allele (putative high-risk genotype) had an increase in breast cancer risk (OR 1.19; 95% CI 0.86–1.64) relative to the CC genotype. For the MDM2 SNP309 polymorphism, women with at least one copy of the T allele (putative high-risk genotype) showed a higher increase in breast cancer risk compared with those homozygous for the G allele (OR 1.20; 95% CI 0.90–1.62) (Table 2).
The relative risk for TP53 low-risk genotype jointly with MDM2 high-risk genotype is similar to that for TP53 high-risk genotype jointly with MDM2 low-risk genotype (Table 2). When these two genotypes were grouped (both are characterized by the presence of one high-risk genotype), the OR (95% CI) for breast cancer risk was 1.30 (0.70–2.40). The highest risk for breast cancer was observed in women possessing both TP53 and MDM2 high-risk genotypes (OR 1.60; 95% CI 0.88–2.92) (P for trend = 0.051). The association became stronger when the analysis was confined to postmenopausal women; those possessing both high-risk genotypes experienced a statistically significant, 2.42 times increased risk for breast cancer relative to women devoid of high-risk genotypes (95% CI 1.06–5.50). The association between the number of high risk genotypes and postmenopausal breast cancer risk was statistically significant (P for trend = 0.036) (Table 2).
Earlier, based on the entire cohort of women [17], we reported that postmenopausal women with above- versus below median intake of soy isoflavones experienced a statistically significant, reduced risk of breast cancer (relative risk: 0.74; 95% CI 0.61–0.90). In this nested case–control study within the cohort, we noted remarkably similar results (OR 0.74; 95% CI 0.54–1.01) (Table 3). We examined whether MDM2 genotype exerted an influence on the dietary soy isoflavone-postmenopausal breast cancer risk association. We noted that the strong protective effect of dietary soy isoflavones on postmenopausal breast cancer was mainly confined to women possessing the GG genotype that was associated with increased MDM2 protein expression (Table 3). There was no evidence that TP53 genotype exerted any influence on the dietary soy isoflavone-postmenopasual breast cancer association (Table 3).
Discussion
The present study demonstrated that MDM2 SNP309 and TP53 R72P polymorphisms jointly exhibited a gene–dose-dependent association with breast cancer, in particular postmenopausal breast cancer. The highest risk was observed in women possessing both the G allele (functionality still controversial for breast cancer) of the TP53 gene and the low-activity T allele of the MDM2 gene. Furthermore, we showed that the protective effect of dietary soy isoflavones on postmenopausal breast cancer was mainly confined to women possessing the high-activity GG genotype of the MDM2 gene.
The three major outcomes of the p53 stress response are cell–cycle arrest, cellular senescence, and apoptosis. The arginine variant coded by the G allele is a stronger and faster inducer of apoptosis, and more efficient in suppressing oncogene-induced transformation than the proline variant coded by the C allele [4, 27]. In contrast, the proline variant is a stronger inducer of transcription and more efficient in inducing cell-cycle arrest [4, 27]. Owing to the difference between the two p53 polymorphic variants in their biochemical properties and biological effects on cell cycle progression, it is difficult to define the functionally-impaired p53 protein as this may differ according to which biological deficiency in the p53-driven mechanistic pathway is dominant in the carcinogenesis of different subtypes of breast cancer. This may also be the reason for the lack of consistent replication in the reported gene-cancer associations in the literature, although the TP53 R72P polymorphism has been tested extensively for several cancers, such as lung, cervical, colorectal, and bladder cancers [28–33]. Furthermore, studies that showed positive association between p53 polymorphism and cancer risk were also contradictory with regard to the identity of the high-risk allele, with some studies showing the G allele to increase cancer risk [31, 34], while others showed the C allele to be the high-risk allele [35–37]. In the most recent meta-analysis of 21 studies involving 24,063 subjects, the biggest to date, there was no association between TP53 R72P polymorphism and breast cancer risk [38], which concurs with an earlier meta-analysis of 17 case–control studies that also concluded an overall null association [39]. In our study, the increased risk of breast cancer among women with the G allele of the TP53 R72P polymorphism, albeit not reaching statistical significance, suggests that the p53 Arg variant protein, which is less efficient at inducing a growth arrest than the p53 Pro variant protein, increases breast cancer susceptibility. Consistent with our findings, another study among Singapore Chinese showed that the silent G allele that codes for the Arg variant in healthy Chinese heterozygotes seemed to have been reactivated during breast cancer formation, suggesting a positive correlation between the G allele expression and breast cancer risk [40].
