Abstract
Accurately quantifying parent estrogens (PE) estrone (E1) and estradiol (E2) and their metabolites (EM) within breast tissue and serum may permit detailed investigations of their contributions to breast carcinogenesis among BRCA1/2 mutation carriers. We conducted a study of PE/EM in serum, nipple aspirate fluid (NAF), and ductal lavage supernatant (DLS) among postmenopausal BRCA1/2 mutation carriers. PE/EM (conjugated and unconjugated) were measured in paired serum/NAF (n = 22 women) and paired serum/DLS samples (n = 24 women) using quantitative liquid chromatography–tandem mass spectrometry (LC/MS/MS). The relationships between serum and tissue-specific PE/EM were measured using Pearson’s correlation coefficients. Conjugated forms of PE/EM constituted the majority of estrogen in serum (88 %), NAF (59 %) and DLS (69 %). PE/EM in NAF and serum were highly correlated [E1 (r = 0.97, p < 0.0001), E2 (r = 0.90, p < 0.0001) and estriol (E3) (r = 0.74, p < 0.0001)] as they were in DLS and serum [E1 (r = 0.92, p < 0.0001; E2 (r = 0.70, p = 0.0001; E3 (r = 0.67, p = 0.0004)]. Analyses of paired total estrogen values for NAF and serum, and DLS and serum yielded ratios of 0.22 (95 % CI 0.19–0.25) and 0.28 (95 % CI 0.24–0.32), respectively. This report is the first to employ LC/MS/MS to quantify PE/EM in novel breast tissue-derived biospecimens (i.e., NAF and DLS). We demonstrate that circulating PE and EM are strongly and positively correlated with tissue-specific PE and EM measured in NAF and DLS among post-menopausal BRCA1/2 mutation carriers. If confirmed, future etiologic studies could utilize the more readily obtainable serum hormone levels as a reliable surrogate measure of exposure at the tissue level.
Keywords: BRCA1/2, Estrogens, Parent estrogens, Estrogen metabolites, Nipple aspirate fluid, Ductal lavage supernatant, LC/MS/MS, Postmenopausal
Introduction
Epidemiological studies of endogenous sex steroid hormone levels [1–3] and randomized clinical trials of exogenous estrogen use [4–7] have demonstrated a role for estrogen in breast cancer carcinogenesis. In addition, evidence from animal models and cultured cell lines has supported the hypothesis that specific oxidative metabolites of estrogen have genotoxic, mutagenic, and carcinogenic potential [8–16] (Fig. 1). Estrogen metabolism entails hydroxylation of the parent estrogens (estrone and estradiol) at sites C2, C4, or C16, followed by conjugation (primarily via sulfation, glucuronidation, and methylation). Estrogen metabolites (EM) formed as a result of the 4- and 16-hydroxylation pathway have genotoxic properties, while EM produced by the 2-hydroxylation pathway are thought to inhibit tumorigenesis and are detectable in serum of postmenopausal women [7, 17–19]. Evidence also suggests that parent estrogens (PE [estrone (E1) and estradiol (E2)]) and their EM are detectable in human breast tissues, both histologically normal and malignant, supporting the hypotheses that carcinogenic pathways exist within human breast tissue [20], and that twofold higher levels of both the 2- and 4-hydroxyestrogens can be detected within breast cancer tumors compared with normal breast tissue [21]. Growing evidence suggests that alterations in estrogen metabolism may lead to elevated serum and urine estrogen–DNA adduct levels, which are also associated with breast cancer in women at high risk (i.e., Gail Model score >1.66 %) and in women diagnosed with breast cancer compared with normal-risk women [16, 22].
Fig. 1.
Carcinogenic pathways of strogen metabolism
In postmenopausal women, elevated levels of sex steroid hormones are linked to breast cancer risk, and accumulating evidence suggests that the contribution of intracrine estrogen production within the breast may be a critical factor in tumorigenesis [23]. In postmenopausal women, biologically active sex hormones are synthesized primarily in target tissues, including the breast, although the regulation of enzymes involved in this process is complex and not well understood [24]. Further, the relationship between circulating estrogens and estrogens within the breast is not well-established. To date, research results across studies evaluating the relationship between E1 and E2 levels in breast tissue (normal, fatty, malignant) compared with concentrations of E1 and E2 in serum are inconsistent for both premenopausal and postmenopausal women [23, 24].
The role of estrogen metabolites in BRCA1/2-related breast carcinogenesis is complex and has not been well described [25, 26]. Estrogen receptor (ER)-α has been reported to activate BRCA1 expression within the breast and to provide protection against DNA damage and genome instability in ER-α positive breast cells. In women who carry a BRCA1 mutation, the loss of BRCA1 function in precancerous cells could lead to an elevated risk of breast cancer by increasing genomic instability within the background of impaired DNA repair function.
In addition, an etiologic role for some genotoxic variants of estrogen has been suggested for BRCA1-related breast carcinogenesis, with estrogen receptor (ER)-α-negative breast cancers arising from the basal rather than luminal epithelium [8, 25–27]. In this model, BRCA1 function is required for the differentiation of ER-α-negative stem/progenitor cells to ER-α-positive luminal cells. However, more recent work has identified an aberrant luminal progenitor population in BRCA 1 mutation carriers which may serve as a target for oncogenic events [28]. Similar work in postmen-opausal women who are known BRCA2 mutation carriers has not been reported, although BRCA1 and BRCA2 work in a common pathway of genome protection [29].
Nipple aspirate fluid (NAF) and ductal lavage offer means to directly evaluate the ductal microenvironment of the breast, where the majority of breast cancers arise. Data on the relationship between hormones in NAF, ductal lavage supernatant (DLS), and hormone concentrations in serum are inconsistent in both pre- and postmenopausal women [23, 30–32]. NAF estrogen concentrations have been reported as being higher than serum estrogen levels, and some studies have suggested a greater postmenopausal decline in serum estrogen levels than in NAF [31, 33, 34]. Most recently, correlations between serum and NAF estrogen levels in healthy postmenopausal women presenting for routine breast cancer surveillance (n = 18) were reported as low (E1, r = −0.23 [P = 0.25] E2, r = 0.14 [P = 0.47]) [31, 34]. The correlation between circulating and intra-breast levels (e.g., in NAF or DLS) has not been evaluated in BRCA1/2 mutation-positive women.
