Abstract
Menstrual and reproductive factors may increase breast cancer risk through a pathway that includes increased mammographic density. We assessed whether known or suspected menstrual and reproductive breast cancer risk factors were cross-sectionally associated with mammographic density, by measuring area of radiographic density and total breast area on mammograms from 801 participants in the Study of Women’s Health Across the Nation (SWAN), a multi-ethnic cohort of pre- and early perimenopausal women. From multivariable linear regression, the following menstrual or reproductive factors were independently associated with percent mammographic density (area of dense breast/breast area): older age at menarche (β = 10.3, P < 0.01, for >13 vs. <12 years), premenstrual cravings and bloating (β = −3.36, P = 0.02), younger age at first full-term birth (β = −8.12, P < 0.01 for ≤23 years versus no births), greater number of births (β = −6.80, P < 0.01 for ≥3 births versus no births), and premenopausal status (β = 3.78, P < 0.01 versus early perimenopausal). Only number of births remained associated with percent density after adjustment for age, race/ethnicity, study site, body mass index (BMI), and smoking. In addition, stratified analyses revealed that the association with number of births was confined to women within the lowest BMI tertile (β = −12.2, P < 0.01 for ≥3 births versus no births). Our data support a mechanism for parity and breast cancer that involves mammographic density among pre- and early perimenopausal women that may be modified by body size.
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Clemons M, Goss P (2001) Estrogen and the risk of breast cancer. N Engl J Med 344:276–285
Colditz GA (2005) Epidemiology and prevention of breast cancer. Cancer Epidemiol Biomarkers Prev 14:768–772
Kelsey JL, Gammon MD, John EM (1993) Reproductive factors and breast cancer. Epidemiol Rev 15:36–47
Pike MC, Spicer DV, Dahmoush L, Press MF (1993) Estrogens, progestogens, normal breast cell proliferation, and breast cancer risk. Epidemiol Rev 15:17–35
Backstrom T, Carstensen H (1974) Estrogen and progesterone in plasma in relation to premenstrual tension. J Steroid Biochem 5:257–260
Russo J, Moral R, Balogh GA, Mailo D, Russo IH (2005) The protective role of pregnancy in breast cancer. Breast Cancer Res 7:131–142
Russo J, Tay LK, Russo IH (1982) Differentiation of the mammary gland and susceptibility to carcinogenesis. Breast Cancer Res Treat 2:5–73
Boyd NF, Lockwood GA, Martin LJ, Byng JW, Yaffe MJ, Tritchler DL (2001) Mammographic density as a marker of susceptibility to breast cancer: a hypothesis. IARC Sci Publ 154:163–169
Boyd NF, Lockwood GA, Byng JW, Tritchler DL, Yaffe MJ (1998) Mammographic densities and breast cancer risk. Cancer Epidemiol Biomarkers Prev 7:1133–1144
Boyd NF, Lockwood GA, Martin LJ, Knight JA, Byng JW, Yaffe MJ, Tritchler DL (1998) Mammographic densities and breast cancer risk. Breast Dis 10:113–126
Byrne C, Schairer C, Wolfe J, Parekh N, Salane M, Brinton LA, Hoover R, Haile R (1995) Mammographic features and breast cancer risk: effects with time, age, and menopause status. J Natl Cancer Inst 87:1622–1629
Heng D, Gao F, Jong R, Fishell E, Yaffe M, Martin L, Li T, Stone J, Sun L, Hopper J, Boyd NF (2004) Risk factors for breast cancer associated with mammographic features in Singaporean Chinese women. Cancer Epidemiol Biomarkers Prev 13:1751–1758
Brisson J, Sadowsky NL, Twaddle JA, Morrison AS, Cole P, Merletti F (1982) The relation of mammographic features of the breast to breast cancer risk factors. Am J Epidemiol 115:438–443
Grove JS, Goodman MJ, Gilbert FI Jr, Mi MP (1985) Factors associated with mammographic pattern. Br J Radiol 58:21–25
Gapstur SM, Lopez P, Colangelo LA, Wolfman J, Van Horn L, Hendrick RE (2003) Associations of breast cancer risk factors with breast density in Hispanic women. Cancer Epidemiol Biomarkers Prev 12:1074–1080
