Literature DB >> 19901118

Conjugated equine estrogen influence on mammographic density in postmenopausal women in a substudy of the women's health initiative randomized trial.

Anne McTiernan1, Rowan T Chlebowski, Christopher Martin, Jennifer David Peck, Aaron Aragaki, Etta D Pisano, C Y Wang, Karen C Johnson, Joann E Manson, Robert B Wallace, Mara Z Vitolins, Gerardo Heiss.   

Abstract

PURPOSE: Increased mammographic density is associated with increased breast cancer risk and reduced sensitivity of screening mammography and is related to hormone exposure. However, the effects of conjugated equine estrogens (CEEs) alone on mammographic density in diverse racial/ethnic populations are not established. We examined the effect of CEE alone on mammographic density in a subsample of the Women's Health Initiative (WHI) clinical trial participants. PATIENTS AND METHODS: In the WHI trial, women were randomly assigned to daily CEE 0.625 mg or placebo. The effect of CEE on mammographic percent density was determined over 1 and 2 years in a stratified random sample of 435 racially and ethnically diverse participants from 15 of 40 WHI clinics.
RESULTS: Use of CEE resulted in mean increase in mammographic percent density of 1.6 percentage points (95% CI, 0.8 to 2.4) at year 1 compared with a mean decrease of 1.0 percentage point (95% CI, -1.7 to -0.4) in the placebo group (P < .001). The effect persisted for 2 years, with a mean increase of 1.7 percentage points (95% CI, 0.7 to 2.7) versus a mean decrease of 1.2 percentage points (95% CI, -1.8 to -0.5; P < .001) in the hormone and placebo groups, respectively. These effects were greater in women age 60 to 79 years (P = .03 for interaction across age).
CONCLUSION: Use of CEE results in a modest but statistically significant increase in mammographic density that is sustained over at least a 2-year period. The clinical significance of the CEE effect on mammographic density remains to be determined.

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Year:  2009        PMID: 19901118      PMCID: PMC2793034          DOI: 10.1200/JCO.2008.21.7166

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  31 in total

1.  The Women's Health Initiative recruitment methods and results.

Authors:  Jennifer Hays; Julie R Hunt; F Allan Hubbell; Garnet L Anderson; Marian Limacher; Catherine Allen; Jacques E Rossouw
Journal:  Ann Epidemiol       Date:  2003-10       Impact factor: 3.797

2.  The detection of change in mammographic density.

Authors:  J Stone; A Gunasekara; L J Martin; M Yaffe; S Minkin; N F Boyd
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2003-07       Impact factor: 4.254

Review 3.  Mammographic densities and breast cancer risk.

Authors:  N F Boyd; G A Lockwood; J W Byng; D L Tritchler; M J Yaffe
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  1998-12       Impact factor: 4.254

4.  Mammographic density and estrogen receptor status of breast cancer.

Authors:  Elad Ziv; Jeffrey Tice; Rebecca Smith-Bindman; John Shepherd; Steven Cummings; Karla Kerlikowske
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2004-12       Impact factor: 4.254

5.  Design of the Women's Health Initiative clinical trial and observational study. The Women's Health Initiative Study Group.

Authors: 
Journal:  Control Clin Trials       Date:  1998-02

6.  Projecting individualized probabilities of developing breast cancer for white females who are being examined annually.

Authors:  M H Gail; L A Brinton; D P Byar; D K Corle; S B Green; C Schairer; J J Mulvihill
Journal:  J Natl Cancer Inst       Date:  1989-12-20       Impact factor: 13.506

7.  Effect of estrogen and estrogen-progestin replacement regimens on mammographic breast parenchymal density.

Authors:  I Persson; E Thurfjell; L Holmberg
Journal:  J Clin Oncol       Date:  1997-10       Impact factor: 44.544

8.  Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian National Breast Screening Study.

Authors:  N F Boyd; J W Byng; R A Jong; E K Fishell; L E Little; A B Miller; G A Lockwood; D L Tritchler; M J Yaffe
Journal:  J Natl Cancer Inst       Date:  1995-05-03       Impact factor: 13.506

9.  Mammographic features and breast cancer risk: effects with time, age, and menopause status.

Authors:  C Byrne; C Schairer; J Wolfe; N Parekh; M Salane; L A Brinton; R Hoover; R Haile
Journal:  J Natl Cancer Inst       Date:  1995-11-01       Impact factor: 13.506

10.  Polymorphisms in genes involved in estrogen and progesterone metabolism and mammographic density changes in women randomized to postmenopausal hormone therapy: results from a pilot study.