To better understand the relationship between estrogens in serum and breast fluids, we conducted a cross-sectional feasibility study comparing PE and EM in serum, NAF, and DLS among postmenopausal, BRCA1/2 mutation-positive women enrolled in the U.S. National Cancer Institute, Clinical Genetics Branch’s Breast Imaging Study. Previous work has demonstrated the sensitivity, specificity, and reproducibility of LC/MS/MS methods in detecting TE, PE, and EM in urine and serum of postmenopausal women [35, 36]. The use of this sensitive and specific high-performance LC/MS/MS assay method provided the opportunity to quantify PE and an additional 13 EM in a single assay in serum, NAF, and DLS [36].
Materials and methods
Study population
The National Cancer Institute (NCI), Clinical Genetic Branch’s Breast Imaging Study (BIS, NCI Protocol #01-C-0009; NCT-00012415) was a prospective assessment (2001–2008) of breast cancer screening modalities in women from families with known BRCA1/2 mutations [37, 38]. Participants were seen annually for 4 years, and underwent a physical examination, breast MRI, and a standard four-view mammogram at each visit. Nipple aspiration and ductal lavage (DL) were attempted at each visit. 200 women ages 25–56 years enrolled in this study, including 170 women with deleterious BRCA1/2 mutations and 30 mutation-negative women from the same families. As previously reported [39], 171 participants underwent nipple aspiration and ductal lavage but only 45 yielded NAF (23 BRCA mutation carriers, 22 non-carriers) during the first visit and only 70 (57 BRCA mutation carriers, 13 non-carriers) had ductal lavage with adequate cell counts for cytological evaluation. 13 of the 30 mutation-negative women were postmenopausal at enrollment, but so few yielded NAF (n = 3) or were successfully cannulated for DL (n = 8), that the present analysis was restricted to BRCA1/2 mutation carriers with adequate samples for the assay. This study was approved by the NCI Institutional Review Board (IRB), and written informed consent was obtained from all participants.
For the purposes of this study, all BRCA1 or BRCA2 mutation-positive, postmenopausal (defined as spontaneous amenorrhea for at least 12 months or documented bilateral oophorectomy) women with sufficient volumes of serum, NAF, and/or DLS specimens (≥0.5 mL), were eligible for inclusion. Serum, NAF, and/or DLS were collected at the same visit; however, both NAF and DLS could not always be collected from each participant.
Biological specimen collection and processing
Whole blood samples were collected at each visit using standard techniques, allowed to clot for 30 min, centrifuged at 3,000 rpm for 15 min, and the serum fraction aliquoted into 1 mL test tubes and frozen at −80 °C. NAF was collected with a “clean” technique using sterile gloves to handle NAF instruments to avoid contamination of NAF specimens. After standard breast preparation [39], nipple aspiration was performed using a nipple aspirator (First-Cyte™; Cytyc Health Corporation) to identify all fluid-yielding ducts. Two methods of NAF collection were employed over the course of the study. Initially (2001–2007), visible NAF was collected with a 10-μL glass capillary tube; the tube was sealed and placed in a 10 cc test tube and frozen at −80 °C; 10 subjects’ samples in the current study were collected in this manner. Beginning in 2008, visible NAF was collected with a 10-μL glass capillary tube and up to 10-μL of NAF was immediately transferred to a 1 mL Nunc tube filled with 0.5 mL sterile normal saline; 12 subjects’ samples were collected in this way. An estimation of the quantity of NAF was made by recording the volume of NAF within the 10-μL glass capillary tube for both methods. When possible, each NAF-yielding duct was collected separately and placed into separate Nunc tubes. When NAF flowed freely from multiple ducts simultaneously, NAF was collected from the multiple ducts and processed in the same manner as NAF from a single duct.
A standardized ductal lavage procedure was attempted in all research participants [40]. Even when visible NAF was not produced by aspiration, an attempt was made to sample visually identifiable ducts with a microdilator, followed by cannulation (First-Cyte™; Cytyc Health Corporation). The locations of NAF-yielding ducts and non-NAF/cannulated ducts were recorded [39]. If catheter insertion was successful, 3–5 mL of 1 % lidocaine was infused into the duct, followed by approximately 20 mL of sterile normal saline, in incremental 5 mL aliquots. After each 5 mL aliquot was infused, breast massage was performed, and ductal fluid collected via the lavage catheter. Volumes of recovered lavage varied considerably across all participants. Recovered ductal lavage fluid volume was measured, and 20 % of the sample was placed in a vial for cell count and cytologic analysis. Cell count varied considerably across the total study population [39]. The remaining specimen was centrifuged at 2,000 rpm, and the DLS and pellet were separated. DLS was stored in 1 mL test tubes and frozen for future research studies. Samples were placed on dry ice within 20–60 min after collection and stored at −80 °C.
Analysis of estrogens in serum, DLS, and NAF
Reagents and materials
Using methods previously described [36], parent estrogens (E1), (E2), and 13 estrogen metabolites (EM) [2-hydroxyestrone (2-OHE1), 2-methoxyestrone (2-MeOE1), 2-hydroxyestradiol (2-OHE2), 2-methoxyestradiol (2-MeOE2), 2-hydroxyestrone-3-methyl ether (3-MeOE1), 4-hydroxyestrone (4-OHE1), 4-methoxyestrone (4-MeOE1), 4-methoxyestradiol (4-MeOE2), 16α-hydroxyestrone (16α-OHE1), 17-epiestriol (17-epiE3), 16-ketoestradiol (16-ketoE2), 16-epiestriol (16-epiE3), and estriol (E3)] were quantified. Standard samples for each estrogen metabolite were obtained from Steraloids, Inc. (Newport, RI, USA), while stable isotope-labeled estrogens (SI-EM), estrone-13,14,15,16,17,18-13C6 (estrone-13C6) and 17β-estradiol-13,14,15,16,17,18-13C6 (17β-estradiol-13C6) were obtained from Cambridge Isotope Laboratories, Inc. (Andover, MA, USA). Estriol-2,4,17-d3 (d3-E3), 2-hydroxy-estradiol-1,4,16,16,17-d5 (d5-2-OHE2), and 2-methoxyestradiol-1,4,16,16,17-d5 (d5-2-MeOE2), were purchased from C/D/N Isotopes, Inc. (Pointe-Claire, Quebec, Canada). A sixth SI-EM, 16-epiestriol-2,4,16-d3 (d3-16-epiE3), was obtained from Medical Isotopes, Inc. (Pelham, NH, USA). All EM and SI-EM have reported chemical and isotopic purity ≥98 %, and were used without further purification.