Maskarinec G, Pagano I, Lurie G, Kolonel LN (2006) A longitudinal investigation of mammographic density: the multiethnic cohort. Cancer Epidemiol Biomarkers Prev 15:732–739
Modugno F, Ngo DL, Allen GO, Kuller LH, Ness RB, Vogel VG, Costantino JP, Cauley JA (2006) Breast cancer risk factors and mammographic breast density in women over age 70. Breast Cancer Res Treat 97:157–166
Ursin G, Ma H, Wu AH, Bernstein L, Salane M, Parisky YR, Astrahan M, Siozon CC, Pike MC (2003) Mammographic density and breast cancer in three ethnic groups. Cancer Epidemiol Biomarkers Prev 12:332–338
Maskarinec G, Pagano I, Lurie G, Wilkens LR, Kolonel LN (2005) Mammographic density and breast cancer risk: the multiethnic cohort study. Am J Epidemiol 162:743–752
McCormack VA, dos Santos Silva I, De Stavola BL, Perry N, Vinnicombe S, Swerdlow AJ, Hardy R, Kuh D (2003) Life-course body size and perimenopausal mammographic parenchymal patterns in the MRC 1946 British birth cohort. Br J Cancer 89:852–859
Gram IT, Funkhouser E, Tabar L (1995) Reproductive and menstrual factors in relation to mammographic parenchymal patterns among perimenopausal women. Br J Cancer 71:647–650
Boyd N, Martin L, Stone J, Little L, Minkin S, Yaffe M (2002) A longitudinal study of the effects of menopause on mammographic features. Cancer Epidemiol Biomarkers Prev 11:1048–1053
Sowers MF, Crawford S, Sternfeld B, Morgenstein D, Gold E, Greendale G, Evans D, Neer R, Matthews K, Sherman S, Lo A, Weiss G, Kelsey J (2000) SWAN: a multi-center, multi-ethnic, community-based cohort study of women and the menopausal transition. In: Lobo RA, Kelsey J, Marcus R (eds) Menopause: biology and pathobiology. Academic Press, New York, pp 175–188
Sowers MR, La Pietra MT (1995) Menopause: its epidemiology and potential association with chronic diseases. Epidemiol Rev 17:287–302
Dudley EC, Hopper JL, Taffe J, Guthrie JR, Burger HG, Dennerstein L (1998) Using longitudinal data to define the perimenopause by menstrual cycle characteristics. Climacteric 1:18–25
Brambilla DJ, McKinlay SM, Johannes CB (1994) Defining the perimenopause for application in epidemiologic investigations. Am J Epidemiol 140:1091–1095
Bromberger JT, Matthews KA, Kuller LH, Wing RR, Meilahn EN, Plantinga P (1997) Prospective study of the determinants of age at menopause. Am J Epidemiol 145:124–133
Gold EB, Bair Y, Block G, Greendale GA, Harlow SD, Johnson S, Kravitz HM, Rasor MO, Siddiqui A, Sternfeld B, Utts J, Zhang G (2007) Diet and lifestyle factors associated with premenstrual symptoms in a racially diverse community sample: Study of Women’s Health Across the Nation (SWAN). J Womens Health (Larchmt) 16:641–656
Wellings SR, Wolfe JN (1978) Correlative studies of the histological and radiographic appearance of the breast parenchyma. Radiology 129:299–306
Ursin G, Astrahan MA, Salane M, Parisky YR, Pearce JG, Daniels JR, Pike MC, Spicer DV (1998) The detection of changes in mammographic densities. Cancer Epidemiol Biomarkers Prev 7:43–47
Haiman CA, Bernstein L, Berg D, Ingles SA, Salane M, Ursin G (2002) Genetic determinants of mammographic density. Breast Cancer Res 4:R5
Boyd NF, Martin LJ, Yaffe MJ, Minkin S (2006) Mammographic density: a hormonally responsive risk factor for breast cancer. J Br Menopause Soc 12:186–193
Greendale GA, Palla SL, Ursin G, Laughlin GA, Crandall C, Pike MC, Reboussin BA (2005) The association of endogenous sex steroids and sex steroid binding proteins with mammographic density: results from the Postmenopausal Estrogen/Progestin Interventions Mammographic Density Study. Am J Epidemiol 162:826–834
Habel LA, Capra AM, Oestreicher N, Greendale GA, Cauley JA, Bromberger J, Crandall CJ, Gold EB, Modugno F, Salane M, Quesenberry C, Sternfeld B (2006) Mammographic density in a multiethnic cohort. Menopause 14(5):891–899
Haars G, van Noord PA, van Gils CH, Grobbee DE, Peeters PH (2005) Measurements of breast density: no ratio for a ratio. Cancer Epidemiol Biomarkers Prev 14:2634–2640
Vachon CM, Kuni CC, Anderson K, Anderson VE, Sellers TA (2000) Association of mammographically defined percent breast density with epidemiologic risk factors for breast cancer (United States). Cancer Causes Control 11:653–662
