help button home button Endocrine Society JCEM
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

Journal of Clinical Endocrinology & Metabolism , doi:10.1210/jc.2005-2378
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Submit a related Letter to the Editor
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Copyright Permission
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Lee, J. S.
Right arrow Articles by Cummings, S. R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Lee, J. S.
Right arrow Articles by Cummings, S. R.
Right arrowPubmed/NCBI databases
*Compound via MeSH
*Substance via MeSH
Hazardous Substances DB
*ESTRADIOL
Related Collections
Right arrow Female Endocrinology
The Journal of Clinical Endocrinology & Metabolism Vol. 91, No. 10 3791-3797
Copyright © 2006 by The Endocrine Society

Comparison of Methods to Measure Low Serum Estradiol Levels in Postmenopausal Women

Jennifer S. Lee, Bruce Ettinger, Frank Z. Stanczyk, Eric Vittinghoff, Vladimir Hanes, Jane A. Cauley, Walt Chandler, Jim Settlage, Mary S. Beattie, Elizabeth Folkerd, Mitch Dowsett, Deborah Grady and Steven R. Cummings

San Francisco Coordinating Center (J.S.L., S.R.C.), California Pacific Medical Center Research Institute, San Francisco, California 94107; Division of Endocrinology and Metabolism (J.S.L.), San Francisco General Hospital, Department of Epidemiology and Biostatistics and Women’s Health Clinical Research Center (E.V., D.G.), and Division of General Internal Medicine, Department of Medicine (M.S.B.), University of California, San Francisco, California 94143; Division of Research (B.E.), Kaiser Permanente Medical Care Program, Northern California, Oakland, California 94612; Departments of Obstetrics and Gynecology, and Preventive Medicine (F.Z.S.), University of Southern California Keck School of Medicine, Los Angeles, California 90033; Berlex Laboratories, Inc. (V.H.), Montville, New Jersey 07045; Department of Epidemiology (J.A.C.), University of Pittsburgh, Pittsburgh, Pennsylvania 15261; Esoterix Endocrinology Inc. (W.C.), Calabasas, California 91301; SFBC Taylor Technology (J.S.), Inc., Princeton, New Jersey 08540; and Department of Biochemistry (E.F., M.D.), Royal Marsden Hospital, London SW3 6JJ, United Kingdom

Address all correspondence and requests for reprints to: Jennifer S. Lee, M.D., Division of Endocrinology, Clinical Nutrition, and Vascular Medicine, University of California Davis Medical Center, 4150 V Street, Suite G400, Sacramento, California 95817. E-mail: catechols{at}gmail.com.


    Abstract
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Context: Accurate measurement of low serum estradiol (E2 < 30 pg/ml or < 110 pmol/liter) is needed to study relationships between endogenous E2 and risks of diseases in older women.

Objective: The objective of this study was to determine whether an extraction-based (indirect) assay or a non-extraction-based (direct) assay correlates better with mass spectrometry and body mass index (BMI).

Design/Setting: In a pilot study of 40 postmenopausal women, endogenous E2 measurements from three indirect and four direct assay methods and gas chromatography-tandem mass spectrometry (GC-MS/MS) were compared. A confirmatory study compared an indirect and a direct assay, selected among those in the pilot study, to GC-MS/MS; this study was conducted in 374 postmenopausal women not taking hormone therapy from the Ultra Low-dose TRansdermal estrogen Assessment (ULTRA) trial.

Main Outcomes: Pearson correlation coefficients among E2 measurements by assay methods and BMI, and their confidence intervals, by bias-corrected bootstrap method, were used.

Results: In the pilot study, E2 by three indirect assays correlated better (P < 0.03) with GC-MS/MS and with BMI than measurements by four direct assays. In the confirmatory study, the indirect assay correlated better (P < 0.01) with GC-MS/MS and BMI than the direct assay. Measurements by the indirect and direct assays were overestimated, but deviations in direct assay measurements were less precise. Mean E2 by the indirect and direct assays were higher (by 14 and 68%, respectively) and less reproducible than by GC-MS/MS.

Conclusion: Until mass spectrometry is practical for wide use, extraction-based indirect assays may be preferable for measuring low postmenopausal serum E2.


    Introduction
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
DISTINGUISHING SERUM ESTRADIOL (E2) levels within the low postmenopausal range, 0–30 pg/ml (0 to 110 pmol/liter), is an important tool for those studying risks of common diseases of older women, including osteoporosis, cognitive dysfunction, cardiovascular disease, and breast cancer (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12). However, most E2 assays were originally developed for use in younger women, with the range of interest exceeding 50 pg/ml (183 pmol/liter). When used clinically in older women, these assay methods have been required only to discriminate between postmenopausal and premenopausal levels in the 20- to 30-pg/ml range. E2 assays vary in accuracy and lack standardization at low postmenopausal levels (2, 13, 14, 15, 16, 17, 18). Recognizing the biological importance of discriminating low postmenopausal E2 levels, investigators are developing more accurate and sensitive assays (13, 14, 16, 17, 19).