Sample preparation procedure
Prior to the sample preparation, NAF specimens collected with capillary tubes were first sonicated in acetone/ethyl alcohol (1:1 v/v) for 30 min to quantitatively recover estrogens and estrogen metabolites from the glass capillaries followed by lyophilization to dryness, and were then reconstituted in 100 μL ethanol and 900 μL of 0.15 M sodium acetate buffer (pH 4.6). In addition, 0.5 mL normal saline was added to NAF samples collected in Nunc tubes to bring their volume to 1 mL as well. For serum, DLS, and NAF, the sample preparation procedures distinguished unconjugated and total estrogens (TE = conjugated + unconjugated) using techniques previously described [36]. To a single aliquot, 5 μL of SI-EM working internal standard solution was added. This sample was split into two separate 0.4 mL aliquots, one for total EM and the other for unconjugated EM. For measuring total EM, 0.5 mL of freshly prepared enzymatic hydrolysis buffer containing 2 mg of L-ascorbic acid, 5 μL of β-glucuronidase/sulfatase, and 0.5 mL of 0.15 M sodium acetate buffer (pH 4.6) were added. The sample was incubated 20 h at 37 °C. For measuring unconjugated EM, a 0.5 mL aliquot of hydrolysis buffer, without β-glucuronidase/ sulfatase, was added to the second 0.4 mL aliquot. Both aliquots then underwent slow inverse extraction at 8 rpm (RKVSD™, ATR, Inc., Laurel, MD) with 5 mL dichloro-methane for 30 min. After extraction, the aqueous layer was discarded and the organic solvent portion was transferred into a clean glass tube and evaporated to dryness at 60 °C under nitrogen gas (Reacti-Vap III™, Pierce, Rockford, IL, USA). To each NAF sample, 32 μL of 0.1 M sodium acetate solution (pH at 9.0) and 32 μL of dansyl chloride solution (1 mg/mL in acetone) were added. After vortexing, the sample was heated at 60 °C (Reacti-Therm III™ Heating Module, Pierce, Rockford, IL, USA) for 5 min to form the EM and SI-EM dansyl derivatives (EM-Dansyl and SI-EM-Dansyl, respectively). Calibration standards and quality control samples were hydrolyzed (or not hydrolyzed), extracted, and derivatized following the same procedure as that used for unknown samples. After derivatization, 8 μL (1/8 of final volume) of each sample was injected and analyzed by a capillary LC/MS/ MS. Details of the LC/MS/MS method utilized for the analysis of serum, DLS, and NAF have been published previously [36].
Quantitation of estrogens and estrogen metabolites (EM)
Quantitation of estrogens and estrogen metabolites was carried out using Xcalibur™ Quan Browser (ThermoFisher). Calibration curves for each EM were constructed by plotting EM-Dansyl/SI-EM-Dansyl peak area ratios obtained from calibration standards versus amounts of EM and fitting these data using linear regression with 1/X weighting. The amount of EM in serum, DLS, or NAF samples was then interpolated using this linear function. Deuteriums at the α-position to the carbonyl group of the stable isotope-labeled ketolic estrogens were especially susceptible to exchange loss during sample preparation and analysis. To insure the quality of quantitative analyses, only stable isotope-labeled EM without exchange loss were employed in this study. Based on their similarity of structures and retention times, estrone-13C6 was used as the internal standard for estrone; 17β-estradiol-13C6 for E2; d3-E3 for E3, 16-ketoE2, and 16α-OHE1; d3-16-epiE3 for 16-epiE3 and 17-epiE3; d5-2-MeOE2 for 2-MeOE2, 4-MeOE2, 2-MeOE1, 4-MeOE1, and 3-MeOE1; d5-2-OHE2 for 2-OHE2, 2-OHE1, and 4-OHE1, respectively [36].
The assay accuracy and intra- and inter-batch precision were evaluated by measuring PE and 13 EM in duplicate charcoal-stripped human sera at three levels, 0.5, 20, 250 pg/mL (Supplementary Table, available online). The limit of detection (LOD) for each estrogen and estrogen metabolite in this LC–MS assay was 10 fg on column. The reproducibility of the assay for serum (n = 9 individuals with replicate serum specimens) and DLS (n = 5), and NAF (n = 3) was evaluated in a masked fashion. The intra-class correlation coefficients (ICC) for the raw PE and EM values assessed in masked, paired serum/NAF, and serum/ DLS specimens ranged from 0.98 to 0.99, indicating excellent reproducibility.
Assessment of breast cancer risk factors and covariates
Participants completed self-administered questionnaires that captured data on factors known to influence both estrogen levels and breast cancer risk, including: age, age at menarche, parity, age at menopause, surgical menopause, family and personal history of breast cancer, history of breast biopsy, and exogenous hormone use. Measured height and weight were used to calculate body mass index (BMI, kg/m2).
Statistical Analysis
PE and EM measures were loge transformed and geometric means were calculated. Pearson correlation coefficients were used to examine the strength of the association between loge-transformed EM levels measured in serum with those measured in NAF or DLS. Each PE and EM was assessed separately. We examined whether relationships between circulating and intra-breast PE and EM differed between BRCA1 and BRCA2 mutation carriers; results were similar, and are therefore reported here for BRCA1 and BRCA2 mutation carriers combined. Nine women contributed both paired NAF-serum and DLS-serum samples in separate years. Analyses examining PE and EM serum concentrations were restricted to the earliest serum sample from each woman (n = 37). However, each NAF or DLS was paired with a serum sample from the same time point. We also examined whether associations differed by NAF collection method. The proportions of various EM were calculated for each woman, and the averages of these proportions were reported. Confidence intervals for the ratios of PE and EM levels in NAF were computed by analyzing the paired differences of loge(PE) minus loge(EM). The ratios and their confidence intervals were obtained by exponentiation of the mean difference of the logarithms and its confidence interval. Likewise, the ratio and its confidence interval of total estrogen (TE) in DLS compared with serum were obtained from the paired differences in loge(TE) values. Because these are exploratory analyses within a pilot study, the alpha level was not adjusted for multiple comparisons. Probability values of <0.05 were considered statistically significant. All tests of significance were two-tailed. Analyses were performed using SAS software release 9.2 (SAS Institute Inc., Cary, NC, USA).