Titus-Ernstoff L, Tosteson AN, Kasales C, Weiss J, Goodrich M, Hatch EE, Carney PA (2006) Breast cancer risk factors in relation to breast density (United States). Cancer Causes Control 17:1281–1290
Hsieh CC, Trichopoulos D, Katsouyanni K, Yuasa S (1990) Age at menarche, age at menopause, height and obesity as risk factors for breast cancer: associations and interactions in an international case-control study. Int J Cancer 46:796–800
Butler LM, Potischman NA, Newman B, Millikan RC, Brogan D, Gammon MD, Swanson CA, Brinton LA (2000) Menstrual risk factors and early-onset breast cancer. Cancer Causes Control 11:451–458
Bassuk SS, Manson JE (2005) Epidemiological evidence for the role of physical activity in reducing risk of type 2 diabetes and cardiovascular disease. J Appl Physiol 99:1193–1204
Dorgan JF, Reichman ME, Judd JT, Brown C, Longcope C, Schatzkin A, Albanes D, Campbell WS, Franz C, Kahle L et al (1995) The relation of body size to plasma levels of estrogens and androgens in premenopausal women (Maryland, United States). Cancer Causes Control 6:3–8
Schmitt NM, Nicholson WK, Schmitt J (2007) The association of pregnancy and the development of obesity - results of a systematic review and meta-analysis on the natural history of postpartum weight retention. Int J Obes (Lond) 31(11):1642–1651
Campagne DM, Campagne G (2007) The premenstrual syndrome revisited. Eur J Obstet Gynecol Reprod Biol 130:4–17
Acknowledgements
We would like to thank SWAN participants, study staff, and personnel at contributing mammography facilities. This ancillary study was supported by National Cancer Institute Grant R01CA89552. Dr. Butler was supported by National Institute of Child Health and Human Development (NICHD), the Office of Research on Women’s Health (ORWH), the Office of Dietary Supplements (ODS), and the National Institute of Aging (NIA) (5K12HD051958). Dr. Crandall was supported by National Institute of Health Research Grant 5K12AG01004 from the National Institute on Aging. Dr. Modugno was supported by the National Cancer Institute Grant K07CA80668. The SWAN has grant support from the National Institutes of Health, DHHS, through the National Institute on Aging, the National Institute of Nursing Research and the NIH Office of Research on Women’s Health (Grants NR004061; AG012505, AG012535, AG012531, AG012539, AG012546, AG012553, AG012554, AG012495). Clinical Centers: University of Michigan, Ann Arbor—MaryFran Sowers, PI; Massachusetts General Hospital, Boston, MA—Robert Neer, PI 1994–1999; Joel Finkelstein, PI 1999–present; Rush University, Rush University Medical Center, Chicago, IL—Lynda Powell, PI; University of California, Davis/Kaiser—Ellen Gold, PI; University of California, Los Angeles—Gail Greendale, PI; University of Medicine and Dentistry—New Jersey Medical School, Newark—Gerson Weiss, PI 1994–2004; Nanette Santoro, PI 2004–present; and the University of Pittsburgh, Pittsburgh, PA—Karen Matthews, PI. NIH Program Office: National Institute on Aging, Bethesda, MD—Marcia Ory 1994–2001; Sherry Sherman 1994–present; National Institute of Nursing Research, Bethesda, MD—Program Officers. Central Laboratory: University of Michigan, Ann Arbor—Daniel McConnell; (Central Ligand Assay Satellite Services). Coordinating Center: New England Research Institutes, Watertown, MA—Sonja McKinlay, PI 1995–2001; University of Pittsburgh, Pittsburgh, PA—Kim Sutton-Tyrrell, PI 2001–present.
Steering Committee: Chris Gallagher, Chair; Susan Johnson, Chair.
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Butler, L.M., Gold, E.B., Greendale, G.A. et al. Menstrual and reproductive factors in relation to mammographic density: the Study of Women’s Health Across the Nation (SWAN). Breast Cancer Res Treat 112, 165–174 (2008). https://doi.org/10.1007/s10549-007-9840-0
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DOI: https://doi.org/10.1007/s10549-007-9840-0