Two major methods are widely used to measure E2: indirect and direct immunoassays. Several studies have compared performances of E2 assays for postmenopausal levels but typically for levels over 15 pg/ml (62.4 pmol/liter) (2, 13, 14, 16). Substantial disparity existed between measurements by direct and indirect assays in breast cancer patients who received aromatase inhibitor therapy, which lowers E2 levels to nearly zero (17). Indirect assays are typically RIAs that consist of an initial extraction step. In contrast, direct assays do not involve extraction, can be automated, and generally require less labor, specimen volume, and cost. Mass spectrometry is considered a reference standard for measuring serum E2 levels (14, 20).

This study’s objective was to compare E2 assay methods in their ability to measure low endogenous serum concentrations. First, we conducted a pilot study to compare E2 measurements by each of seven E2 assays (three indirect and four direct) with those by gas chromatography-tandem mass spectrometry (GC-MS/MS) and with body mass index (BMI), which shows a strong correlation with serum E2 in postmenopausal women (3, 21, 22, 23). Second, we confirmed findings from the pilot study using baseline sera collected from 374 women enrolled in a randomized clinical trial (18).


    Subjects and Methods
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Study populations

From the Study of Osteoporotic Fractures (SOF), we randomly selected 40 postmenopausal women who reported never having used hormone therapy. These 40 women comprised the population-based pilot study cohort. SOF is a prospective cohort study of women aged 65 yr or older who were recruited in 1986–1987 from four communities in the United States (24, 25). At the baseline examination, participants were instructed to adhere to a fat-free diet during the night before and the morning of the examination to minimize lipemia that may interfere with hormone assays. After blood was drawn between 0800 and 1400 h, serum immediately was frozen to –20 C. Within 2 wk, all samples were shipped to a central repository and stored in liquid nitrogen at –190 C until assays were performed. At baseline, history of hormone therapy was ascertained, and weight (in lightweight clothing without shoes) was measured using a balance-beam scale. BMI was defined as body weight in kilograms divided by height in meters squared. The appropriate institutional review boards approved the study, and prior written informed consent was obtained from all SOF participants.

The confirmatory study cohort was 374 postmenopausal women from the Ultra Low-dose TRansdermal estrogen Assessment (ULTRA), a randomized clinical trial of the effect of 2 yr of treatment with 0.014 mg/d of transdermal E2 on changes in bone density in 417 postmenopausal women aged 60–80 yr with normal bone density for age. The ULTRA trial design and main findings have been published (18). The confirmatory study participants were not taking hormone therapy, including low-dose estrogen, at baseline through yr 1. Fasting baseline and nonfasting 1-yr follow-up sera were available for hormone testing by three E2 assay methods. Aliquots were frozen at the clinical sites and sent to Biomedical Research Institute (Rockville, MD) for storage at –70 C. At baseline, weight and height were measured and BMI was calculated. ULTRA was funded by Berlex Laboratories (Montville, NJ), the manufacturer of Menostar, the transdermal E2 patch used in the trial. The institutional review board of each clinical center and the coordinating center approved the study protocol, and informed consent was obtained from all participants.

E2 assays

The pilot study measured E2 in baseline sera obtained from each of the 40 participants. Esoterix Endocrinology, Inc. (Calabasas, CA, and San Antonio, TX) performed all measurements using commercially available kits from four direct (non-extraction-based) assays obtained from the following suppliers: Diagnostic Products Corp. (Los Angeles, CA; DPC Double Antibody E2 Assay), Diagnostic Systems Laboratories (Webster, TX; DSL-4800 Ultrasensitive E2 RIA), Roche Diagnostics (Alameda, CA; Elecsys E2 Enzyme Immunoassay II), and Ortho-Clinical Diagnostics (Rochester, NY; Vitros). E2 measurements using three in-house indirect (extraction-based) RIAs were performed at their respective laboratories: Esoterix Endocrinology, Inc. (Esoterix E2 RIA), Royal Marsden Hospital (research laboratory of Mitch Dowsett; London, UK; Royal Marsden E2 RIA), and University of Southern California (research laboratory of Frank Z. Stanczyk; Los Angeles, CA; USC E2 RIA). GC-MS/MS, measured at SFBC Taylor Laboratories (Princeton, NJ), served as the reference assay. Reproducibilities of the DSL, DPC, and Vitros assays were measured on duplicate sera from a subset (of 20 women) due to scarcity of serum volume.

In the confirmatory study, E2 was measured by an indirect and a direct immunoassay method that correlated strongly with GC-MS/MS and BMI in the pilot study. Specifically, the direct (DPC Double Antibody E2 Assay) and the indirect assays (Royal Marsden E2 RIA) were compared with GS-MS/MS. Covance Central Laboratory Services Inc. (Indianapolis, IN) conducted the direct assay, and the research laboratory of Mitch Dowsett conducted the in-house indirect assay.

Each laboratory site performed the assays in a single batch and was blinded to the identification or characteristics of the subjects. For each assay, lower detection limit is defined as two SD values above the mean of replicates of the zero E2 standard. For the pilot study’s research focus on very low postmenopausal E2 levels, laboratories reported the measured values of the E2 concentrations that were below the calculated lower limit of detection (and typically reported as "undetectable"), except for levels measured by the Roche assay, in which automation made reporting at those levels impossible. Five Roche measurements reported as less than 5 pg/ml (<18 pmol/liter) were approximated to 2.5 pg/ml (9 pmol/liter) in our data analyses.