For the MDM2 SNP309 polymorphism, the G allele increases the affinity of a well-described cotranscriptional activator of nuclear hormone receptors (Sp1) and results in increased expression of the MDM2 protein. Since the polymorphism sits in a promoter region regulated by hormonal signaling pathways, the MDM2 SNP309 locus could also possibly affect how hormones, such as estrogen, affect tumorigenesis in humans [6, 11]. However, published case–control studies have yielded contradictory results, leading to essentially null associations in subsequent meta-analysis [41, 42]. Interestingly, a recent meta-analysis of 16 case–control studies showed that while there was essentially null association between the MDM2 gene polymorphism and breast cancer risk in non-Chinese populations, there was a suggestion of increased risk with the G allele among Chinese populations [42].
In the combined effects of MDM2 SNP309 and TP53 R72P polymorphisms on breast cancer risk, if the p53 Arg variant protein is indeed implicated in breast carcinogenesis, it is reasonable to postulate that the genetic combination with increased breast cancer risk would be the G allele for TP53 polymorphism that codes for the p53 Arg variant protein, and the T allele for MDM2 polymorphism that is associated with lower expression of the MDM2 protein and an attenuation in the degradation of the p53 protein. Conversely, our study results suggest that higher expression of the MDM2 protein and increased degradation of the p53 Pro variant protein in women homozygous for the MDM2 SNP309 G allele as well as for the TP53 R72P C allele could confer protective effect for breast cancer. In a recent pooled series from the Breast Cancer Association Consortium involving 5,191 cases and 3,834 controls, although none of the associations reached statistical significance, the genetic combination with the lowest risk was the GG genotype of the MDM2 gene and the CC genotype of the TP53 gene, entirely consistent with our observations [14]. Another study that examined survival of breast cancer patients showed that among patients homozygous for the MDM2 T allele, mutant p53 status and aberrant p53 protein expression in breast tumors were associated with poor survival [43]. Our results and some of the other studies cited suggest that the T allele-encoded MDM2 protein, in the presence of an impaired p53 pathway, may lead to increased stability and nuclear protein accumulation of the impaired p53 variant protein, and thus increase cancer susceptibility.
Epidemiologic studies among Asian populations that consume moderate to high amount of soy, including this cohort of Chinese women in Singapore, have shown that dietary soy may protect against postmenopausal breast cancer [17, 44]. While it remains possible that soy intake may be a marker of some other dietary or lifestyle factors that are causally related to breast cancer risk, experimental studies have provided strong evidence on plausible causal pathways through which dietary soy exerts its anti-carcinogenesis effects. Experimental studies have shown that soy isoflavones predominately bind to and activate ERβ [45, 46], which in turn has been associated with the upregulation of genes that leads to inhibition of proliferation in breast cancer cells [47–49]. Lately, experimental studies have revealed that the anti-cancer effects of dietary isoflavones may also be via ER-independent mechanisms, such as through the inhibition of tyrosine protein kinase, an enzyme frequently implicated in carcinogenesis [50], and also by their pro-apoptotic and antiangiogenic effects [51]. More recently, genistein, a dietary isoflavone, has been shown to down-regulate the expression of the MDM2 oncogene at both the transcriptional and translational levels [15], and the inhibition of the expression of the MDM2 protein has in turn been associated with antitumor activities in a breast cancer model [16].
Our results showed a stronger soy-breast cancer association among women possessing the MDM2 high-activity genotype (GG) relative to their counterparts with the low-activity genotypes (GC and CC). In other words, women with higher expression of the MDM2 protein may show a more prominent effect of soy isoflavone protection relative to women with lower expression. Our data lend support to the hypothesis that the protective effect of dietary soy on breast cancer development, at least partially, is mediated through the down-regulatory effect of soy isoflavones on MDM2 expression. There is no experimental evidence to link p53 to the biological effect of soy on breast cancer. As expected, we noted no difference in the soy-breast cancer association by TP53 genotype. It would be of extreme interest to ascertain whether the cancer risk reduction associated with higher intake of soy isoflavone is restricted to wild-type p53 tumors in which down-regulation of MDM2 expression would be expected to have a beneficial effect.