Results
The characteristics of the study participants are shown in Table 1. A total of 37 participants were included; 22 had paired NAF and serum measures (n = 16 BRCA1; n = 6 BRCA2) and 24 had paired DLS and serum measures (n = 16 BRCA1; n = 8 BRCA2). In general, characteristics of BRCA1/2 mutation carriers contributing paired NAF-serum samples were comparable to those with paired DLS-serum samples. Both groups had an average BMI of ~26 kg/m2 and an average age at menopause of ~42 years; the vast majority of study participants had undergone risk-reducing salpingo-oophorectomy (RRSO) and were in surgical menopause. Compared with those who contributed DLS, those from whom NAF was collected tended to be slightly older and less likely to be parous, to report ever breastfeeding, or to have had a breast biopsy. More detailed characteristics of subjects from whom either NAF or DLS samples were obtained have been reported previously [39].
Table 1.
Breast imaging study participants
| Patient characteristicsa | Nipple aspirate fluid (NAF)
|
Duct lavage supernatant (DLS)
|
||
|---|---|---|---|---|
|
BRCA1/2 (n = 22)
|
BRCA1/2 (n = 24)
|
|||
| Mean | SD | Mean | SD | |
| Age (years) | 46 | 6.9 | 43.7 | 5.8 |
| Range | 33–57 | 32–55 | ||
| Body mass indexb | 26.3 | 5.7 | 26.8 | 5.8 |
| Range | 20.0–39.9 | 20.1–43.7 | ||
| Age at menopause (years) | 42.9 | 4.8 | 42.1 | 5.4 |
| Range | 32.6–50.0 | 32–54 | ||
| Years since menopause | 3.1 | 3.1 | 1.8 | 2.7 |
| Range | 0.1–11.1 | 0.2–13.0 | ||
| n | %b | n | % | |
|---|---|---|---|---|
| Age at menarche (years) | ||||
| < 12 | 2 | 9.5 | 0 | 0 |
| 12–13 | 15 | 71.4 | 21 | 87.5 |
| ≥14 | 4 | 19.1 | 3 | 12.5 |
| Missing | 1 | |||
| Parous | ||||
| No | 8 | 36.4 | 3 | 12.5 |
| Yes | 14 | 63.6 | 21 | 87.5 |
| Breastfeeding | ||||
| Never | 12 | 54.6 | 6 | 25 |
| Ever | 10 | 45.5 | 18 | 75 |
| Menopausal status | ||||
| Postmenopausal, natural | 5 | 22.7 | 2 | 8.33 |
| Postmenopausal, surgical | 17 | 77.3 | 22 | 91.67 |
| Current oral contraceptives use | 0 | – | 0 | – |
| Current hormone therapy use | 1 | 4.6 | 0 | – |
| Current tamoxifen use | 0 | 0 | 2 | 8.33 |
| Breast biopsy prior to enrollment | ||||
| 0 | 14 | 63.6 | 13 | 54.17 |
| 1+ | 8 | 36.4 | 11 | 45.83 |
| Personal history of breast cancer | ||||
| No | 20 | 90.9 | 21 | 87.5 |
| Yes | 2 | 9.1 | 3 | 12.5 |
No statistically significant differences were observed between women from whom NAF or DLS was collected
Missing values were excluded from percentage calculations; Weight (kg)/height2 (m2)
The geometric mean [95 % confidence interval (CI)] for PE and EM concentrations in serum are shown in Table 2. Among the 37 postmenopausal BRCA1/2 mutation carriers contributing serum, 88 % of TE was conjugated. Unconjugated forms of the PE, as well as three of the 13 EM [(2-methoxyestrone (2-MeOE1), 2-methoxyestradiol (2-MeOE2), and estriol (E3)] could also be detected. On average, estrone (E1), the 2-hydroxylation pathway EM catechols, and E3 were detected in the highest concentrations.
Table 2.
Serum parent estrogens and estrogen metabolite measures
| Serum PE and EM |
BRCA1 (n = 27) + BRCA2 (n = 10)
|
|
|---|---|---|
| Serum
| ||
| Geometric mean concentrations (pmol/L)a | 95 % CI | |
| Parent estrogens (PE) | ||
| Estrone (E1) | 331.75 | 48.28–2,279.66 |
| Conjugated | 278.19 | 37.06–2,088.45 |
| Unconjugated | 44.92 | 7.91–255.01 |
| Estradiol (E2) | 42.52 | 2.94–615.30 |
| Conjugated | 30.15 | 1.72–527.04 |
| Unconjugated | 8.02 | 0.55–117.66 |
| 2-Hydroxylation pathway catechols | ||
| 2-Hydroxyestrone (2-OHE1) | 116.92 | 18.68–731.62 |
| 2-Hydroxyestradiol (2-OHE2) | 51.29 | 12.28–214.18 |
| 2-Hydroxylation pathway methylated catechols | ||
| 2-Methoxyestrone (2-MeOE1) | 30.59 | 5.32–175.91 |
| Conjugated | 19.75 | 2.54–153.61 |
| Unconjugated | 5.53 | 0.41–75.72 |
| 2-Methoxyestradiol (2-MeOE2) | 17.04 | 2.23–130.28 |
| Conjugated | 11 | 0.9–134.70 |
| Unconjugated | 3.98 | 0.77–20.57 |
| 2-Hydroxyestrone-3methly ether (3-MeOE1) | 7.4 | 1.35–40.52 |
| 4-Hydroxylation pathway catechols | ||
| 4-Hydroxyestrone (4-OHE1) | 22.6 | 4.38–116.60 |
| 4-Hydroxylation pathway methylated catechols | ||
| 4-Methoxyestrone (4-MeOE1) | 6.93 | 1.5–32.06 |
| 4-Methoxyestradiol (4-MeOE2) | 3.78 | 0.48–29.75 |
| 16-Hydroxylation pathway | ||
| 16α-Hydroxyestrone (16α-OHE1) | 22.36 | 5.62–88.94 |
| Estriol (E3) | 137.37 | 35.37–533.55 |
| Conjugated | 101.31 | 19.99–513.38 |
| Unconjugated | 22.67 | 3.06–168.21 |
| 17-Epiestriol (17-epiE3) | 4.61 | 0.65–32.77 |
| 16-Ketoestradiol (16-ketoE2) | 21.03 | 5.47–80.82 |
| Total estrogen (TE)b | 948.45 | 211.9–4,245.08 |
| Conjugated | 833.06 | 185.83–3,734.44 |
| Unconjugated | 102.8 | 18.7–565.03 |
The unconjugated and conjugated EM levels do not sum to the total because they are geometric means
Total estrogens (TE) = PE + EM
Table 3 shows the geometric mean levels of PE and EM in NAF, as well as the correlation between the PE and EM levels in NAF and serum. The geometric means of total PE and EM levels in NAF were about four times lower than those observed in serum (Fig. 2). In NAF, unlike serum, concentrations of 2-OHE1 and 2-OHE2 were highest (Fig. 2). Analyses of the paired difference in mean PE and EM values in NAF and serum yielded a ratio of 0.22 (95 % CI 0.19–0.25). In NAF, approximately 59 % of TE were conjugated (Table 3), compared with 88 % for serum (p < 0.001). Both PE and five EM were also present as unconjugated forms, including 2-hydroxyestrone (2-OHE1) and 2-hydroxyestradiol (2-OHE2), whose unconjugated forms were not detected in serum. The 2-hydroxylation pathway EM catechols constituted 42 % of the total NAF EM compared with 19 % for serum (p < 0.0001). The PE constituted 26 % of the total NAF estrogens compared with 46 % for serum (p < 0.0001). NAF and serum estrogen levels were highly correlated for PE and many EMs (Table 3), with the strongest correlations for E1 (r = 0.97, p < 0.0001), E2 (r = 0.90, p < 0.0001), and 2-OHE1 (r = 0.89, p < 0.0001). Geometric mean levels of estrogens in NAF and the correlation between estrogens in NAF and serum for the two NAF collection methods used in this study were similar (data not shown). As elaborated in the “Discussion” section, these high correlations suggest that serum measurements could serve as a good surrogate for NAF measurements. On the other hand, for some analytes, correlations were much lower.