Indirect (extraction-based) assays

Esoterix’s total E2 RIA required 1.0 ml serum. Extraction and LH20 column chromatography preceded RIA (Esoterix). The intraassay CVs were 13.1% at a mean of 6.5 pg/ml (23.9 pmol/liter) and 5.5% at 28.6 pg/ml (105.0 pmol/liter). The interassay CV was 12% at 26 pg/ml (95 pmol/liter). Assay controls were human sera, and blanks were water. Each sample’s recovery was assessed using tritiated E2, and samples were corrected for losses; typical recovery was 85%. The reported functional sensitivity was 5 pg/ml (18 pmol/liter), which is the lowest E2 concentration measured for a spiked sample whose coefficient of variation is (CV) 20%. The lower detection limit was 2.0 pg/ml (7.3 pmol/liter).

Royal Marsden Hospital’s total E2 RIA required 0.5 ml serum. Extraction was performed with diethyl ether. E2 concentration was measured by competitive RIA using a highly specific rabbit antiserum raised against an E2-6-carboxymethyloxime-BSA conjugate (EIR, Wurenlingen, Switzerland) and E2-6-carboxymethyloxime-[2-125I]-iodohistamine (~2000 Ci/mmol; Amersham International, Buckinghamshire, UK). Recovery of more than 90% was determined in a separate set of samples in a previous study (26). The intraassay and interassay CVs at a mean of 7.3 pg/ml (27.0 pmol/liter) were 7.6 and 17%, respectively. The lower detection limit was 0.8 pg/ml (2.9 pmol/liter).

USC’s total E2 RIA used 0.8 ml serum, although the minimum volume required is 0.5 ml. Ethyl acetate/hexane (3:2) extraction and Celite column partition chromatography were performed before RIA quantification. Recovery of tritiated E2, which ranged from 73–86%, was used to correct observed E2 values. Intraassay CV was 7.9% at 34 pg/ml (124 pmol/liter), whereas interassay CVs were 8.0 and 12.0% at 16 pg/ml (58.7 pmol/liter) and 27 pg/ml (99.1 pmol/liter), respectively. The lower limit of detection was 1.8 pg/ml (6.6 pmol/liter).

Direct (non-extraction-based) assays

DPC’s Double Antibody E2 assay required 0.2 ml serum and was a competitive RIA that used rabbit antiserum. The intraassay CV was approximately 12% at 5 pg/ml (18 pmol/liter) and 5% at 20 pg/ml (73 pmol/liter). The interassay CV was not determined within the postmenopausal range. The lower detection limit was 1.4 pg/ml (5.1 pmol/liter).

DSL’s Ultrasensitive E2 RIA (DSL-4800) assay required 0.2 ml serum and was a double antibody competitive RIA. Goat antirabbit {gamma} globulin serum in a buffer of polyethylene glycol was the precipitating reagent. The intraassay and interassay CVs were 8.9 and 7.5%, respectively, at 5.3 pg/ml (19.5 pmol/liter). At 28 pg/ml (102.8 pmol/liter), the intra- and interassay CVs were 6.5 and 9.7%, respectively. The lower detection limit was 2.2 pg/ml (8.1 pmol/liter).

The Roche Elecsys E2 Enzyme Immunoassay (EIA) II, an electrochemiluminescence immunoassay, required 0.3 ml serum. The intraassay CV was 3.3% at 35.4 pg/ml (130 pmol/liter), and the interassay CV was 6.2% at 22.9 pg/ml (84.1 pmol/liter). The lower detection limit was 5 pg/ml (18 pmol/liter).

Ortho-Clinical Diagnostics’ Vitros assay required 0.07 ml of sample and was a competitive enzyme immunoassay, carried out with horseradish peroxidase-labeled E2 conjugate and a mixture of biotinylated antibodies (sheep and rabbit anti-E2). CVs were not available for E2 within the postmenopausal range. The lower detection limit of the assay was 2.7 pg/ml (10 pmol/liter).

GC-MS/MS

GC-MS/MS was performed by SFBC Taylor Technologies Inc. and required 1.0 ml serum (27, 28). Deuterated E2 was added to assess recovery. Bond Elut Certify solid-phase cartridges were used for extraction and ethyl acetate was the eluate. Two derivatizations were performed: 1) reaction with pentfluorobenzoyl chloride; and 2) reaction with N-methyl-N-(trimethylsilyl)-trifluoroacetamide. The derivatized analytes were separated by gas chromatography using a DB-17 fused silica capillary column and were detected by negative ionization tandem mass spectrometry. The instruments included a Finnigan (San Jose, CA) MAT mass spectrometer and a Varian (Palo Alto, CA) 3400 gas chromatography system. The validity of this method was assessed by examining intrarun precision and accuracy for calibration standards and quality control (27). Calibration standards and blanks were prepared in water. Quality-control pools were prepared by spiking with E2 above endogenous levels in human postmenopausal serum, and, for very low levels, postmenopausal serum was diluted with charcoal stripped serum and then spiked to approximate concentrations.