The current study has several strengths. In this case–control study nested within a well-established cohort, soy consumption and other known environmental risk factors for breast cancer were assessed before cancer diagnosis, and hence can be presumed to be free of recall bias. The limitation of the study is its relatively small sample size of breast cancer cases. Hence, we interpret our observations with caution, viewing them principally as a hypothesis-generating set of findings that require confirmation by an independent group. Nonetheless, it is important to note that our novel findings possess biological plausibility, and are consistent with predictions based on recognized models of MDM2/p53-mediated pathways in breast carcinogenesis. Our observations on the MDM2 genotype’s influence on the protective effect of dietary soy on breast cancer carries important scientific as well as public health implications.
In summary, the present study shows a combined effect of MDM2 SNP309 and TP53 R72P polymorphisms on breast cancer risk, and provides epidemiological validation showing that the biological interaction between MDM2 protein and the p53-mediated pathway may play a role in breast carcinogenesis. This is also the first epidemiologic report suggesting that the ability of soy isoflavones to down-regulate the MDM2 protein may be one etiologic mechanism through which the intake of soy is associated with breast cancer protection.
References
Jin S, Levine AJ (2001) The p53 functional circuit. J Cell Sci 114:4139–4140
Lain S, Lane D (2003) Improving cancer therapy by non-genotoxic activation of p53. Eur J Cancer 39:1053–1060
Ara S, Lee PS, Hansen MF, Saya H (1990) Codon 72 polymorphism of the TP53 gene. Nucleic Acids Res 18:4961
Thomas M, Kalita A, Labrecque S, Pim D, Banks L, Matlashewski G (1999) Two polymorphic variants of wild-type p53 differ biochemically and biologically. Mol Cell Biol 19:1092–1100
Michael D, Oren M (2002) The p53 and Mdm2 families in cancer. Curr Opin Genet Dev 12:53–59
Bond GL, Hu W, Bond EE et al (2004) A single nucleotide polymorphism in the MDM2 promoter attenuates the p53 tumor suppressor pathway and accelerates tumor formation in humans. Cell 119:591–602
Jones SN, Hancock AR, Vogel H, Donehower LA, Bradley A (1998) Overexpression of Mdm2 in mice reveals a p53-independent role for Mdm2 in tumorigenesis. Proc Natl Acad Sci USA 95:15608–15612
Leach FS, Tokino T, Meltzer P et al (1993) p53 Mutation and MDM2 amplification in human soft tissue sarcomas. Cancer Res 53:2231–2234
Oliner JD, Kinzler KW, Meltzer PS, George DL, Vogelstein B (1992) Amplification of a gene encoding a p53-associated protein in human sarcomas. Nature 358:80–83
Momand J, Jung D, Wilczynski S, Niland J (1998) The MDM2 gene amplification database. Nucleic Acids Res 26:3453–3459
Bond GL, Hirshfield KM, Kirchhoff T et al (2006) MDM2 SNP309 accelerates tumor formation in a gender-specific and hormone-dependent manner. Cancer Res 66:5104–5110
Cox DG, Deer D, Guo Q et al (2007) The p53 Arg72Pro and MDM2–309 polymorphisms and risk of breast cancer in the nurses’ health studies. Cancer Causes Control 18:621–625
Sinilnikova OM, Antoniou AC, Simard J et al (2009) The TP53 Arg72Pro and MDM2 309G >T polymorphisms are not associated with breast cancer risk in BRCA1 and BRCA2 mutation carriers. Br J Cancer 101:1456–1460
Schmidt MK, Reincke S, Broeks A et al (2007) Do MDM2 SNP309 and TP53 R72P interact in breast cancer susceptibility? A large pooled series from the breast cancer association consortium. Cancer Res 67:9584–9590
