PMCCPMCCPMCC

Search tips
Search criteria 

Advanced

 
Logo of nihpaAbout Author manuscriptsSubmit a manuscriptNIH Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Cancer Epidemiol Biomarkers Prev. Author manuscript; available in PMC Aug 1, 2009.
Published in final edited form as:
PMCID: PMC2562592
NIHMSID: NIHMS52956
Circulating 2-hydroxy and 16-α hydroxy estrone levels and risk of breast cancer among postmenopausal women
A. Heather Eliassen,1,2 Stacey A. Missmer,1,2,3 Shelley S. Tworoger,1,2 and Susan E. Hankinson1,2
1Channing Laboratory, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
2Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts
3Department of Obstetrics, Gynecology and Reproductive Biology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
Please address correspondence to: Heather Eliassen, ScD, Channing Laboratory, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA 02115, Phone: (617) 525-2104, Fax: (617) 525-2008, E-mail: heather.eliassen/at/channing.harvard.edu
Circulating estrogens are associated with breast cancer risk in postmenopausal women. Given that estrogen metabolites are potentially both mitogenic and genotoxic, it is possible that plasma levels of estrogen metabolites are related to breast cancer risk. We conducted a prospective, nested case-control study within the Nurses' Health Study. Blood samples, collected in 1989-1990, were assayed for 2-OH estrone and 16α-OH estrone among 340 cases and 677 matched controls not taking postmenopausal hormones. Multivariate relative risks (RR) and 95% confidence intervals (CI) were calculated by conditional logistic regression, adjusting for breast cancer risk factors. Neither 2-OH estrone nor 16α-OH estrone concentrations were significantly associated with breast cancer risk overall (top vs. bottom quartile RR=1.19, 95% CI (0.80-1.79), p-trend=0.40 for 2-OH estrone and RR=1.04, 95% CI (0.71-1.53), p-trend=0.81 for 16α-OH estrone). The ratio between the two metabolites (2:16α-OH estrone) was similarly unrelated to risk overall (1.30, 95% CI (0.87-1.95), p-trend=0.35). While no associations were detected among women with ER+/PR+ tumors, significant positive associations were observed for 2-OH estrone and the 2:16α-OH estrone ratio among women with ER-/PR- tumors (2-OH estrone RR=3.65 95% CI (1.23-10.81), p-trend=0.01, p-heterogeneity=0.02; 2:16α-OH estrone RR=3.70, 95% CI (1.24-11.09), p-trend=0.004, p-heterogeneity=0.005). These data do not support the hypothesized inverse associations with 2-OH estrone and the 2:16α-OH estrone ratio nor the hypothesized positive association with 16α-OH estrone. The significant positive associations with 2-OH estrone and the 2:16 OH estrone ratio among women with ER-/PR- tumors needs to be replicated in future studies.
Keywords: estrogen metabolites, 2-hydroxy estrone, 16α-hydroxy estrone, breast cancer, postmenopausal, hormones
Circulating estrogens, including estradiol, estrone, and estrone sulfate are positively associated with breast cancer risk in postmenopausal women (1-4). The metabolism of these estrogens yields products that are potentially both estrogenic and genotoxic (5-10). It is possible that circulating levels of estrogen metabolites are related to breast cancer risk.
Oxidation of estrogens occurs at the C-2 and C-4 positions to yield 2- and 4-hydroxy (2-OH, 4-OH) estrogens and at the C-16 position to yield 16α-OH estrone (5, 11). The estrogenic and genotoxic potential varies by metabolite. Although 2-OH estrogens bind to the estrogen receptor (ER) with affinity equivalent to or greater than estradiol (12, 13), they may act as only weak mitogens (14, 15), or as inhibitors of proliferation (16, 17). While 16α-OH estrone binds to the ER with lower affinity than estradiol, it binds covalently (18-20) and once bound, fails to down-regulate the receptor (21). Thus, 16α-OH estrone stimulates cell proliferation in a manner comparable to estradiol in ER+ breast cancer cell lines (6, 22, 23) and may have stronger estrogenic properties than 2-OH estrone. Animal and in vitro studies have shown that hydroxy estrogens can induce DNA damage either directly, through the formation of quinones and DNA adducts, or indirectly, through redox cycling and the generation of reactive oxygen species (11). Although 2-OH estrogens are capable of redox cycling, the semiquinones and quinones (i.e., the oxidized forms) form stable DNA adducts that are reversible without DNA destruction (24-26). 16α-OH estrone increases unscheduled DNA synthesis in mouse mammary cells (27) and hence also may be genotoxic. Given the different potential for estrogenic and genotoxic activity by these metabolites, it has been hypothesized that metabolism favoring the 2-OH over the 16α-OH pathway may be inversely associated with breast cancer risk (28).