Based on data presented in abstract form and unpublished data provided by Taylor Technologies Inc. (27), control samples with an expected E2 concentration of 0.6 pg/ml (2.2 pmol/liter) showed measured mean concentration of 0.6 pg/ml (2.2 pmol/liter), with a CV of 15.8%. At an expected concentration of 2.1 pg/ml (7.7 pmol/liter), the measured concentration was 2.0 pg/ml and the intraassay CV was 17.8%. At an expected concentration of 3.9 pg/ml (14.3 pmol/liter), the measured mean concentration was 3.9 pg/ml and the intraassay CV was 9.0%. At an expected concentration of 26.1 pg/ml (95.8 pmol/liter), the measured concentration was 26.2 pg/ml and the intraassay CV was 3.1%. Recovery from water and charcoal stripped serum were consistent within a matrix and between two matrices. In control specimens ranging from 1.3 pg/ml (4.8 pmol/liter) to 40 pg/ml (147 pmol/liter), recovery ranged from 81–94%. The limit of detectability was 0.6 pg/ml (2.2 pmol/liter).

Statistical analyses

In the pilot study and confirmatory study, we computed Pearson correlation coefficients to evaluate how well, by each of the assays, E2 correlated with that by the reference standard GS-MS/MS and with BMI. Furthermore, to evaluate assay precision in the pilot study, replicate assays were performed in separate assays on 20 split serum specimens. Precision for the three assays used in the ULTRA study was calculated from paired measurements of E2 (at baseline and yr 1) by each assay method in each of 374 participants not on hormone therapy. We assumed that year-to-year levels of endogenous E2 would remain constant, on average, among these women.

Confidence intervals for correlations were computed using the bias-corrected percentile bootstrap method (29). The statistical significance of the differences between pair-wise correlations was based on approximate two-sided P values for the test of the null hypothesis of no difference, computed as twice the proportion of the 500 bootstrap samples for each pair-wise comparison in which the estimated difference did not exceed the null value of zero. P < 0.05 was considered statistically significant. All analyses were performed using SAS software, version 8.02 (SAS Institute, Inc., Cary, NC), and STATA version 8.0 (Stata Corp., College Station, TX).


    Results
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
In the pilot study, the 40 postmenopausal women had a median age of 71 yr (interquartile range, 68–75) and a median BMI of 26.4 kg/m2, with 30% exceeding 29 kg/m2. The median (interquartile range) of E2 for the reference GC-MS/MS assay was 3.8 pg/ml (13.9 pmol/liter; 1.1–18.5 pg/ml or 4.0–67.9 pmol/liter). Compared with GC-MS/MS, only the DPC assay had a lower median E2 (1.7 pg/ml or 6.3 pmol/liter). The DPC assay also showed the narrowest E2 range (interquartile range, 0.7–2.5 pg/ml or 2.6–9.2 pmol/liter). Of the remaining assays, the Royal Marsden Hospital indirect RIA had a median E2 of 6.5 pg/ml (23.8 pmol; interquartile range, 4.6–9.0 pg/ml or 16.9–33.0 pmol/liter), and the others had medians of about 11 pg/ml (40.4 pmol/liter), with results from the Vitros assay showing the highest median at 13 pg/ml (47.7 pmol/liter). Reproducibility studies for three of the assays tested showed high correlations between repeat specimens; interassay correlation coefficients were 0.94 for DPC, 0.97 for DSL, and 0.97 for Vitros.

Pearson correlation coefficients between GC-MS/MS and each of the seven assays ranged from a low of 0.57 (Roche) to a high of 0.94 (Royal Marsden). The three indirect assays showed higher correlations (Royal Marsden, 0.94; USC, 0.91; Esoterix, 0.88) with GC-MS/MS than the direct assays (DPC, 0.83; Vitros, 0.71; DSL, 0.70; Roche, 0.57). The average correlation coefficient of the three direct assays (0.70) was about 20% lower than the average correlation of the four indirect assays (0.91) (P < 0.03). None of the correlation coefficients were significantly different from one another across all assays in this pilot study. E2 measurements by the indirect assays tended to be higher than those by GC-MS/MS (Fig. 1Go). Each of the three indirect assays and GC-MS/MS correlated better with BMI than the direct assays (Fig. 2Go). Vitros and DSL assays were only weakly correlated with BMI (r = 0.25 and 0.27, respectively). Using body weight instead of BMI did not substantially alter these findings (data not shown). Based on correlations with GC-MS/MS and BMI, the direct assay by DPC appeared to perform better than the other direct assays.


Figure 1
View larger version (15K):
[in this window]
[in a new window]
 
FIG. 1. Pilot study scatter plots of E2 measurements (pg/ml) by seven indirect and direct assays and GC-MS/MS. GC-MS/MS by Esoterix RIA (A), Royal Marsden RIA (B), USC RIA (C), DPC (D), DSL (E), Roche (F), and Vitros (G). Line of identity and the data equation for the linear regression line are shown on each graph.

 

Figure 2
View larger version (9K):
[in this window]
[in a new window]
 
FIG. 2. Pilot study bar graphs of Pearson correlation coefficients between E2 measurements and BMI, according to E2 assay method. Asterisk indicates a statistically significant correlation at P < 0.05.