Table 3.
Association between estrogens in nipple aspirate fluid and serum
| 0Estrogens in NAF and serum |
BRCA1/2 combined (n = 22) BRCA1 (n = 16); BRCA2 (n = 6)
|
|||||
|---|---|---|---|---|---|---|
| Serum
|
NAF
|
|||||
| Geometric mean (pmol/L)a | 95 % CI | Geometric mean (pmol/L)a | 95 % CI | Pearson’s r with loge(serum EM)
|
||
| r | p value | |||||
| Parent estrogens (PE) | ||||||
| Estrone (E1) | 388.11 | 39.09–3,853.75 | 36.01 | 1.01–1,284.54 | 0.97 | <0.0001 |
| Conjugated | 333.77 | 30.89–3,606.02 | 24.61 | 0.79–766.22 | 0.96 | <0.0001 |
| Unconjugated | 47.63 | 6.66–340.74 | 9.98 | 0.2–490.43 | 0.96 | <0.0001 |
| Estradiol (E2) | 51.30 | 2.61–1,009.28 | 10.91 | 1.21–98.07 | 0.90 | <0.0001 |
| Conjugated | 38.04 | 1.89–764.81 | 5.4 | 0.73–40.22 | 0.82 | <0.0001 |
| Unconjugated | 7.24 | 0.185–284.23 | 4.21 | 0.27–65.80 | 0.77 | <0.0001 |
| 2-Hydroxylation pathway catechols | ||||||
| 2-Hydroxyestrone (2-OHE1) | 124.31 | 21.77–709.90 | 46.76 | 6.52–335.36 | 0.89 | <0.0001 |
| Conjugated | c | 24.33 | 1.63–362.30 | |||
| Unconjugated | c | 18.15 | 5.08–64.89 | |||
| 2-Hydroxyestradiol (2-OHE2) | 57.73 | 11.51–289.70 | 40.18 | 9.01–179.25 | 0.75 | <0.0001 |
| Conjugated | c | 14.11 | 1.17–170.62 | |||
| Unconjugated | c | 22.09 | 8.63–56.55 | |||
| 2-Hydroxylation pathway methylated catechols | ||||||
| 2-Methoxyestrone (2-MeOE1) | 38.57 | 6.46–230.38 | 18.94 | 3.75–95.77 | 0.78 | <0.0001 |
| Conjugated | 23.71 | 3.97–141.45 | 9.4 | 0.76–116.83 | 0.63 | 0.002 |
| Unconjugated | 8.00 | 0.33–196.54 | 7.03 | 2.94–16.79 | 0.48 | 0.03 |
| 2-Methoxyestradiol (2-MeOe2) | 17.92 | 2.22–144.76 | 7.23 | 2.36–22.14 | 0.70 | 0.0003 |
| Conjugated | 11.11 | 2.22–149.42 | 2.85 | 0.57–14.25 | 0.30 | 0.17 |
| Unconjugated | 3.66 | 2.22–40.56 | 3.74 | 1.11–12.55 | 0.45 | 0.04 |
| 2-Hydroxyestrone-3methly ether (3- MeOe1) | 6.86 | 2.22–50.38 | ||||
| 4-Hydroxylation pathway catechols | ||||||
| 4-Hydroxyestrone (4-OHE1) | 24.06 | 5.08–114.03 | c | |||
| 4-Methoxyestrone (4-MeOE1) | 5.71 | 1.62–20.15 | c | |||
| 4-Methoxyestradiol (4-MeOE2) | 2.41 | 0.489–11.86 | c | |||
| 16-Hydroxylation pathway | ||||||
| 16α-Hydroxyestrone (16α -OHE1) | 24.14 | 7.62–76.45 | c | |||
| Estriol (E3) | 155.56 | 32.43–746.15 | 34.71 | 10.00–120.46 | 0.74 | <0.0001 |
| Conjugated | 117.98 | 17.03–817.54 | 28.01 | 5.40–145.41 | 0.68 | 0.0005 |
| Unconjugated | 117.98 | 1.6–190.95 | 4.79 | 1.52–15.08 | 0.08 | 0.72 |
| 17-Epiestriol (17-epiE3) | 117.98 | 0.85–40.12 | c | |||
| 16-Ketoestradiol (16-ketoE2) | 117.98 | 7.55–65.73 | c | |||
| 16-Epiestriol (16-epiE3) | 117.98 | 0.43–58.54 | c | |||
| Total estrogen (TE)b | 1,029.41 | 151.63–6,988.58 | 224.09 | 21.53–2,332.72 | 0.98 | <0.0001 |
| Conjugated | 900.46 | 130.86–6,196.11 | 127.49 | 9.34–1,741.28 | 0.96 | <0.0001 |
| Unconjugated | 111.57 | 14.35–867.37 | 86.02 | 9.50–779.26 | 0.92 | <0.0001 |
The unconjugated and conjugated EM levels do not sum to the total because they are geometric means
Total estrogens (TE) = PE + EM
Not detected
Fig. 2.