To date, several epidemiologic studies have examined the association between the 2-OH and 16α-OH estrogen metabolites and breast cancer risk with inconclusive results. Five prospective studies of either urinary (29-31) or serum (32, 33) estrogen metabolites among postmenopausal women have been published to date. No significant associations have been observed between 2-OH estrone, 16α-OH estrone, or the 2:16α-OH estrone ratio and breast cancer risk and the direction of the estimates is not consistent across studies.
We investigated the associations of the 2-OH and 16α-OH estrone metabolites and the 2:16α-OH estrone ratio with breast cancer risk in a nested case-control study among postmenopausal women within the Nurses' Health Study (NHS). A total of 340 cases and 677 controls were included, which is a subset of our previous breast cancer case-control study of estradiol and estrone sulfate (4).
Study Population
In 1976, 121,700 female, married, registered nurses, ages 30 to 55 years, were enrolled in the NHS. Biennially, participants have completed mailed questionnaires that collect information on various exposures, including many breast cancer risk factors, and new disease diagnoses.
During 1989-1990, blood samples were collected from 32,826 cohort members aged 43 to 69 years. Details regarding the blood collection methods have been published previously (34, 35). Briefly, each woman arranged to have her blood drawn and shipped, via overnight courier and with an ice-pack, to our laboratory, where it was processed; 97% of samples arrived at our laboratory within 26 hours of being drawn. The stability of estrogens in whole blood for 24 to 48 hours has been documented previously (36). Samples have been stored in continuously monitored liquid nitrogen freezers since collection. As of 2000, the follow-up rate among the blood cohort was 99%. The study was approved by the Committee on the Use of Human Subjects in Research at the Brigham and Women's Hospital.
Cases and controls are women who, at blood collection, were postmenopausal (defined as having a natural menopause (no periods in previous 12 months) or bilateral oophorectomy, or a hysterectomy with at least one ovary remaining if they were at least 56 years old (if a non-smoker) or 54 years old (if a current smoker), ages at which natural menopause had occurred in 90% of these groups in the overall cohort) and had not used postmenopausal hormones (PMH) for at least three months. Cases had no reported cancer diagnosis (other than non-melanoma skin cancer) before blood collection and were diagnosed with breast cancer between June 1, 1992 and May 30, 2000. Overall, 340 cases of breast cancer were reported (n=277 invasive) and confirmed by medical record review (n=334) or by verbal confirmation of the diagnosis by the nurse (n=6). Median time from blood collection to diagnosis was 80 months. Two controls (total n=677) were matched per case by age (±2 years), and month (±1 month), time of day (±2 hours), and fasting status at blood collection (≥10 hours since a meal, <10 hours or unknown). Ten controls from earlier follow-up cycles became cases in later follow-up cycles; these women serve as both cases and controls in this analysis, as is appropriate in incidence density sampling.
Laboratory Analyses
Estrogen metabolites were measured by a monoclonal antibody-based enzyme assay (ESTRAMET™2/16, Immuna Care Corp., Blue Bell, PA). The assays for 2-OHE1 and 16α-OHE1 in serum/plasma were developed from reagents and methods for measuring the metabolites in urine (37-39). The assays for urinary estrogen metabolites have been validated against gas chromatography-mass spectroscopy (GC-MS) methods (37, 40). Serum assays were then validated against urine assays by adding known amounts of urinary metabolites to serum samples and then performing the serum assay. Assays for estrone were conducted in three batches (for cases diagnosed through June 1998 (n=249) and their matched controls) and estrone sulfate and estradiol were conducted in four batches (all cases and controls) at Quest Diagnostic's Nichols Institute (San Juan Capistrano, CA). Assay methods have been described previously in detail (2, 34). In brief, samples were assayed by radioimmunoassay following extraction and celite chromatography (41-45). After extraction of estrone, estrone sulfate was assayed by radioimmunoassay of estrone, after enzyme hydrolysis, extraction, and column chromatography (46).
Each case and her two matched controls were assayed together in the same batch; samples were ordered randomly and labeled so that laboratories were masked to case-control status. The inter-assay coefficient of variation (CV) from masked replicate plasma samples in each batch 6% (16α-OH estrone) and 15% (2-OH estrone); CVs for the other estrogens were within this range. When plasma hormone values were reported as less than the detection limit (2-OH estrone 20 pg/mL; 16α-OH estrone 10 pg/mL; estradiol, 2 pg/mL; estrone, 10 pg/mL; estrone sulfate, 40 pg/mL), we set the value to half this limit (16α-OHE1 (n=9), estradiol (n=2), estrone (n=21), and estrone sulfate (n=6)).
Reproducibility Study
A subset of 186 postmenopausal NHS participants who gave blood samples during the 1989-1990 collection also provided two additional samples during the following two years. These women had not used postmenopausal hormones for at least three months and had no previous diagnosis of cancer (except non-melanoma skin cancer) at the time of each blood collection. Blood samples from 70 of these women, chosen randomly, were assayed for estrogen metabolites at the same laboratory to assess hormone reproducibility over time, as has been published previously for other hormones (47).