 
In the confirmatory study in ULTRA, E2 measurements by the Royal Marsden Hospital indirect RIA and the DPC direct assay were compared with those by GC-MS/MS and with BMI. The 374 postmenopausal women ranged in age from 60–80 yr, averaging 66.7 yr, and were not taking hormone therapy (Table 1Go). According to World Health Organization guidelines, 45% were osteopenic (t-score between –1 and –2.5), and only 15% were osteoporotic (t score < –2.5). On average, mean E2 based on the direct assay was 14% higher and based on the indirect assay was 68% higher than GC-MS/MS. Compared with the direct assay, the indirect assay correlated better with GC-MS/MS (r = 0.65 and 0.89, respectively, P < 0.01 for the difference in correlation coefficients; Fig. 3Go) and tended to systematically overestimate at higher E2 concentrations. The strength of correlations with BMI was nearly the same for the indirect assay and GC-MS/MS (Table 2Go). In contrast, the direct assay was less precise in overestimating E2 concentrations, and its correlation with BMI was nearly 50% lower than the GC-MS/MS-BMI correlation (P < 0.01 for the difference between the correlations with BMI for the direct and GC-MS/MS assays).


View this table:
[in this window]
[in a new window]
 
TABLE 1. Characteristics of 374 postmenopausal women enrolled in the confirmatory study

 

Figure 3
View larger version (17K):
[in this window]
[in a new window]
 
FIG. 3. Confirmatory study scatter plots of E2 measurements (pg/ml) by indirect assay, direct assay, and GC-MS/MS. A, GC-MS/MS by indirect assay; B, mass spectrometry by direct assay. Line of identity and the data equation for the linear regression line are shown on each graph.

 

View this table:
[in this window]
[in a new window]
 
TABLE 2. Pearson correlation coefficients and 95% confidence interval between E2 by different assay methods and BMI in the confirmatory study

 
Mean E2 measured by GS-MS/MS on sera obtained a year apart showed an apparent 0.5 pg/ml (1.8 pmol/liter) increase, with a SD of 2.2 pg/ml (8.1 pmol/liter). Results obtained using both the direct and indirect assays showed greater apparent change and greater variability [1.2 pg/ml (4.4 pmol/liter) ± 4.2 pg/ml (15.4 pmol/liter) and 1.1 pg/ml (4.0 pmol/liter) ± 3.7 pg/ml (13.6 pmol/liter), respectively] than GC-MS/MS. The changes in E2 levels by each assay method were not correlated with changes in BMI, ranging from a correlation coefficient of 0.01 for the direct assay to 0.03 for both the indirect assay and GC-MS/MS.


    Discussion
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
We find, in a large sample of postmenopausal women ith low E2, that indirect E2 assays correlate better with GC-MS/MS and BMI than direct assays. Indirect assay measurements systematically overestimate; as E2 level increases, the overestimation increases. Direct assay measurements overestimate at higher E2 levels with less precision. Endogenous serum E2 measurements obtained a year apart in older postmenopausal women off hormone therapy vary least when using the GC-MS/MS reference method compared with either the indirect or direct assays. Epidemiological studies require accurate and precise measurements of low postmenopausal E2 levels. The extraction step in indirect assays removes potentially interfering substances, particularly cross-reacting water-soluble steroid conjugates. A recent study shows that adding an extraction step to a direct assay kit rendered E2 results much more compatible with results from an indirect assay (17). Direct assays have several advantages in large epidemiological studies; they require less specimen volume and are less labor intensive, with technical approaches that lead to assay automation. This may be at the cost of accuracy due to nonspecific binding or ill-defined matrix effects. Measurements by direct assay kits also have been found to be highly variable (15). Assay calibration methods are unlikely to detect all calibration problems and may be a source of error.

In our pilot study, the mean and range of E2 values obtained by DPC’s Double Antibody direct assay were low compared with those obtained by GC-MS/MS, Royal Marsden Hospital’s indirect RIA, and the other assays. In contrast, the confirmatory study found that E2 values obtained by DPC’s assay were higher than those by GC-MS/MS but lower than those by Royal Marsden Hospital’s assay. These differences observed for DPC’s direct assay may be due to the fact that the pilot study consisted of only 40 women, whereas the confirmatory study included over six times more women. Different laboratories performed the DPC assay for the initial pilot and later validation study, DPC calibrators were not subjected to GC-MS/MS; and variations in the assay kits themselves may have occurred.

The present study has several limitations. We did not include all commonly used assay methods, newer chemiluminescence assays, or newer estrogen bioassays that have been reported to be sensitive in measuring postmenopausal E2 levels (19, 28). The reasons for overestimations by the indirect and direct assays are not known and deserve further study. Limited availability of serum specimens prevented us from performing more complete intra- or interassay reproducibility experiments for all assays. Difference in calibration standards across assays was not addressed. We assessed reproducibility by comparing E2 measurements a year apart in ULTRA participants. It cannot be ruled out that the observed differences in these assays’ measurements may be true biological change. The small changes in E2 levels did not correlate with changes in BMI and suggest that E2 concentration in late menopause is constant.