Geometric means of, and EM in serum and NAF (error bars = Standard deviation of the geometric means)
The geometric mean levels of the PE and EM in DLS and their correlations with serum estrogen are shown in Table 4. Total estrogen (TE) in DLS was about 11 times lower than that observed in serum, and about 2.5 times lower than those observed in NAF, most likely related to the dilution effect of ductal lavage. Analyses of the paired difference in log (TE) for DLS and serum yielded a ratio of TE in these two sources of 0.28 (95 % CI 0.24–0.32). In DLS, about 69 % of EM was conjugated. Similar to estrogens in NAF, both PE and five EM were present in their unconjugated form. The 2-hydroxylation pathway EM catechols comprised the overwhelming majority of DLS EM, constituting 66 % of the total DLS EM. Strong correlations were observed for E1, E2, and E3 between DLS and serum (r = 0.92, p < 0.0001; r = 0.70, p = 0.0001; r = 0.67, p = 0.0004, respectively). In contrast, the levels of 2-hydroxylation pathway EM catechols and the methylated catechols in DLS did not correlate with their serum counterparts. Correlations between serum and DLS EM (Table 4) tended to be weaker than those observed between serum and NAF EM (Table 3).
Table 4.
Association between estrogens in ductal lavage supernatant and serum
| Estrogens in DLS and serum |
BRCA1/2 combined (n = 24) BRCA1 (n = 16); BRCA2 (n = 8)
|
|||||
|---|---|---|---|---|---|---|
| Serum
|
DLS
|
|||||
| Geometric mean concentrations (pmol/L)a | 95 % CI | Geometric mean concentrations (pmol/L)a | 95 % CI | Pearson’s r with loge(serum EM)
|
||
| r | p value | |||||
| Parent estrogens (PE) | ||||||
| Estrone (E1) | 276.04 | 79.06–963.79 | 12.08 | 5.34–27.35 | 0.92 | <0.0001 |
| Conjugated | 228.39 | 59.63–874.68 | 8.98 | 3.69–21.83 | 0.90 | <0.0001 |
| Unconjugated | 38.80 | 11.38–132.31 | 2.83 | 1.016–7.89 | 0.93 | <0.0001 |
| Estradiol (E2) | 32.98 | 5.02–216.48 | 5.29 | 1.36–20.61 | 0.70 | 0.0001 |
| Conjugated | 22.13 | 2.27–215.54 | 3.07 | 0.50–18.88 | 0.40 | 0.05 |
| Unconjugated | 7.07 | 1.26–39.86 | 1.75 | 0.543–5.64 | 0.56 | 0.005 |
| 2-Hydroxylation pathway catechols | ||||||
| 2-Hydroxyestrone (2-OHE1) | 110.61 | 19.13–639.58 | 40.96 | 12.09–138.78 | −0.03 | 0.9 |
| Conjugated | c | 27.53 | 5.70–133.17 | |||
| Unconjugated | c | 11.07 | 3.12–39.26 | |||
| 2-Hydroxyestradiol (2-OHE2) | 45.59 | 14.83–140.17 | 16.06 | 5.28–48.87 | −0.05 | 0.83 |
| Conjugated | c | 12.03 | 2.93–49.40 | |||
| Unconjugated | c | 3.53 | 1.99–6.27 | |||
| 2-Hydroxylation pathway methylated catechols | ||||||
| 2-Methoxyestrone (2-MeOE1) | 23.32 | 5.62–96.82 | 2.95 | 0.34–25.99 | 0.10 | 0.64 |
| Conjugated | 16.08 | 2.19–118.14 | 2.12 | 0.13–34.90 | −0.01 | 0.96 |
| Unconjugated | 3.98 | 0.87–18.28 | 1.27 | 0.22–7.42 | 0.01 | 0.98 |
| 2-Methoxyestradiol (2-MeOe2) | 15.28 | 2.62–89.01 | 3.39 | 0.64–17.98 | 0.36 | 0.09 |
| Conjugated | 9.59 | 1–91.89 | 1.06 | 0.09–12.16 | 0.35 | 0.09 |
| Unconjugated | 3.99 | 0.94–16.83 | 1.97 | 0.41–9.40 | 0.50 | 0.01 |
| 2-Hydroxyestrone-3methly ether (3MeOe1) | 7.87 | 1.68–36.85 | c | |||
| 4-Hydroxylation pathway catechols | ||||||
| 4-Hydroxyestrone (4-OHE1) | 20.92 | 3.95–110.74 | c | |||
| 4-Hydroxylation pathway methylated catechols | ||||||
| 4-Methoxyestrone (4-MeOE1) | 8.31 | 1.60–43.12 | c | |||
| 4-Methoxyestradiol (4-MeOE2) | 5.27 | 0.76–36.41 | c | |||
| 16-hydroxylation pathway | c | |||||
| 16α-Hydroxyestrone (16α-OHE1) | 20.97 | 4.86–90.57 | ||||
| Estriol (E3) | 121.54 | 49.04–301.18 | 4.07 | 1.93–8.57 | 0.67 | 0.0004 |
| Conjugated | 86.22 | 28.21–263.51 | 1.32 | 0.29–5.96 | 0.47 | 0.02 |
| Unconjugated | 27.11 | 6.00–122.46 | 2.08 | 0.33–13.08 | 0.09 | 0.67 |
| 17-Epiestriol (17-epiE3) | 4.46 | 0.60–33.29 | c | |||
| 16-Ketoestradiol (16-ketoE2) | 20.42 | 4.68–89.00 | c | |||
| 16-Epiestriol (16-epiE3) | 2.25 | 0.27–18.97 | c | |||
| Total estrogen (TE)b | 833.58 | 387.60–1,792.72 | 86.9 | 28.43–265.57 | 0.83 | <0.0001 |
| Conjugated | 734.05 | 337.13–1,598.32 | 59.34 | 16.49–213.61 | 0.79 | <0.0001 |
| Unconjugated | 89.59 | 30.58–262.49 | 24.79 | 7.97–77.10 | 0.83 | <0.0001 |
The unconjugated and conjugated EM levels do not sum to the total because they are geometric means
Total estrogens (TE) = PE + EM
Not detected
Discussion
This report is the first to utilize LC/MS/MS to compare concentrations of estrogens and their metabolites in intra-breast fluids and serum. Our data demonstrate that both PE and EM can be reliably measured in these breast tissue-derived biospecimens (i.e., NAF and DLS). Further, our data are the first to demonstrate that circulating PE and EM strongly and positively correlate with their paired breast tissue counterparts measured in NAF and DLS among postmenopausal BRCA1/2 mutation carriers.
