Literature DB >> 9168003

Quantifying estrogen metabolism: an evaluation of the reproducibility and validity of enzyme immunoassays for 2-hydroxyestrone and 16alpha-hydroxyestrone in urine.

R G Ziegler1, S C Rossi, T R Fears, H L Bradlow, H Adlercreutz, D Sepkovic, P Kiuru, K Wahala, J B Vaught, J L Donaldson, R T Falk, C M Fillmore, P K Siiteri, R N Hoover, M H Gail.   

Abstract

Rapid and simple enzyme immunoassays (EIAs) were recently developed to measure 2-hydroxyestrone and 16alpha-hydroxyestrone in unextracted urine. The balance between these competing estrogen metabolism pathways may serve as a biomarker of breast cancer risk. Before testing these assays in epidemiologic studies, we evaluated their reproducibility, and validity relative to gas chromatography-mass spectroscopy (GC-MS). Overnight 12-hr urine collections from five midfollicular premenopausal women, five midluteal premenopausal women, and five postmenopausal women were aliquoted and stored at -70 degrees C. Two aliquots from each woman were assayed with the EIAs in a random, blinded order, monthly over 4 months and 1 year later. Reproducibility over 4 months was good for both metabolites in premenopausal women (coefficient of variation = 8-14%) and satisfactory in postmenopausal women (approximately 19%). Reproducibility over 12 months remained good in premenopausal women, but was poor in postmenopausal women, with mean readings increasing 50 to 100%. Wide variation in estrogen metabolite levels enabled a single EIA measurement to characterize individual differences among premenopausal women in midfollicular (intraclass correlation coefficient = 98-99%) and midluteal phase (85-91%). A narrower range in metabolite levels among postmenopausal women reduced discrimination (78-82%). The correlation between EIA and GC-MS measurement was excellent for both metabolites (r>0.9), except for 2-hydroxyestrone in postmenopausal women (r=0.6). Analysis of absolute agreement suggested that both EIAs were less sensitive than GC-MS, and each detected nonspecific background. The low concentration of estrogen metabolites in urine from postmenopausal women may explain the problems with reproducibility and validity in this menstrual group. Accordingly, more sensitive EIAs have been developed and are now being evaluated.

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Year:  1997        PMID: 9168003      PMCID: PMC1469903          DOI: 10.1289/ehp.97105s3607

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


  24 in total

1.  Urinary estrogen profile determination in young Finnish vegetarian and omnivorous women.

Authors:  H Adlercreutz; T Fotsis; C Bannwart; E Hämäläinen; S Bloigu; A Ollus
Journal:  J Steroid Biochem       Date:  1986-01       Impact factor: 4.292

Review 2.  Etiology of human breast cancer: a review.

Authors:  B MacMahon; P Cole; J Brown
Journal:  J Natl Cancer Inst       Date:  1973-01       Impact factor: 13.506

3.  Reproducibility studies and interlaboratory concordance for assays of serum hormone levels: estrone, estradiol, estrone sulfate, and progesterone.

Authors:  M H Gail; T R Fears; R N Hoover; D W Chandler; J L Donaldson; M B Hyer; D Pee; W V Ricker; P K Siiteri; F Z Stanczyk; J B Vaught; R G Ziegler
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  1996-10       Impact factor: 4.254

4.  Reduced estriol excretion in patients with breast cancer prior to endocrine therapy.

Authors:  H M Lemon; H H Wotiz; L Parsons; P J Mozden
Journal:  JAMA       Date:  1966-06-27       Impact factor: 56.272

5.  The multicomponent analysis of estrogens in urine by ion exchange chromatography and GC-MS--I. Quantitation of estrogens after initial hydrolysis of conjugates.

Authors:  T Fotsis; H Adlercreutz
Journal:  J Steroid Biochem       Date:  1987-08       Impact factor: 4.292

6.  Abnormal oxidative metabolism of estradiol in women with breast cancer.

Authors:  J Schneider; D Kinne; A Fracchia; V Pierce; K E Anderson; H L Bradlow; J Fishman
Journal:  Proc Natl Acad Sci U S A       Date:  1982-05       Impact factor: 11.205

7.  Estrogen profiles of premenopausal women with breast cancer.

Authors:  P Cole; D Cramer; S Yen; R Paffenbarger; B MacMahon; J Brown
Journal:  Cancer Res       Date:  1978-03       Impact factor: 12.701

8.  Diet and urinary estrogen profile in premenopausal omnivorous and vegetarian women and in premenopausal women with breast cancer.