Covariate Data
We obtained breast cancer risk factor information from the biennial NHS questionnaires. Age at menarche and height were queried in 1976. Age at first birth and parity were assessed in 1976 and updated until 1984. Family history of breast cancer was queried in 1976, 1982, 1988, 1992, 1996, and 2000. Weight at age 18 years was queried in 1980; current weight was queried at blood collection. Menopausal status, type of and age at menopause, PMH use, and history of benign breast disease were assessed biennially. Alcohol consumption was assessed with a semiquantitative food-frequency questionnaire in 1990.
Statistical Analysis
Using the log-transformed hormone values, we estimated between-person and within-person variances from the three sets of metabolite measurements by random effects models. Reproducibility of estrone metabolites over time was assessed by calculating intraclass correlation coefficients (ICCs) by dividing the between-person variance by the sum of the within- and between-person variances.
Plasma hormone levels were categorized into quartiles, with cut points based on the control distribution. For estrone, estrone sulfate, and estradiol, the control distribution varied across batches such that quartiles based on all controls combined resulted in uneven batch-specific distributions. Because the mean value of quality-control replicates in each batch varied similarly, much (if not all) of this difference was due to laboratory drift over time rather than true differences between batches. Thus, we combined batches that had similar cut points but otherwise used batch-specific cut points (4).
We removed one matched set from the analysis because the case's estrogen values were in the premenopausal range. We used the Studentized deviate many-outlier procedure (48) to identify and exclude statistical outliers (two 2-OH estrone values ≥626 pg/mL and three estradiol values ≥ 76 pg/mL).
We used a mixed-effects regression model to test the paired differences in log-transformed hormone levels between cases and their matched controls. To estimate relative risks (RRs) and 95% confidence intervals (CIs), we used conditional logistic regression, controlling for breast cancer risk factors (see Table 3 footnote). Estimates from age-adjusted regression models were similar to those from multivariate models; therefore only multivariate results are presented. We calculated tests for trend by modeling the medians of the quartiles as a continuous variable and calculating a Wald statistic. Interactions, on the multiplicative scale, between hormone levels and breast cancer risk factors were evaluated by adding an interaction term (log hormone quartile medians X presence or absence of risk factor) to the logistic models and calculating a Wald statistic. In stratified analyses, we used unconditional logistic regression, adjusting for matching factors, since multivariate unconditional and conditional logistic regression models were essentially identical. To test whether associations differed by estrogen and progesterone receptor (ER/PR) status of the tumor, we used polychotomous logistic regression (49) with three endpoints (ER+/PR+, ER-/PR-, and no breast cancer). We used a likelihood ratio test to compare a model with separate metabolite slopes in each case group to a model with a common slope. All analyses were conducted using SAS software, version 9 (SAS Institute, Cary, NC).
Reproducibility of the estrone metabolites over three years was comparable to other steroid hormones in this population (47), with ICCs of 0.63 for 2-OH estrone, 0.80 for 16α-OH estrone, and 0.73 for the 2:16α-OH estrone ratio. Among controls, neither metabolite was strongly correlated with circulating estrogen levels (e.g., the strongest correlation was r=0.20 (p<0.001) between estrone and 16α-OH estrone) (Table 1). In addition, the two metabolites were only modestly correlated with one another (r=0.26, p<0.001).
Table 1
Table 1
Spearman correlation coefficients between estrogens and estrone metabolites among controls*
Cases were slightly heavier than controls (BMI=27.1 vs. 26.1), were more likely to be nulliparous (9.4% vs. 5.3%), and had a higher prevalence of both benign breast disease (46.2% vs. 37.4%) and family history of breast cancer (19.7% vs. 14.0%) (Table 2). There were no significant differences in estrogen metabolite concentrations or the 2:16α-OH estrone ratio between cases and controls, but cases had significantly higher levels of estradiol, estrone, and estrone sulfate compared with controls (p<0.001 for each) as previously published (2, 4) (Table 3).
Table 2
Table 2
Characteristics (Mean (SD) or %) of breast cancer cases and matched controls, Nurses' Health Study
Table 3
Table 3
Median (range*) of hormones among breast cancer cases and matched controls
2-OH estrone was not significantly associated with breast cancer risk overall (top vs. bottom quartile RR=1.19, 95% CI (0.80-1.79), p-trend=0.40) (Table 4). No association was observed when cases were restricted to ER+/PR+ (n=164) (top vs. bottom quartile RR=1.00, 95% CI (0.60-1.67), p-trend=0.95), but a significant positive association was observed among ER-/PR- cases (n=41) (comparable RR=3.65 95% CI (1.23-10.81), p-trend=0.01) (p-heterogeneity=0.02). No significant associations were observed for ER+/PR- cases (n=33) (data not shown); there were too few cases of ER-/PR+ (n=6) to evaluate separately. When invasive (n=277) and in situ (n=57) cases were evaluated separately, results were similar to the overall results with both case types combined (data not shown).