The circulating PE concentrations we observed were similar to those previously reported in postmenopausal women but the intra-breast hormone levels from both NAF and DLS samples were lower than prior reports. Two prior studies [24, 33] reported levels that were twofold to more than tenfold higher in the breast than in serum, using radioimmunoassys (RIA) to assess E1 and E2 levels in NAF among postmenopausal women. However, our population was younger (46 vs. 52 and 58 years [24]; [33], the majority were postmenopausal due to RRSO (not reported by prior groups), and all were BRCA1/2 mutation carriers. It is possible that having undergone RRSO and not using menopausal hormone therapy may have contributed to the lower levels of EM we observed within the breast. The one prior study [33, 41] evaluating estrogen concentration in DLS included both pre-and postmenopausal women and women using hormone therapy, which limits our ability to make direct comparisons of estrogen concentrations in DLS between studies. However, for DLS, the lower levels observed in our study may also be related to the irrigation of the duct during the breast ductal lavage, leading to dilution of the sample. Differences in the mean concentrations of estrogens and their metabolites across studies may also reflect different measurement methods (i.e., RIA [24, 33] vs. LC/MS/MS). In prior publications [24, 33], it is possible that lower levels of estrogens in NAF and DLS compared with serum provided the opportunity for a higher degree of cross reactivity to the antibodies used in the RIA assays. Since LC/MS/MS provides a direct measurement, the potential for cross reactivity in our study is limited. In comparing urine EM measurement by RIA or ELISA and by LC/MS/MS, geometric mean concentration of E1, E2, and E3 were 1.4–2.7 times higher (p < 0.0001) in postmenopausal women as detected by RIA compared with LC/MS/MS [42]. Geometric mean concentrations of 2-hyroxyestrone and 16α-hyroxyestrone were 2.7–11.8 times higher (p < 0.0001) by ELISA than LC/MS/MS in postmenopausal women, suggesting that RIA and ELISA are problematic in detecting the low concentrations of TE, PE, and EM which are characteristic of postmenopausal women [42]. Our DLS results demonstrate that LC/MS/MS can detect exceedingly low concentrations of EM in intra-breast fluids obtained by ductal lavage. Future research will focus on standardizing the DL collection method to account for the dilution effect.
Our observation that intra-mammary estrogens are strongly and positively correlated with those in the circulation contrasts with one prior report in 16 postmenopausal women that observed no correlation between estradiol and estrone levels in NAF and serum [24]. Those participants were of comparable BMI and somewhat older than our population (i.e., 52 vs. 46 years). We also observed stronger correlations between serum and NAF than we did for serum and DLS. This result could be due to several factors, such as local tissue catabolism and conjugation enzyme activities, individual human variation and variable dilution of DLS samples due to ductal irrigation.
To our knowledge, no study to date has measured EM concentrations in NAF or DLS and only a few have evaluated levels in serum using LC/MS/MS. In those studies [18, 33, 41], levels of E1, E3, and 2-hydroxyestrone comprised more than 70 % of the estrogens in circulation. Similarly, in our study, these EM accounted for more than 60 % of the serum estrogens. However, both the absolute and relative concentration of serum E3 was much lower in the BRCA1/2 mutation carriers (accounting for 14.5 %, compared with literature values of 30–40 %), while 2-hydroxyestrone was higher. Five of the PE and 13 EM were present in both the conjugated and unconjugated forms in serum (E1, E2, 2-MeOE1, 2-MeOE2, and E3), as previously reported [18]. In contrast to serum, the highest EM concentrations in NAF were observed for 2-hydroxyestrone and 2-hydroxyestradi-ol, followed by estrone and estriol. Unlike serum, both conjugated and unconjugated forms of these 2-hydroxyes-trogen metabolites were found in NAF (in approximately equal concentrations). Interestingly, except for E3, the mitogenic 16-pathway EM were not detected in NAF samples, nor were 4-hydroxy catechols. Results for DLS were comparable to NAF. This finding of different patterns of EM in ductal fluids compared to serum supports accruing evidence that estrogen synthesis and catabolism within the breast is a significant contributor to the local hormonal milieu which is not reflected in serum hormone concentrations, particularly in postmenopausal women.
Although NAF and serum estrogen levels were highly correlated, they were not perfectly so. If local estrogens more accurately reflect breast cancer risk when compared with serum estrogens, then we can use the observed correlations between NAF and serum PE and EM to inform our thinking about the design and interpretation of epidemiologic studies of circulating estrogens and breast cancer risk. If the NAF values come to be regarded as the gold standard exposure metric for the association between estrogen and breast cancer risk, and if the loge odds ratio of association loge(EM) in NAF with breast cancer is beta, then using serum loge(EM) measurements instead of NAF measurements will attenuate the loge odds ratio beta by a factor equal to the square of the correlation. This attenuation factor would be about 0.902 = 0.81 for E2 (Table 3) and about 0.302 = 0.090 for conjugated 2-MeOE2 (Table 3). The reciprocal of this attenuation factor is the factor by which the sample size for a study of serum EM would need to be increased to have the same power as a study of the “gold standard” NAF EM measurement. More data and larger studies are needed to obtain precise estimates of these correlations, which may give an important indication of the usefulness of serum measurements if the true biologic effect is mediated by EM levels in NAF and if loge odds ratios are linear in the logarithm of EM levels in NAF. It would be fair to say that the increase in sample size that would be required if serum rather than NAF measures of exposure were used would not be prohibitive for many of the estrogens in Table 3, because epidemiologic studies are typically large, and serum measurements are much easier and less expensive to obtain. Similar comments apply to DLS, but the correlations with serum levels tended to be smaller (Table 4).