Authors:  H Adlercreutz; T Fotsis; K Höckerstedt; E Hämäläinen; C Bannwart; S Bloigu; A Valtonen; A Ollus
Journal:  J Steroid Biochem       Date:  1989       Impact factor: 4.292

9.  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.

Authors:  H L Bradlow; R J Hershcopf; C P Martucci; J Fishman
Journal:  Proc Natl Acad Sci U S A       Date:  1985-09       Impact factor: 11.205

10.  The effect of a low fat diet on estrogen metabolism.

Authors:  C Longcope; S Gorbach; B Goldin; M Woods; J Dwyer; A Morrill; J Warram
Journal:  J Clin Endocrinol Metab       Date:  1987-06       Impact factor: 5.958

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  13 in total

Review 1.  Epidemiologic studies of estrogen metabolism and breast cancer.

Authors:  Regina G Ziegler; Barbara J Fuhrman; Steven C Moore; Charles E Matthews
Journal:  Steroids       Date:  2015-02-26       Impact factor: 2.668

2.  Circulating estrogen metabolites and risk of breast cancer in postmenopausal women.

Authors:  Alan A Arslan; Karen L Koenig; Per Lenner; Yelena Afanasyeva; Roy E Shore; Yu Chen; Eva Lundin; Paolo Toniolo; Göran Hallmans; Anne Zeleniuch-Jacquotte
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-04-27       Impact factor: 4.254

3.  Estrogen metabolism and mammographic density in postmenopausal women: a cross-sectional study.

Authors:  Barbara J Fuhrman; Louise A Brinton; Ruth M Pfeiffer; Xia Xu; Timothy D Veenstra; Barbara E Teter; Celia Byrne; Cher M Dallal; Maddalena Barba; Paola C Muti; Gretchen L Gierach
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-06-26       Impact factor: 4.254

Review 4.  Modulation of estrogen synthesis and metabolism by phytoestrogens in vitro and the implications for women's health.

Authors:  Majorie B M van Duursen
Journal:  Toxicol Res (Camb)       Date:  2017-09-08       Impact factor: 3.524

5.  Circulating estrogen metabolites and risk for breast cancer in premenopausal women.

Authors:  Alan A Arslan; Roy E Shore; Yelena Afanasyeva; Karen L Koenig; Paolo Toniolo; Anne Zeleniuch-Jacquotte
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-08       Impact factor: 4.254

6.  Estrogen metabolism and risk of breast cancer in postmenopausal women.

Authors:  Barbara J Fuhrman; Catherine Schairer; Mitchell H Gail; Jennifer Boyd-Morin; Xia Xu; Laura Y Sue; Saundra S Buys; Claudine Isaacs; Larry K Keefer; Timothy D Veenstra; Christine D Berg; Robert N Hoover; Regina G Ziegler
Journal:  J Natl Cancer Inst       Date:  2012-01-09       Impact factor: 13.506

7.  Preferential induction of cytochrome P450 1A1 over cytochrome P450 1B1 in human breast epithelial cells following exposure to quercetin.

Authors:  Sarah M Mense; Jaimeet Chhabra; Hari K Bhat
Journal:  J Steroid Biochem Mol Biol       Date:  2008-03-29       Impact factor: 4.292

8.  Comparison of liquid chromatography-tandem mass spectrometry, RIA, and ELISA methods for measurement of urinary estrogens.

Authors:  Jessica M Faupel-Badger; Barbara J Fuhrman; Xia Xu; Roni T Falk; Larry K Keefer; Timothy D Veenstra; Robert N Hoover; Regina G Ziegler
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-01       Impact factor: 4.254

9.  Circulating 2-hydroxy- and 16alpha-hydroxy estrone levels and risk of breast cancer among postmenopausal women.

Authors:  A Heather Eliassen; Stacey A Missmer; Shelley S Tworoger; Susan E Hankinson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-08       Impact factor: 4.254

10.  A liquid chromatography-mass spectrometry method for the simultaneous measurement of 15 urinary estrogens and estrogen metabolites: assay reproducibility and interindividual variability.

Authors:  Roni T Falk; Xia Xu; Larry Keefer; Timothy D Veenstra; Regina G Ziegler
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-12       Impact factor: 4.254

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