Table 4
Table 4
Multivariate* relative risks and 95% confidence intervals of breast cancer according to quartiles of estrogen metabolites
No significant associations were observed between 16α-OH estrone and breast cancer risk either overall (top vs. bottom quartile RR=1.04, 95% CI (0.71-1.53), p-trend=0.81) or by hormone receptor status (comparable RR=1.05, 95% CI (0.63-1.73), p-trend=0.85 for ER+/PR+ tumors (n=164) and RR=1.39, 95% CI (0.47-4.06), p-trend=0.78 for ER-/PR- tumors (n=41), p-heterogeneity=0.81) (Table 4). Results were similar among invasive and in situ cases (data not shown).
Similar to the association with 2-OH estrone, levels of 2:16α-OH estrone were not associated with breast cancer risk overall (top vs. bottom quartile RR=1.30, 95% CI (0.87-1.95), p-trend=0.35) or with ER+/PR+ tumors (n=164) (comparable RR=0.88, 95% CI (0.52-1.48), p-trend=0.51). However, we observed a statistically significant positive association with ER-/PR- tumors (n=41) (comparable RR=3.70, 95% CI (1.24-11.09), p-trend=0.004) and the difference in the associations by tumor receptor status was statistically significant (p-heterogeneity=0.005) (Table 4). Results did not differ from overall when stratified by invasive and in situ tumors (data not shown).
When we adjusted for estrone, estrone sulfate, or estradiol, results were not substantially different for either metabolite or their ratio (data not shown). In addition, results were unchanged when stratified by estrogen levels (top two vs. bottom two quartiles). Stratification by BMI (<25 vs. ≥25) resulted in similar observations for 2-OH estrone. Among leaner women (BMI<25), levels of 16α-OH estrone were suggestively inversely associated with breast cancer risk (top vs. bottom quartile RR=0.56, 95% CI (0.28-1.11); p-trend=0.06) while levels of the 2:16α-OH estrone ratio were significantly positively associated with risk (quartiles 2-4 RR (95% CI)=2.11 (1.02-4.35), 2.43 (1.18-5.02), 2.68 (1.27-5.66); p-trend=0.02). However, the interactions between BMI and either 16α-OH estrone levels or the 2:16α-OH estrone ratio were not statistically significant (p=0.12, 0.08, respectively). Associations with both metabolites and the ratio were unchanged when stratified by time since blood collection (<6 years vs. 6-10 years) or age at blood collection (<62 vs. ≥62 years). When analyses were restricted to women with no family history of breast cancer or women who had never used postmenopausal hormones, results were similar to those of the overall analysis (data not shown).
In this large prospective study of 2-OH and 16α-OH estrone metabolites and breast cancer risk, we did not observe any significant associations overall with either individual metabolite or with the ratio of the two metabolites. Although we observed significant positive associations of both 2-OH estrone and the 2:16α-OH estrone ratio with ER-/PR-tumors, these results should be interpreted with caution given the small number of ER-/PR- tumors and that we are the first, to our knowledge, to report such an association. In addition, though we observed a significant positive association between the 2:16α-OH estrone ratio and breast cancer risk among lean women, the differences observed by BMI were not statistically significant.
The reproducibility of these estrogen metabolites is comparable to or better than other biomarkers with well established relationships to disease outcomes in epidemiologic studies, such as cholesterol (ICC=0.65) (50) and blood pressure (ICC=0.60-0.64) (51), as well as estradiol (0.68), estrone (0.74), and estrone sulfate (0.75) (47) which have been consistently associated with breast cancer risk in this and other populations (1-4). Thus, the lack of observed associations likely is not a result of poor reproducibility of a single measure of these metabolites.
To date, several epidemiologic studies have examined the association between 2-OH estrone and 16α-OH estrone and breast cancer risk. Several retrospective case-control studies have produced conflicting results, though the analysis of hormone levels after diagnosis, which may reflect tumor-driven activity, is a limitation of these studies (52-59). Five prospective studies of eithaer urinary (29-31) or serum (32, 33) estrogen metabolites among postmenopausal women have been published to date, with case numbers ranging from 42 (29) to 272 (32) among women who were not using postmenopausal hormones. No significant associations have been observed between 2-OH estrone and breast cancer risk, with RRs ranging from 0.80 (33) to 1.61 (30) for the top vs. bottom quartile or quintile or a doubling of 2-OH estrone concentration (comparable to our top vs. bottom quartile comparison). Three (30, 32, 33) of four (30-33) studies observed RRs above 1 for the association between 16α-OH estrone and breast cancer risk (range of RRs=1.23-2.47); none of the point estimates was statistically significant though one trend was suggestive (top vs. bottom quartile RR=2.47, 95% CI (0.90-6.80), p=0.06) (33). No significant associations have been observed with the 2:16α-OH estrone ratio, with two studies reporting point estimates below 1 and two reporting estimates above 1 (range of RRs=0.71-1.31) (29-32). Thus, similar to our overall findings, previous prospective studies have not observed any significant associations with either 2-OH or 16α-OH estrone or the ratio of the two metabolites and breast cancer risk overall.