Due to the small size of this pilot study, the results observed for specific EM need to be interpreted with caution and require replication in a larger sample of women. Despite our small sample size, this study is the first to have evaluated the association between circulating and intra-breast levels of estrogen among postmenopausal BRCA1/2 mutation carriers. Other estrogen metabolites (16α-OHE and 4 hydroxylation pathway EM), thought to be carcinogenic through their strong estrogenic or genotoxic properties, were detected in serum but neither in NAF (Fig. 2) nor in DLS. Furthermore, we were able to detect unconjugated forms of estrogen in the 2-hydroxylation pathway within NAF and DLS but not in serum, suggesting that this biologically active form of estrogen may be locally produced and may serve an important biological function that remains to be defined.
Conclusion
The ability to accurately detect and quantify estrogen metabolites would greatly enhance the use of these measures as biomarkers of breast cancer risk and to monitor the success of breast cancer prevention strategies. These pilot data provide evidence that accurate, reproducible measurement of exceedingly low EM concentrations within novel breast tissue fluids is achievable, and provide support for undertaking larger studies designed to determine whether serum levels of PE and EM are truly reflective of intra-breast levels, as our results suggest. Larger prospective studies with repeated samples will be required to confirm that circulating and/or intra-breast PE and EM comprise useful surrogate biomarkers of breast cancer risk. Future work should seek to confirm the relationships that have been demonstrated here, and to determine whether serum PE and EM levels could serve as a surrogate for intra-breast PE and EM levels.
Supplementary Material
Acknowledgments
The Breast Imaging Study (NCI Protocol #01-C-0009). We wish to thank Ruthann Giusti, Christine Mueller and Phuong L. Mai for clinical support; Phuong L. Mai for reviewing the manuscript; Nicole Dupree, Jason Hu, Beth Mittl, and Usha Singh for their help in data preparation. Special thanks to all our study participants; without whose cooperation this study could not have been done. This project was supported by the Intramural Research Program of the National Cancer Institute, by contracts NO2-CP-11019-50 and NO2-CP-65504-50 with Westat, Inc. and by a Molecular Epidemiology Award from the Division of Cancer Epidemiology and Genetics, National Cancer Institute. This project has been funded in whole or in part with Federal funds from the National Cancer Institute, National Institutes of Health, under Contract HHSN261200800001E. By acceptance of this article, the publisher or recipient acknowledges the right of the United States Government to retain a nonexclusive, royalty-free license and to any copyright covering the article. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organization imply endorsement by the United States Government.
Abbreviations
- BRCA1/2
Breast Cancer genes 1 and 2
- PE
Parent estrogen
- E1
Estrone
- E2
Estradiol
- E3
Estriol
- EM
Estrogen metabolites
- TE
Total estrogens, conjugated + unconjugated
- NAF
Nipple aspirate fluid
- DLS
Ductal lavage supernatant
- LC/MS/MS
Liquid chromatography–tandem mass spectrometry
- DNA
Deoxyribonucleic acid
- ER
Estrogen receptor
- NCI
National Cancer Institute
- BIS
Breast Imaging Study
- MRI
Magnetic resonance imaging
- IRB
Institutional Review Board
- 2-OHE1
2-Hydroxyestrone
- 2-MeOE1
2-Methoxyestrone
- 2-OHE2
2-Hydroxyestradiol
- 2-MeOE2
2-Methoxyestradiol
- 3-MeOE1
2-Hydroxyestrone-3-methyl ether
- 4-OHE1
4-Hydroxyestrone
- 4-MeOE1
4-Methoxyestrone
- 4-MeOE2
4-Methoxyestradiol
- 16α-OHE1
16α-Hydroxyestrone
- 17-epiE3
17-Epiestriol
- 16-ketoE2
16-Ketoestradiol
- 16-epiE3
16-Epiestriol
- SI-EM
Stable isotope-labeled estrogens
- Estrone-13C6
Estrone-13,14,15,16,17,18-13C6
- 17β-estradiol-13C6
17β-Estradiol-13,14,15,16,17, 18-13C6
- d3-E3
Estriol-2,4,17-d3
- d5-2-OHE2
2-Hydroxyestradiol-1,4,16,16,17-d5
- d5-2-MeOE2
2-Methoxyestradiol-1,4,16,16,17-d5
- d3-16-epiE3
16-Epiestriol-2,4,16-d3
- ICC
Intra-class correlation coefficients
- BMI
Body mass index
- RRSO
Risk reducing salpingo-oophorectomy
- SD
Standard deviation
- RIA
Radioimmunoassy
Footnotes
Electronic supplementary material The online version of this article (doi: 10.1007/s10549-013-2821-6) contains supplementary material, which is available to authorized users.
Conflict of interest The authors declare that they have no conflict of interest.
Contributor Information
Jennifer T. Loud, Email: loudj@mail.nih.gov, Clinical Genetics Branch (CGB), Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Room 6E536, Bethesda, MD 20850-9772, USA
Gretchen L. Gierach, Email: gierachg@mail.nih.gov, Hormonal and Reproductive Epidemiology Branch (HREB), Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Room 7E108, Bethesda, MD 20850-9774, USA
Timothy D. Veenstra, Email: veenstrat@mail.nih.gov, Laboratory of Proteomics and Analytical Technologies, Advanced Technology Program, SAIC Frederick, Inc., 1050 Boyles St., Bldg. 469/163, Frederick, MD 21702, USA. Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA
Roni T. Falk, Email: falkr@mail.nih.gov, Hormonal and Reproductive Epidemiology Branch (HREB), Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Room 7E108, Bethesda, MD 20850-9774, USA
Kathryn Nichols, Email: kathrynnichols@westat.com, WESTAT Corporation, 1450 Research Blvd., Rockville, MD 20850, USA.
Allison Guttmann, Email: allison.guttman@gmail.com, Clinical Genetics Branch (CGB), Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Room 6E536, Bethesda, MD 20850-9772, USA.
Xia Xu, Email: Xia.xu2@nih.gov, Laboratory of Proteomics and Analytical Technologies, Advanced Technology Program, SAIC Frederick, Inc., 1050 Boyles St., Bldg. 469/163, Frederick, MD 21702, USA. Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA.
Mark H. Greene, Email: greenem@mail.nih.gov, Clinical Genetics Branch (CGB), Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Room 6E536, Bethesda, MD 20850-9772, USA
Mitchell H. Gail, Email: gailm@mail.nih.gov, Biostatistics Branch (BB), Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, 7E138, Bethesda, MD 20850-9780, USA
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