Li M, Zhang Z, Hill DL, Chen X, Wang H, Zhang R (2005) Genistein, a dietary isoflavone, down-regulates the MDM2 oncogene at both transcriptional and posttranslational levels. Cancer Res 65:8200–8208
Wang H, Nan L, Yu D, Agrawal S, Zhang R (2001) Antisense anti-MDM2 oligonucleotides as a novel therapeutic approach to human breast cancer: in vitro and in vivo activities and mechanisms. Clin Cancer Res 7:3613–3624
Wu AH, Koh WP, Wang R, Lee HP, Yu MC (2008) Soy intake and breast cancer risk in Singapore Chinese Health Study. Br J Cancer 99:196–200
Hankin JH, Stram DO, Arakawa K et al (2001) Singapore Chinese Health Study: development, validation, and calibration of the quantitative food frequency questionnaire. Nutr Cancer 39:187–195
Franke AA, Hankin JH, Yu MC, Maskarinec G, Low SH, Custer LJ (1999) Isoflavone levels in soy foods consumed by multiethnic populations in Singapore and Hawaii. J Agric Food Chem 47:977–986
Sun CL, Yuan JM, Arakawa K, Low SH, Lee HP, Yu MC (2002) Dietary soy and increased risk of bladder cancer: the Singapore Chinese Health Study. Cancer Epidemiol Biomarkers Prev 11:1674–1677
Seow A, Shi CY, Franke AA, Hankin JH, Lee HP, Yu MC (1998) Isoflavonoid levels in spot urine are associated with frequency of dietary soy intake in a population-based sample of middle-aged and older Chinese in Singapore. Cancer Epidemiol Biomarkers Prev 7:135–140
Koh WP, Yuan JM, Sun CL et al (2003) Angiotensin I-converting enzyme (ACE) gene polymorphism and breast cancer risk among Chinese women in Singapore. Cancer Res 63:573–578
Parkin DM, Whelan SL, Ferlay J, Teppo L, Thomas D (2002) Cancer incidence in five continents. IARC, Lyon
Lee LG, Connell CR, Bloch W (1993) Allelic discrimination by nick-translation PCR with fluorogenic probes. Nucleic Acids Res 21:3761–3766
Breslow NE, Day NE (1980) Statistical methods in cancer research. In: The analysis of case-control studies, Vol 1. IARC, Lyon
Yuan JM, Koh WP, Sun CL, Lee HP, Yu MC (2005) Green tea intake, ACE gene polymorphism and breast cancer risk among Chinese women in Singapore. Carcinogenesis 26:1389–1394
Pim D, Banks L (2004) p53 polymorphic variants at codon 72 exert different effects on cell cycle progression. Int J Cancer 108:196–199
Biros E, Kalina I, Biros I et al (2001) Polymorphism of the p53 gene within the codon 72 in lung cancer patients. Neoplasma 48:407–411
Bonafe M, Olivieri F, Mari D et al (1999) P53 codon 72 polymorphism and longevity: additional data on centenarians from continental Italy and Sardinia. Am J Hum Genet 65:1782–1785
Soulitzis N, Sourvinos G, Dokianakis DN, Spandidos DA (2002) p53 codon 72 polymorphism and its association with bladder cancer. Cancer Lett 179:175–183
Storey A, Thomas M, Kalita A et al (1998) Role of a p53 polymorphism in the development of human papillomavirus-associated cancer. Nature 393:229–234
Sun Y, Keshava C, Sharp DS, Weston A, McCanlies EC (1999) DNA sequence variants of p53: cancer and aging. Am J Hum Genet 65:1779–1782
Wu X, Zhao H, Amos CI et al (2002) p53 genotypes and haplotypes associated with lung cancer susceptibility and ethnicity. J Natl Cancer Inst 94:681–690
Shen H, Solari A, Wang X et al (2004) P53 codon 72 polymorphism and risk of gastric cancer in a Chinese population. Oncol Rep 11:1115–1120
Yu MW, Yang SY, Chiu YH, Chiang YC, Liaw YF, Chen CJ (1999) A p53 genetic polymorphism as a modulator of hepatocellular carcinoma risk in relation to chronic liver disease, familial tendency, and cigarette smoking in hepatitis B carriers. Hepatology 29:697–702
Wang YC, Chen CY, Chen SK, Chang YY, Lin P (1999) p53 codon 72 polymorphism in Taiwanese lung cancer patients: association with lung cancer susceptibility and prognosis. Clin Cancer Res 5:129–134
