Literature DB >> 17260098

Serum prolactin levels are positively associated with mammographic density in postmenopausal women.

Gail A Greendale1, Mei-Hua Huang, Giske Ursin, Sue Ingles, Frank Stanczyk, Carolyn Crandall, Gail A Laughlin, Elizabeth Barrett-Connor, Arun Karlamangla.   

Abstract

BACKGROUND: Prolactin is a polypeptide hormone that promotes normal breast proliferation and differentiation, but it is also implicated in the development and growth of mammary tumors. Mammographic density is a strong, independent predictor of breast cancer and, therefore, a potential surrogate indicator of breast cancer risk.
METHODS: To test the hypothesis that serum prolactin is positively related to mammographic density, we conducted a cross-sectional analysis of baseline data from the Postmenopausal Estrogen/Progestin Interventions (PEPI) Mammographic Density Study. Based on prior work, we further hypothesized that this association would be apparent only in women who had not recently used postmenopausal hormone therapy (HT).
RESULTS: In linear regression models adjusted for age, body mass index, race, smoking, alcohol use, parity and physical activity, among the 400 women who were not recent users of HT, prolactin was positively and statistically significantly associated with mammographic density (Beta log base 2 prolactin 0.0369 [95% CI: 0.0094-0.0645]. Thus, for each doubling of serum prolactin, there was an absolute increase in mammographic density of 3.69%. Additional adjustment for serum levels of estradiol, progesterone, sex hormone binding globulin and age at first pregnancy did not affect this result. There was no association between prolactin and mammographic density among the 169 participants who had recently used HT.
CONCLUSION: The correspondence between higher prolactin and higher mammographic density is consistent with prolactin's mitogenic properties and the associations between prolactin and breast tumor promotion. These results support the thesis that prolactin deserves investigation as a target for breast cancer risk reduction.

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Year:  2007        PMID: 17260098     DOI: 10.1007/s10549-006-9454-y

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  25 in total

1.  Plasma prolactin level and risk of incident hypertension in postmenopausal women.

Authors:  Luxia Zhang; Gary C Curhan; John P Forman
Journal:  J Hypertens       Date:  2010-07       Impact factor: 4.844

Review 2.  Progesterone receptors (PR) mediate STAT actions: PR and prolactin receptor signaling crosstalk in breast cancer models.

Authors:  Katherine A Leehy; Thu H Truong; Laura J Mauro; Carol A Lange
Journal:  J Steroid Biochem Mol Biol       Date:  2017-04-23       Impact factor: 4.292

3.  Breast density, body mass index, and risk of tumor marker-defined subtypes of breast cancer.

Authors:  Amanda I Phipps; Diana S M Buist; Kathleen E Malone; William E Barlow; Peggy L Porter; Karla Kerlikowske; Ellen S O'Meara; Christopher I Li
Journal:  Ann Epidemiol       Date:  2012-02-25       Impact factor: 3.797

4.  Stiff collagen matrices increase tumorigenic prolactin signaling in breast cancer cells.

Authors:  Craig E Barcus; Patricia J Keely; Kevin W Eliceiri; Linda A Schuler
Journal:  J Biol Chem       Date:  2013-03-24       Impact factor: 5.157

5.  Mammographic density and breast cancer after ductal carcinoma in situ.

Authors:  Laurel A Habel; James J Dignam; Stephanie R Land; Martine Salane; Angela M Capra; Thomas B Julian
Journal:  J Natl Cancer Inst       Date:  2004-10-06       Impact factor: 13.506

Review 6.  Prolactin and breast cancer etiology: an epidemiologic perspective.

Authors:  Shelley S Tworoger; Susan E Hankinson
Journal:  J Mammary Gland Biol Neoplasia       Date:  2008-02-02       Impact factor: 2.673

7.  Antidepressant medications and change in mammographic density in postmenopausal women.

Authors:  Jessica Chubak; Erin J A Bowles; Mary Beth Terry; Amy Trentham-Dietz; Diana S M Buist
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-02-03       Impact factor: 4.254

8.  Obstetric history and mammographic density: a population-based cross-sectional study in Spain (DDM-Spain).

Authors:  Virginia Lope; Beatriz Pérez-Gómez; Carmen Sánchez-Contador; María Carmen Santamariña; Pilar Moreo; Carmen Vidal; Maria Soledad Laso; Maria Ederra; Carmen Pedraz-Pingarrón; Isabel González-Román; Milagros García-López; Dolores Salas-Trejo; Mercé Peris; María Pilar Moreno; Jose Antonio Vázquez-Carrete; Francisca Collado; Nuria Aragonés; Marina Pollán
Journal:  Breast Cancer Res Treat       Date:  2012-01-04       Impact factor: 4.872

9.  Immunoassay and Nb2 lymphoma bioassay prolactin levels and mammographic density in premenopausal and postmenopausal women the Nurses' Health Studies.

Authors:  Megan S Rice; Shelley S Tworoger; Kimberly A Bertrand; Susan E Hankinson; Bernard A Rosner; Yvonne B Feeney; Charles V Clevenger; Rulla M Tamimi
Journal:  Breast Cancer Res Treat       Date:  2014-12-13       Impact factor: 4.624

10.  Sex steroids, growth factors and mammographic density: a cross-sectional study of UK postmenopausal Caucasian and Afro-Caribbean women.

Authors:  Valerie A McCormack; Mitch Dowsett; Elizabeth Folkerd; Nichola Johnson; Claire Palles; Ben Coupland; Jeff M Holly; Sarah J Vinnicombe; Nicholas M Perry; Isabel dos Santos Silva
Journal:  Breast Cancer Res       Date:  2009-06-22       Impact factor: 6.466

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