Including our study, there have been a few reports of significant associations among subgroups of women. However, the specific subgroup is not consistent across studies, nor do the subgroups follow a predicted pattern. For example, we observed a suggestive inverse association with 16α-OH estrone and a significant positive association with the 2:16α-OH estrone ratio among lean women, suggesting possible associations in a low estrogen environment. However, significant associations with both metabolites have been observed in two other studies in environments suggestive of higher estrogen levels, namely high BMI and among women on PMH. Specifically, Modugno et al (33) observed a combined effect of high BMI and high 16α-OH estrone (RR=3.51, 95% CI (1.34-9.16) for women in the top tertile of BMI and top half of 16α-OH estrone compared with lean women with lower 16α-OH estrone) and Wellejus et al (31) observed significant positive associations among PMH users with 2-OH estrone (RR for doubling=1.28, 95% CI (1.04-1.56)) and 2:16α-OH estrone ratio (RR for doubling=1.25, 95% CI (1.02-1.53)).
To our knowledge, the study by Wellejus et al (31) is the only other prospective study to examine these associations by hormone receptor status, although their results were not consistent with ours. In our population of PMH nonusers, we observed no associations with ER+/PR+ tumors, but significant positive associations with 2-OH estrone and the 2:16α-OH estrone ratio among women with ER-/PR- tumors. In the Danish study, no associations were observed with either ER+ or ER- tumors among PMH nonusers but significant positive associations with 2-OH estrone and the 2:16α-OH estrone ratio were observed among PMH users with ER+, but not ER-, tumors. In a retrospective case-control study, Kabat et al (59) observed a stronger inverse association of the 2:16α-OH estrone ratio with ER- tumors than with ER+ tumors among postmenopausal women. Because circulating estrogen levels have been associated more strongly with ER+/PR+ tumors than with ER-/PR- tumors (2), it seems contrary that estrogen metabolites may be associated with ER-/PR- tumors. In addition, based on animal studies, 2-OH estrone and the 2:16α-OH estrone ratio have been hypothesized to be inversely associated with breast cancer risk (28), rather than positively associated as we observed. Given that there are two different, though not necessarily mutually exclusive, hypotheses of the mechanism by which estrogen metabolites may affect breast cancer risk, it is possible that the genotoxicity of 2-OH estrone plays a role in hormone receptor negative tumors (60). This study has several strengths, including that it is the largest study to date among postmenopausal women not using PMH. Blood samples and risk factor information were collected prior to diagnosis, minimizing the possibility of reverse causality or recall bias. Only one blood sample per woman is a potential limitation, although our reproducibility data suggest that one sample is an adequate representation of these metabolites over at least a few years. Another limitation is the selectivity of estrogen metabolites, with no data on other potentially important metabolites including 4-OH estrone. 4-OH estrogens have a greater estrogenic potential than 2-OH estrogens, given the lower dissociation rate from estrogen receptors compared with estradiol (61), and are potentially more genotoxic since the quinones form unstable adducts, leading to depurination and mutation in vitro and in vivo (10, 25, 62-64). Furthermore, the balance between the catechol (i.e., 2-OH and 4-OH) and methoxy (i.e., 2-Me and 4-Me) estrogens may impact risk. Thus, the investigation of just 2-OH and 16α-OH estrone may be inadequate to rule out the importance of estrogen metabolites on breast cancer risk.
In conclusion, our results do not support the hypothesis that metabolism favoring the 2-OH estrone pathway is more beneficial to breast cancer risk than that favoring the 16α-OH estrone pathway. Though we observed positive associations with 2-OH estrone and the 2:16α-OH estrone ratio among women with lower BMI and women with ER-/PR-tumors, these results were unexpected and require replication. Future studies should include a broader panel of metabolites to investigate the estrogen metabolism pathway and its possible role in breast cancer risk more thoroughly.
Acknowledgments
We gratefully acknowledge the Nurses' Health Study participants for their continuing cooperation. We thank Dr. Thomas Klug for his thoughtful comments on the manuscript.
Funding/Support: This study was supported by Research Grants CA49449 and CA87969 from the National Cancer Institute. Dr. Eliassen was supported by Cancer Education and Career Development Grant R25 CA098566-02 from the National Cancer Institute.