Sjalander A, Birgander R, Hallmans G et al (1996) p53 polymorphisms and haplotypes in breast cancer. Carcinogenesis 17:1313–1316
Ma Y, Yang J, Liu Z et al (2011) No significant association between the TP53 codon 72 polymorphism and breast cancer risk: a meta-analysis of 21 studies involving 24, 063 subjects. Breast Cancer Res Treat 125:201–205
Zhuo W, Zhang Y, Xiang Z, Cai L, Chen Z (2009) Polymorphisms of TP53 codon 72 with breast carcinoma risk: evidence from 12226 cases and 10782 controls. J Exp Clin Cancer Res 28:115
Siddique MM, Balram C, Fiszer-Maliszewska L et al (2005) Evidence for selective expression of the p53 codon 72 polymorphs: implications in cancer development. Cancer Epidemiol Biomarkers Prev 14:2245–2252
Wilkening S, Bermejo JL, Hemminki K (2007) MDM2 SNP309 and cancer risk: a combined analysis. Carcinogenesis 28:2262–2267
Economopoulos KP, Sergentanis TN (2009) Differential effects of MDM2 SNP309 polymorphism on breast cancer risk along with race: a meta-analysis. Breast Cancer Res Treat 120:211–216
Boersma BJ, Howe TM, Goodman JE et al (2006) Association of breast cancer outcome with status of p53 and MDM2 SNP309. J Natl Cancer Inst 98:911–919
Wu AH, Yu MC, Tseng CC, Pike MC (2008) Epidemiology of soy exposures and breast cancer risk. Br J Cancer 98:9–14
Kuiper GG, Lemmen JG, Carlsson B et al (1998) Interaction of estrogenic chemicals and phytoestrogens with estrogen receptor beta. Endocrinology 139:4252–4263
Kostelac D, Rechkemmer G, Briviba K (2003) Phytoestrogens modulate binding response of estrogen receptors alpha and beta to the estrogen response element. J Agric Food Chem 51:7632–7635
Paruthiyil S, Parmar H, Kerekatte V, Cunha GR, Firestone GL, Leitman DC (2004) Estrogen receptor beta inhibits human breast cancer cell proliferation and tumor formation by causing a G2 cell cycle arrest. Cancer Res 64:423–428
Strom A, Hartman J, Foster JS, Kietz S, Wimalasena J, Gustafsson JA (2004) Estrogen receptor beta inhibits 17beta-estradiol-stimulated proliferation of the breast cancer cell line T47D. Proc Natl Acad Sci USA 101:1566–1571
Chang EC, Frasor J, Komm B, Katzenellenbogen BS (2006) Impact of estrogen receptor beta on gene networks regulated by estrogen receptor alpha in breast cancer cells. Endocrinology 147:4831–4842
Akiyama T, Ishida J, Nakagawa S et al (1987) Genistein, a specific inhibitor of tyrosine-specific protein kinases. J Biol Chem 262:5592–5595
Kang X, Jin S, Zhang Q (2009) Antitumor and antiangiogenic activity of soy phytoestrogen on 7, 12-dimethylbenz[alpha]anthracene-induced mammary tumors following ovariectomy in Sprague-Dawley rats. J Food Sci 74:H237–H242
Acknowledgements
This study was supported by the US National Cancer Institute [R01 CA55069, R35 CA53890, R01 CA80205, and R01 CA144034]. We thank Siew-Hong Low for supervising the field work of the Singapore Chinese Health Study, and Kazuko Arakawa for the development of the cohort study database. We also thank the Singapore Cancer Registry in Singapore for assistance with the identification of cancer cases via database linkages.
Conflicts of interest
The authors declare that they have no conflicts of interest.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Koh, WP., Van Den Berg, D., Jin, A. et al. Combined effects of MDM2 SNP309 and TP53 R72P polymorphisms, and soy isoflavones on breast cancer risk among Chinese women in Singapore. Breast Cancer Res Treat 130, 1011–1019 (2011). https://doi.org/10.1007/s10549-011-1680-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10549-011-1680-2