Mass spectrometry has been a reference standard for measuring both male and female sex hormones (14, 21, 30). In addition, Wang et al. (28) recently reported that a recombinant cell ultrasensitive estrogen bioassay correlated well with the same GC-MS/MS assay used in the present study. Even for low postmenopausal E2 concentrations, gas or liquid chromatography-mass spectrometry methods have been shown to be quite accurate (19, 23, 31). However, as with RIAs, many variables factor into the accuracy of mass spectrometry methods including standardizing reagents, procedures, and hardware. In the present study, a physiological correlate of estrogen, BMI, was also used to evaluate assay performance. Again, GC-MS/MS E2 showed the strongest correlation with this measure. Furthermore, findings using both GC-MS/MS and BMI reference measures were quite consistent, providing some reassurance of the conclusions. The present study is the first to directly compare several assay methods with mass spectrometry and a biological correlate within the very low E2 range. This study was blinded and used samples from well-characterized large cohorts. Clinical researchers and epidemiologists must be aware of the lack of standardization of E2 assays at low postmenopausal concentrations and should be wary of the variability in E2 measurements across different assays. Until mass spectrometry or an alternate method is practical for wide use to measure low E2 levels, it is difficult to decide which assay method to use. Whereas direct assays require less specimen volume and lend themselves to automation by excluding an initial extraction and purification step, their accuracy may suffer due to factors including ill-defined matrix effects or nonspecific binding. We conclude that studies of E2 in postmenopausal women should use indirect methods or mass spectrometry. Previous studies that relied on direct assays may have underestimated the relationships between endogenous hormones and other conditions in postmenopausal women.


    Acknowledgments
 
We thank SOF and ULTRA participants for their time, effort, and willingness to participate in scientific research. We thank Judy Quan for statistical input in the confirmatory study. We thank Li-Yung Lui for statistical support in the pilot study. We thank Richard Santen for invaluable input on the assay methodologies.


    Footnotes
 
Funding support was from Esoterix Inc. for the pilot study and from Berlex Laboratories for the confirmatory study.

Current address for J.S.L.: Division of Endocrinology, Clinical Nutrition, and Vascular Medicine, University of California Davis Medical Center, Sacramento, California 95817.

First Published Online August 1, 2006

Abbreviations: BMI, Body mass index; CV, coefficient of variation; DPC, Diagnostic Products Corp.; DSL, Diagnostic Systems Laboratories; E2, estradiol; GC-MS/MS, gas chromatography-tandem mass spectrometry; USC, University of Southern California.

Received October 31, 2005.

Accepted July 25, 2006.