1. Endogenous Hormones and Breast Cancer Collaborative Group. Endogenous sex hormones and breast cancer in postmenopausal women: reanalysis of nine prospective studies. J Natl Cancer Inst. 2002;94:606–16. [PubMed]
2. Missmer SA, Eliassen AH, Barbieri RL, Hankinson SE. Endogenous estrogen, androgen, and progesterone concentrations and breast cancer risk among postmenopausal women. J Natl Cancer Inst. 2004;96:1856–65. [PubMed]
3. Kaaks R, Rinaldi S, Key TJ, et al. Postmenopausal serum androgens, oestrogens and breast cancer risk: the European prospective investigation into cancer and nutrition. Endocr Relat Cancer. 2005;12:1071–82. [PubMed]
4. Eliassen AH, Missmer SA, Tworoger SS, Hankinson SE. Endogenous steroid hormone concentrations and risk of breast cancer: does the association vary by a woman's predicted breast cancer risk? J Clin Oncol. 2006;24:1823–30. [PubMed]
5. Yager JD, Davidson NE. Estrogen carcinogenesis in breast cancer. N Engl J Med. 2006;354:270–82. [PubMed]
6. Lottering ML, Haag M, Seegers JC. Effects of 17 beta-estradiol metabolites on cell cycle events in MCF-7 cells. Cancer Res. 1992;52:5926–32. [PubMed]
7. Schutze N, Vollmer G, Knuppen R. Catecholestrogens are agonists of estrogen receptor dependent gene expression in MCF-7 cells. J Steroid Biochem Mol Biol. 1994;48:453–61. [PubMed]
8. Schutze N, Vollmer G, Tiemann I, Geiger M, Knuppen R. Catecholestrogens are MCF-7 cell estrogen receptor agonists. J Steroid Biochem Mol Biol. 1993;46:781–9. [PubMed]
9. Jefcoate CR, Liehr JG, Santen RJ, et al. Tissue-specific synthesis and oxidative metabolism of estrogens. J Natl Cancer Inst Monogr. 2000:95–112. [PubMed]
10. Yue W, Santen RJ, Wang JP, et al. Genotoxic metabolites of estradiol in breast: potential mechanism of estradiol induced carcinogenesis. J Steroid Biochem Mol Biol. 2003;86:477–86. [PubMed]
11. Yager JD, Liehr JG. Molecular mechanisms of estrogen carcinogenesis. Annu Rev Pharmacol Toxicol. 1996;36:203–32. [PubMed]
12. Van Aswegen CH, Purdy RH, Wittliff JL. Binding of 2-hydroxyestradiol and 4-hydroxyestradiol to estrogen receptors from human breast cancers. J Steroid Biochem. 1989;32:485–92. [PubMed]
13. Anstead GM, Carlson KE, Katzenellenbogen JA. The estradiol pharmacophore: ligand structure-estrogen receptor binding affinity relationships and a model for the receptor binding site. Steroids. 1997;62:268–303. [PubMed]
14. Seeger H, Wallwiener D, Kraemer E, Mueck AO. Comparison of possible carcinogenic estradiol metabolites: Effects on proliferation, apoptosis and metastasis of human breast cancer cells. Maturitas. 2005 [PubMed]
15. Gupta M, McDougal A, Safe S. Estrogenic and antiestrogenic activities of 16alpha- and 2-hydroxy metabolites of 17beta-estradiol in MCF-7 and T47D human breast cancer cells. J Steroid Biochem Mol Biol. 1998;67:413–9. [PubMed]
16. Schneider J, Huh MM, Bradlow HL, Fishman J. Antiestrogen action of 2-hydroxyestrone on MCF-7 human breast cancer cells. J Biol Chem. 1984;259:4840–5. [PubMed]
17. Vandewalle B, Lefebvre J. Opposite effects of estrogen and catecholestrogen on hormone-sensitive breast cancer cell growth and differentiation. Mol Cell Endocrinol. 1989;61:239–46. [PubMed]
18. Miyairi S, Ichikawa T, Nambara T. Structure of the adduct of 16 alpha-hydroxyestrone with a primary amine: evidence for the Heyns rearrangement of steroidal D-ring alpha-hydroxyimines. Steroids. 1991;56:361–6. [PubMed]
19. Bucala R, Fishman J, Cerami A. Formation of covalent adducts between cortisol and 16 alpha-hydroxyestrone and protein: possible role in the pathogenesis of cortisol toxicity and systemic lupus erythematosus. Proc Natl Acad Sci U S A. 1982;79:3320–4. [PubMed]
20. Swaneck GE, Fishman J. Covalent binding of the endogenous estrogen 16 alpha-hydroxyestrone to estradiol receptor in human breast cancer cells: characterization and intranuclear localization. Proc Natl Acad Sci U S A. 1988;85:7831–5. [PubMed]
21. Lustig RH, Mobbs CV, Pfaff DW, Fishman J. Temporal actions of 16 alpha-hydroxyestrone in the rat: comparisons of lordosis dynamics with other estrogen metabolites and between sexes. J Steroid Biochem. 1989;33:417–21. [PubMed]
22. Lippert C, Seeger H, Mueck AO. The effect of endogenous estradiol metabolites on the proliferation of human breast cancer cells. Life Sci. 2003;72:877–83. [PubMed]
23. Fishman J, Swaneck G. Differential interactions of estradiol metabolites with the estrogen receptor: genomic consequences and tumorigenesis. In: Li JJ, Nandi S, SA Li, editors. Hormonal Carcinogenesis: Proc 1st Int Symp. New York: Springer-Verlag; 1992. pp. 95–103.