Authors:  Sarah J Lord; Wendy J Mack; David Van Den Berg; Malcolm C Pike; Sue A Ingles; Christopher A Haiman; Wei Wang; Yuri R Parisky; Howard N Hodis; Giske Ursin
Journal:  Breast Cancer Res       Date:  2005-02-23       Impact factor: 6.466

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  29 in total

1.  Conjugated equine oestrogen and breast cancer incidence and mortality in postmenopausal women with hysterectomy: extended follow-up of the Women's Health Initiative randomised placebo-controlled trial.

Authors:  Garnet L Anderson; Rowan T Chlebowski; Aaron K Aragaki; Lewis H Kuller; JoAnn E Manson; Margery Gass; Elizabeth Bluhm; Stephanie Connelly; F Allan Hubbell; Dorothy Lane; Lisa Martin; Judith Ockene; Thomas Rohan; Robert Schenken; Jean Wactawski-Wende
Journal:  Lancet Oncol       Date:  2012-03-07       Impact factor: 41.316

2.  Breast cancer risk by breast density, menopause, and postmenopausal hormone therapy use.

Authors:  Karla Kerlikowske; Andrea J Cook; Diana S M Buist; Steve R Cummings; Celine Vachon; Pamela Vacek; Diana L Miglioretti
Journal:  J Clin Oncol       Date:  2010-07-19       Impact factor: 44.544

3.  Methods for assessing and representing mammographic density: an analysis of 4 case-control studies.

Authors:  Christy G Woolcott; Shannon M Conroy; Chisato Nagata; Giske Ursin; Celine M Vachon; Martin J Yaffe; Ian S Pagano; Celia Byrne; Gertraud Maskarinec
Journal:  Am J Epidemiol       Date:  2013-10-11       Impact factor: 4.897

4.  Predictors of breast density change after hormone therapy cessation: results from a randomized trial.

Authors:  Sarah J Lowry; Erin J Aiello Bowles; Melissa L Anderson; Diana S M Buist
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-08-03       Impact factor: 4.254

5.  Mammographic density changes following discontinuation of tamoxifen in premenopausal women with oestrogen receptor-positive breast cancer.

Authors:  Won Hwa Kim; Nariya Cho; Young-Seon Kim; Ann Yi
Journal:  Eur Radiol       Date:  2018-04-06       Impact factor: 5.315

Review 6.  Postmenopausal hormone therapy and breast cancer risk: current status and unanswered questions.

Authors:  Wendy Y Chen
Journal:  Endocrinol Metab Clin North Am       Date:  2011-07-12       Impact factor: 4.741

7.  Awareness of breast density and its impact on breast cancer detection and risk.

Authors:  Deborah J Rhodes; Carmen Radecki Breitkopf; Jeanette Y Ziegenfuss; Sarah M Jenkins; Celine M Vachon
Journal:  J Clin Oncol       Date:  2015-03-02       Impact factor: 44.544

Review 8.  Changing concepts: Menopausal hormone therapy and breast cancer.

Authors:  Rowan T Chlebowski; Garnet L Anderson
Journal:  J Natl Cancer Inst       Date:  2012-03-16       Impact factor: 13.506

9.  Estrogen alone in postmenopausal women and breast cancer detection by means of mammography and breast biopsy.

Authors:  Rowan T Chlebowski; Garnet Anderson; JoAnn E Manson; Mary Pettinger; Shagufta Yasmeen; Dorothy Lane; Robert D Langer; F Allan Hubbell; Anne McTiernan; Susan Hendrix; Robert Schenken; Marcia L Stefanick
Journal:  J Clin Oncol       Date:  2010-05-03       Impact factor: 44.544

10.  Genetic variation in the estrogen metabolic pathway and mammographic density as an intermediate phenotype of breast cancer.

Authors:  Jingmei Li; Louise Eriksson; Keith Humphreys; Kamila Czene; Jianjun Liu; Rulla M Tamimi; Sara Lindström; David J Hunter; Celine M Vachon; Fergus J Couch; Christopher G Scott; Pagona Lagiou; Per Hall
Journal:  Breast Cancer Res       Date:  2010-03-09       Impact factor: 6.466

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