    References
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 

  1. Cummings SR, Browner WS, Bauer D, Stone K, Ensrud K, Jamal S, Ettinger B 1998 Endogenous hormones and the risk of hip and vertebral fractures among older women. N Engl J Med 339:733–738[Abstract/Free Full Text]
  2. Key TJ, Endogenous Hormones Breast Cancer Collaborative Group 2003 Body mass index, serum sex hormones, and breast cancer risk in postmenopausal women. J Natl Cancer Inst 95:1218–1226[Abstract/Free Full Text]
  3. McTiernan A., Rajan KB, Tworager SS, Irwin M, Bernstein L, Baumgartner R, Gilliland F, Stanczyk FZ, Yasui Y, Ballard-Barbash R 2003 Adiposity and sex hormones in postmenopausal breast cancer survivors. J Clin Oncol 21:1961–1966[Abstract/Free Full Text]
  4. Cummings SR, Duong T, Kenyon E, Cauley JA, Whitehead M, Krueger KA 2002 Serum estradiol level and risk of breast cancer during treatment with raloxifene. JAMA 287:216–220[Abstract/Free Full Text]
  5. Chapurlat RD, Garnero P, Breart G, Muenier PH, Delmas PD 2000 Serum estradiol and sex hormone-binding globulin and the risk of hip fracture in elderly women: The EPIDOS Study. J Bone Miner Res 15:1835–1841[CrossRef][Medline]
  6. Garnero P, Sornay-Rendu E, Claustrat B, Delmas PD 2000 Biochemical markers of bone turnover, endogenous hormones, and the risk of fractures in postmenopausal women: The OFELY Study. J Bone Miner Res 15:1526–1536[CrossRef][Medline]
  7. Cauley JA, Lucas FL, Kuller LH, Stone K, Browner W, Cummings SR 1999 Elevated serum estradiol and testosterone concentrations are associated with a high risk of breast cancer. Ann Intern Med 130:270–277[Abstract/Free Full Text]
  8. Ettinger B, Pressman A, Sklarin P, Bauer DC, Cauley JA, Cummings SR 1998 Associations between low levels of serum estradiol, bone density, and fractures among elderly women: The Study of Osteoporotic Fractures. J Clin Endocrinol Metab 83:2239–2243[Abstract/Free Full Text]
  9. Leubrun CE, van der Schouw YT, de Jong FH, Pols HA, Grobbee DE, Lamberts SW 2005 Endogenous oestrogens are related to cognition in healthy elderly women. Clin Endocrinol (Oxf) 63:50–55[CrossRef][Medline]
  10. Cunningham CJ, Sinnott M, Denihan A, Rowan M, Walsh JB, O’Moore R, Coakley D, Coen RF, Lawler BA, O’Neill DD 2001 Endogenous sex hormone levels in postmenopausal women with Alzheimer’s disease. J Clin Endocrinol Metab 86:1099–1103[Abstract/Free Full Text]
  11. Yaffe K, Lui LY, Grady D, Cauley J, Kramer J, Cummings SR 2000 Cognitive decline in women in relation to non-protein-bound oestradiol concentrations. Lancet 356:708–712[CrossRef][Medline]
  12. Rexrode KM, Manson, JE, Lee I-M, Ridker PM, Sluss PM, Cook NR, Buring JE 2003 Sex hormone levels and risk of cardiovascular events in postmenopausal women. Circulation 108:1688–1693[Abstract/Free Full Text]
  13. Rinaldi S, Dechaud H, Biessy C, Morin-Raverot V, Toniolo P, Zeleniuch-Jacquotte A, Akhmedkhanov A, Shore RE, Secreto G, Ciampi A, Riboli E, Kaaks R 2001 Reliability and validity of commercially available, direct radioimmunoassays for measurement of blood androgens and estrogens in postmenopausal women. Cancer Epidemiol Biomark Prev 10:757–765[Abstract/Free Full Text]
  14. Thienpont LM, DeLeenheer AP 1998 Efforts by industry toward standardization of serum estradiol-17ß measurements. Clin Chem 44:671–673[Free Full Text]
  15. Stanczyk FZ, Cho MM, Endres DB, Morrison JL, Patel S, Paulson RJ 2003 Limitations of direct estradiol and testosterone immunoassay kits. Steroids 68:1173–1178[CrossRef][Medline]
  16. Yang DT, Owen WE, Ramsay CS, Xie H, Roberts WL 2004 Performance characteristics of eight estradiol immunoassays. Am J Clin Pathol 122:332–337[CrossRef][Medline]
  17. Dowsett M, Folkerd E 2005 Deficits in plasma oestradiol measurement in studies and management of breast cancer. Breast Cancer Res 7:1–4[Medline]
  18. Ettinger B, Ensrud KE, Wallace R, Johnson KC, Cummings SR, Yankov V, Vittinghoff E, Grady D 2004 Effects of ultralow-dose transdermal estradiol on bone mineral density: a randomized clinical trial. Obstet Gynecol 104:443–451[Medline]
  19. England BG, Parsons GH, Possley RM, McConnell DS, Midgley AR 2002 Ultrasensitive semiautomated chemiluminescent immunoassay for estradiol. Clin Chem 48:1584–1586[Free Full Text]
  20. Tai SS-C, Welch MJ 2005 Development and evaluation of a reference measurement procedure for the determination of estradiol-17ß in human serum using isotope-dilution liquid chromatography-tandem mass spectrometry. Anal Chem 77:6359–6363[Medline]
  21. Newcomb PA, Klein R, Klein BE, Haffner S, Mares-Perlman J, Cruickshanks KJ, Marcus PM 1995 Association of dietary and life-style factors with sex hormones in postmenopausal women. Epidemiology 6:318–321[Medline]
  22. Hankinson SE, Willett WC, Manson JE, Hunter DJ, Colditz GA, Stampfer MJ, Longcope C, Speizer FE 1995 Alcohol, height, and adiposity in relation to estrogen and prolactin levels in postmenopausal women. J Natl Cancer Inst 87:1297–1302[Abstract/Free Full Text]
  23. Kirchengast S 1994 Interaction between sex hormone levels and body dimensions in postmenopausal women. Hum Biol 66:481–494[Medline]
  24. Cauley JA, Lucas FL, Kuller LH, Vogt MT, Browner WS, Cummings SR 1996 Bone mineral density and risk of breast cancer in older women: the study of osteoporotic fractures. Study of Osteoporotic Fractures Research Group. JAMA 276:1404–1408[Abstract/Free Full Text]
  25. Cummings SR, Black DM, Nevitt MC 1990 Appendicular bone density and age predict hip fracture in women. The Study of Osteoporotic Fractures Research Group. JAMA 63:665–668
  26. Dowsett M, Goss PE, Powles TJ, Hutchinson G, Brodie AM, Jeffcoate SS, Coombes RC 1987 Use of the aromatase inhibitor 4-hydroxyandrostenedione in postmenopausal breast cancer: optimization of therapeutic dose and route. Cancer Res 47:1957–1961[Abstract/Free Full Text]
  27. Sundaram B, Settlage JA, Ohorodnik SK, Taylor PA, A combined GC/MS/MS and LC/MS/MS bioanalytical method for the quantification of estradiol, estrone, estrone-sulfate, testosterone and androstenedione. Proc 51st American Society for Mass Spectrometry Conference on Mass Spectrometry and Allied Topics, Montreal, Canada, 2003 (Abstract WPE086)
  28. Wang S, Paris F, Sultan CS, Song RX, Demers LM, Sundaram B, Settlage J, Ohorodnik S, Santen RJ 2005 Recombinant cell ultrasensitive bioassay for measurement of estrogens in postmenopausal women. J Clin Endocrinol Metab 90:1407–1413[Abstract/Free Full Text]
  29. Efron B, Tibshirani R 1993 An introduction to the bootstrap. London, New York: Chapman & Hall Ltd.
  30. Taieb J, Mathian B, Millot F, Patricot M-C, Mathieu E, Queyrel N, Lacroix I, Somma-Delpero C, Boudou P 2003 Testosterone measured by 10 immunoassays and by isotope-dilution gas chromatography-mass spectrometry in sera from 116 men, women, and children. Clin Chem 49:1381–1395[Abstract/Free Full Text]
  31. Nelson RE, Grebe SK, O’Kane DJ, Singh R 2004 Liquid chromatography-tandem mass spectrometry assay for simultaneous measurement of estradiol and estrone in human plasma. Clin Chem 50:373–384[Abstract/Free Full Text]