24. Mueck AO, Seeger H, Lippert TH. Estradiol metabolism and malignant disease. Maturitas. 2002;43:1–10. [PubMed]
25. Cavalieri EL, Stack DE, Devanesan PD, et al. Molecular origin of cancer: catechol estrogen-3,4-quinones as endogenous tumor initiators. Proc Natl Acad Sci U S A. 1997;94:10937–42. [PubMed]
26. Stack DE, Byun J, Gross ML, Rogan EG, Cavalieri EL. Molecular characteristics of catechol estrogen quinones in reactions with deoxyribonucleosides. Chem Res Toxicol. 1996;9:851–9. [PubMed]
27. Telang NT, Suto A, Wong GY, Osborne MP, Bradlow HL. Induction by estrogen metabolite 16 alpha-hydroxyestrone of genotoxic damage and aberrant proliferation in mouse mammary epithelial cells. J Natl Cancer Inst. 1992;84:634–8. [PubMed]
28. Bradlow HL, Hershcopf RJ, Martucci CP, Fishman J. Estradiol 16 alpha-hydroxylation in the mouse correlates with mammary tumor incidence and presence of murine mammary tumor virus: a possible model for the hormonal etiology of breast cancer in humans. Proc Natl Acad Sci U S A. 1985;82:6295–9. [PubMed]
29. Meilahn EN, De Stavola B, Allen DS, et al. Do urinary oestrogen metabolites predict breast cancer? Guernsey III cohort follow-up. Br J Cancer. 1998;78:1250–5. [PMC free article] [PubMed]
30. Muti P, Bradlow HL, Micheli A, et al. Estrogen metabolism and risk of breast cancer: a prospective study of the 2:16alpha-hydroxyestrone ratio in premenopausal and postmenopausal women. Epidemiology. 2000;11:635–40. [PubMed]
31. Wellejus A, Olsen A, Tjonneland A, Thomsen BL, Overvad K, Loft S. Urinary hydroxyestrogens and breast cancer risk among postmenopausal women: a prospective study. Cancer Epidemiol Biomarkers Prev. 2005;14:2137–42. [PubMed]
32. Cauley JA, Zmuda JM, Danielson ME, et al. Estrogen metabolites and the risk of breast cancer in older women. Epidemiology. 2003;14:740–4. [PubMed]
33. Modugno F, Kip KE, Cochrane B, et al. Obesity, hormone therapy, estrogen metabolism and risk of postmenopausal breast cancer. Int J Cancer. 2006;118:1292–301. [PubMed]
34. Hankinson SE, Willett WC, Manson JE, et al. Plasma sex steroid hormone levels and risk of breast cancer in postmenopausal women. J Natl Cancer Inst. 1998;90:1292–9. [PubMed]
35. Hankinson SE, Willett WC, Manson JE, et al. Alcohol, height, and adiposity in relation to estrogen and prolactin levels in postmenopausal women. J Natl Cancer Inst. 1995;87:1297–302. [PubMed]
36. Hankinson SE, London SJ, Chute CG, et al. Effect of transport conditions on the stability of biochemical markers in blood. Clin Chem. 1989;35:2313–6. [PubMed]
37. Klug TL, Bradlow HL, Sepkovic DW. Monoclonal antibody-based enzyme immunoassay for simultaneous quantitation of 2- and 16 alpha-hydroxyestrone in urine. Steroids. 1994;59:648–55. [PubMed]
38. Bradlow HL, Sepkovic DW, Klug T, Osborne MP. Application of an improved ELISA assay to the analysis of urinary estrogen metabolites. Steroids. 1998;63:406–13. [PubMed]
39. Falk RT, Rossi SC, Fears TR, et al. A new ELISA kit for measuring urinary 2-hydroxyestrone, 16alpha-hydroxyestrone, and their ratio: reproducibility, validity, and assay performance after freeze-thaw cycling and preservation by boric acid. Cancer Epidemiol Biomarkers Prev. 2000;9:81–7. [PubMed]
40. Ziegler RG, Rossi SC, Fears TR, et al. Quantifying estrogen metabolism: an evaluation of the reproducibility and validity of enzyme immunoassays for 2-hydroxyestrone and 16alpha-hydroxyestrone in urine. Environ Health Perspect. 1997;105 3:607–14. [PMC free article] [PubMed]
41. Abraham GE, Tulchinsky D, Korenman SG. Chromatographic purification of estradiol-17 for use in radio-ligand assay. Biochem Med. 1970;3:365–8. [PubMed]
42. Mikhail G, Chung HW. Radioimmunoassay of plasma estrogens. Use of polymerized antibodies. In: Peron FG, Caldwells BV, editors. Immunological methods in steroid determination. New York: Appleton-Century-Croft; 1970. p. 113.
43. Mikhail G, Wu CH, Ferin M, Vande Wiele RL. Radioimmunoassay of plasma estrone and estradiol. Steroids. 1970;15:333–52. [PubMed]
44. Kinouchi T, Pages L, Horton R. A specific radioimmunossay for testosterone in peripheral plasma. J Lab Clin Med. 1973;82:309–16. [PubMed]
45. McNatty KP, Smith DM, Makris A, Osathanondh R, Ryan KJ. The microenvironment of the human antral follicle: interrelationships among the steroid levels in antral fluid, the population of granulosa cells, and the status of the oocyte in vivo and in vitro. J Clin Endocrinol Metab. 1979;49:851–60. [PubMed]
46. Franz C, Watson D, Longcope C. Estrone sulfate and dehydroepiandrosterone sulfate concentrations in normal subjects and men with cirrhosis. Steroids. 1979;34:563–73. [PubMed]
47. Hankinson SE, Manson JE, Spiegelman D, Willett WC, Longcope C, Speizer FE. Reproducibility of plasma hormone levels in postmenopausal women over a 2-3-year period. Cancer Epidemiol Biomarkers Prev. 1995;4:649–54. [PubMed]
48. Rosner B. Percentage points for a generalized ESD many-outlier procedure. Technometrics. 1983;25:165–72.
49. Marshall RJ, Chisholm EM. Hypothesis testing in the polychotomous logistic model with an application to detecting gastrointestinal cancer. Stat Med. 1985;4:337–44. [PubMed]
50. Shekelle RB, Shryock AM, Paul O, et al. Diet, serum cholesterol, and death from coronary heart disease. The Western Electric study. N Engl J Med. 1981;304:65–70. [PubMed]
51. Rosner B, Hennekens CH, Kass EH, Miall WE. Age-specific correlation analysis of longitudinal blood pressure data. Am J Epidemiol. 1977;106:306–13. [PubMed]
52. Kabat GC, Chang CJ, Sparano JA, et al. Urinary estrogen metabolites and breast cancer: a case-control study. Cancer Epidemiol Biomarkers Prev. 1997;6:505–9. [PubMed]
53. Ho GH, Luo XW, Ji CY, Foo SC, Ng EH. Urinary 2/16 alpha-hydroxyestrone ratio: correlation with serum insulin-like growth factor binding protein-3 and a potential biomarker of breast cancer risk. Ann Acad Med Singapore. 1998;27:294–9. [PubMed]
54. Zheng W, Dunning L, Jin F, Holtzman J. Cancer Epidemiol Biomarkers Prev. 1998;7:85–6. Correspondence re: G. C. Kabat et al., Urinary estrogen metabolites and breast cancer: a case-control study. Cancer Epidemiol., Biomark. Prev., 6: 505-509, 1997. [PubMed]
55. Ursin G, London S, Stanczyk FZ, et al. Urinary 2-hydroxyestrone/16alpha-hydroxyestrone ratio and risk of breast cancer in postmenopausal women. J Natl Cancer Inst. 1999;91:1067–72. [PubMed]
56. Schneider J, Kinne D, Fracchia A, et al. Abnormal oxidative metabolism of estradiol in women with breast cancer. Proc Natl Acad Sci U S A. 1982;79:3047–51. [PubMed]
57. Adlercreutz H, Fotsis T, Hockerstedt K, et al. Diet and urinary estrogen profile in premenopausal omnivorous and vegetarian women and in premenopausal women with breast cancer. J Steroid Biochem. 1989;34:527–30. [PubMed]
58. Fowke JH, Qi D, Bradlow HL, et al. Urinary estrogen metabolites and breast cancer: differential pattern of risk found with pre- versus post-treatment collection. Steroids. 2003;68:65–72. [PubMed]
59. Kabat GC, O'Leary ES, Gammon MD, et al. Estrogen metabolism and breast cancer. Epidemiology. 2006;17:80–8. [PubMed]
60. Guillemette C, Belanger A, Lepine J. Metabolic inactivation of estrogens in breast tissue by UDP-glucuronosyltransferase enzymes: an overview. Breast Cancer Res. 2004;6:246–54. [PMC free article] [PubMed]
61. Barnea ER, MacLusky NJ, Naftolin F. Kinetics of catechol estrogen-estrogen receptor dissociation: a possible factor underlying differences in catechol estrogen biological activity. Steroids. 1983;41:643–56. [PubMed]
62. Devanesan P, Todorovic R, Zhao J, Gross ML, Rogan EG, Cavalieri EL. Catechol estrogen conjugates and DNA adducts in the kidney of male Syrian golden hamsters treated with 4-hydroxyestradiol: potential biomarkers for estrogen-initiated cancer. Carcinogenesis. 2001;22:489–97. [PubMed]
63. Chakravarti D, Mailander PC, Li KM, et al. Evidence that a burst of DNA depurination in SENCAR mouse skin induces error-prone repair and forms mutations in the H-ras gene. Oncogene. 2001;20:7945–53. [PubMed]
64. Cavalieri EL, Kumar S, Todorovic R, Higginbotham S, Badawi AF, Rogan EG. Imbalance of estrogen homeostasis in kidney and liver of hamsters treated with estradiol: implications for estrogen-induced initiation of renal tumors. Chem Res Toxicol. 2001;14:1041–50. [PubMed]