This article has been cited by other articles:


Home page
J. Clin. Endocrinol. Metab.Home page
A. Tivesten, L. Vandenput, F. Labrie, M. K. Karlsson, O. Ljunggren, D. Mellstrom, and C. Ohlsson
Low Serum Testosterone and Estradiol Predict Mortality in Elderly Men
J. Clin. Endocrinol. Metab., July 1, 2009; 94(7): 2482 - 2488.
[Abstract] [Full Text] [PDF]


Home page
Am J Clin PatholHome page
C. Ankarberg-Lindgren, E. Norjavaara, M. M. Kushnir, W. L. Roberts, A. L. Rockwood, J. Bergquist, A. M. Bunker, and A. W. Meikle
Are Estradiol Results Determined by the Tandem Mass Spectrometry Assay Clinically Useful for Children?
Am J Clin Pathol, May 1, 2009; 131(5): 746 - 750.
[Full Text] [PDF]


Home page
EndocrinologyHome page
P. Fan, W. Yue, J.-P. Wang, S. Aiyar, Y. Li, T.-H. Kim, and R. J. Santen
Mechanisms of Resistance to Structurally Diverse Antiestrogens Differ under Premenopausal and Postmenopausal Conditions: Evidence from in Vitro Breast Cancer Cell Models
Endocrinology, May 1, 2009; 150(5): 2036 - 2045.
[Abstract] [Full Text] [PDF]


Home page
JNCI J Natl Cancer InstHome page
S. R. Cummings, J. A. Tice, S. Bauer, W. S. Browner, J. Cuzick, E. Ziv, V. Vogel, J. Shepherd, C. Vachon, R. Smith-Bindman, et al.
Prevention of Breast Cancer in Postmenopausal Women: Approaches to Estimating and Reducing Risk
J Natl Cancer Inst, March 18, 2009; 101(6): 384 - 398.
[Abstract] [Full Text] [PDF]


Home page
J. Clin. Endocrinol. Metab.Home page
A. L. Eriksson, M. Lorentzon, L. Vandenput, F. Labrie, M. Lindersson, A.-C. Syvanen, E. S. Orwoll, S. R. Cummings, J. M. Zmuda, O. Ljunggren, et al.
Genetic Variations in Sex Steroid-Related Genes as Predictors of Serum Estrogen Levels in Men
J. Clin. Endocrinol. Metab., March 1, 2009; 94(3): 1033 - 1041.
[Abstract] [Full Text] [PDF]


Home page
J. Clin. Endocrinol. Metab.Home page
J. S. Lee, A. Z. LaCroix, L. Wu, J. A. Cauley, R. D. Jackson, C. Kooperberg, M. S. Leboff, J. Robbins, C. E. Lewis, D. C. Bauer, et al.
Associations of Serum Sex Hormone-Binding Globulin and Sex Hormone Concentrations with Hip Fracture Risk in Postmenopausal Women
J. Clin. Endocrinol. Metab., May 1, 2008; 93(5): 1796 - 1803.
[Abstract] [Full Text] [PDF]


Home page
Eur J EndocrinolHome page
C. Ankarberg-Lindgren and E. Norjavaara
A purification step prior to commercial sensitive immunoassay is necessary to achieve clinical usefulness when quantifying serum 17 -estradiol in prepubertal children
Eur. J. Endocrinol., January 1, 2008; 158(1): 117 - 124.
[Abstract] [Full Text] [PDF]


Home page
Cancer Epidemiol. Biomarkers Prev.Home page
F. Z. Stanczyk, J. S. Lee, and R. J. Santen
Standardization of Steroid Hormone Assays: Why, How, and When?
Cancer Epidemiol. Biomarkers Prev., September 1, 2007; 16(9): 1713 - 1719.
[Abstract] [Full Text] [PDF]


Home page
Endocr Relat CancerHome page
R. J Santen, N. F Boyd, R. T Chlebowski, S. Cummings, J. Cuzick, M. Dowsett, D. Easton, J. F Forbes, T. Key, S. E Hankinson, et al.
Critical assessment of new risk factors for breast cancer: considerations for development of an improved risk prediction model
Endocr. Relat. Cancer, June 1, 2007; 14(2): 169 - 187.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Submit a related Letter to the Editor
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Copyright Permission
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Lee, J. S.
Right arrow Articles by Cummings, S. R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Lee, J. S.
Right arrow Articles by Cummings, S. R.
Right arrowPubmed/NCBI databases
*Compound via MeSH
*Substance via MeSH
Hazardous Substances DB
*ESTRADIOL
Related Collections
Right arrow Female Endocrinology


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Endocrinology Endocrine Reviews J. Clin. End. & Metab.
Molecular Endocrinology Recent Prog. Horm. Res. All Endocrine Journals