A Longitudinal Investigation of Mammographic Density: The Multiethnic Cohort

Cancer Epidemiology Biomarkers and Prevention - Tập 15 Số 4 - Trang 732-739 - 2006
Gertraud Maskarinec1, Ian Pagano2, Galina Lurie2, Laurence N. Kolonel2
1Cancer Research Center of Hawaii, Honolulu, 96813,USA. [email protected]
2Cancer Research Center of Hawaii, Honolulu, Hawaii

Tóm tắt

AbstractMammographic densities are hypothesized to reflect the cumulative exposure to risk factors that influence breast cancer incidence. This report analyzed percent densities over time and explored predictors of density change in relation to age. The study population consisted of 607 breast cancer cases and 667 frequency matched controls with 1,956 and 1,619 mammographic readings, respectively. Mammograms done over >20 years and before a diagnosis of breast cancer were assessed for densities using a computer-assisted method. Using multilevel modeling to allow for repeated measurements, we estimated the effect of ethnicity, case status, reproductive characteristics, hormonal therapy, body mass index, and soy intake on initial status and longitudinal change. After integrating the area under the percent density curve, cumulative percent density was compared with age-specific breast cancer rates in Hawaii. Percent densities decreased ∼5.6% per 10 years but a nonlinear effect indicated a faster decline earlier in life. Cumulative percent densities and age-specific breast cancer rates increased at very similar rates; both standardized regression coefficients were >0.9. Japanese ancestry, overweight, estrogen/progestin treatment, and, to a lesser degree, estrogen-only therapy predicted a slower decline in densities with age. Case status and adult soy intake were related to higher densities whereas overweight and having any child were associated with lower densities at initial status. Risk factors that influence the decline in mammographic densities over time may be important for breast cancer prevention because cumulative percent densities may reflect the age-related increase in breast cancer risk. (Cancer Epidemiol Biomarkers Prev 2006;15(4):732–9)

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Tài liệu tham khảo

Kelsey JL, Gammon MD. The epidemiology of breast cancer. CA Cancer J Clin 1991;41:146–65.

Henderson BE, Pike MC, Bernstein L, Ross RK. Breast cancer. In: Schottenfeld D, editor. Cancer epidemiology and prevention. New York: Oxford University Press; 1996. p. 1022–39.

Boyd NF, Lockwood GA, Byng JW, Tritchler DL, Yaffe MJ. Mammographic densities and breast cancer risk. Cancer Epidemiol Biomarkers Prev 1998;7:1133–44.

Gail MH, Benichou J. Assessing the risk of breast cancer in individuals. In: DeVita VTJ, editor. Cancer prevention. Philadelphia: JB Lippincott; 1992. p. 1–15.

Vachon CM, Kuni CC, Anderson K, Anderson VE, Sellers TA. Association of mammographically defined percent breast density with epidemiologic risk factors for breast cancer (United States). Cancer Causes Control 2000;11:653–62.

El Bastawissi AY, White E, Mandelson MT, Taplin SH. Reproductive and hormonal factors associated with mammographic breast density by age (United States). Cancer Causes Control 2000;11:955–63.

Maskarinec G, Meng L, Ursin G. Ethnic differences in mammographic densities. Int J Epidemiol 2001;30:959–65.

Boyd NF, Lockwood GA, Martin LJ, Byng JW, Yaffe MJ, Tritchler DL. Mammographic density as a marker of susceptibility to breast cancer: a hypothesis. IARC Sci Publ 2001;154:163–9.

Pike MC, Krailo MD, Henderson BE, Casagrande JT, Hoel DG. “Hormonal” risk factors, “breast tissue age” and the age-incidence of breast cancer. Nature 1983;303:767–70.

Boyd N, Martin L, Stone J, Little L, Minkin S, Yaffe M. A longitudinal study of the effects of menopause on mammographic features. Cancer Epidemiol Biomarkers Prev 2002;11:1048–53.

Maskarinec G, Takata Y, Franke AA, Williams AE, Murphy SP. A 2-year soy intervention in premenopausal women does not change mammographic densities. J Nutr 2004;134:3089–94.

Boyd NF, Greenberg C, Lockwood G, et al. Effects at two years of a low-fat, high-carbohydrate diet on radiologic features of the breast: results from a randomized trial. J Natl Cancer Inst 1997;89:488–96.

Freedman M, San Martin J, O'Gorman J, et al. Digitized mammography: a clinical trial of postmenopausal women randomly assigned to receive raloxifene, estrogen, or placebo. J Natl Cancer Inst 2001;93:51–6.

Greendale GA, Reboussin BA, Slone S, Wasilauskas C, Pike MC, Ursin G. Postmenopausal hormone therapy and change in mammographic density. J Natl Cancer Inst 2003;95:30–7.

van Gils CH, Hendriks JH, Holland R, et al. Changes in mammographic breast density and concomitant changes in breast cancer risk. Eur J Cancer Prev 1999;8:509–15.

Maskarinec G, Pagano I, Lurie G, Wilkens LR, Kolonel LN. Mammographic density and breast cancer risk: The Multiethnic Cohort. Am J Epidemiol 2005;162:743–52.

Kolonel LN, Henderson BE, Hankin JH, et al. A multiethnic cohort in Hawaii and Los Angeles: baseline characteristics. Am J Epidemiol 2000;151:346–57.

Byng JW, Boyd NF, Fishell E, Jong RA, Yaffe MJ. The quantitative analysis of mammographic densities. Phys Med Biol 1994;39:1629–38.

Stone J, Gunasekara A, Martin LJ, Yaffe M, Minkin S, Boyd NF. The detection of change in mammographic density. Cancer Epidemiol Biomarkers Prev 2003;12:625–30.

McKinney KA, Thompson W. A practical guide to prescribing hormone replacement therapy. Drugs 1998;56:49–57.

Goldstein H. Multilevel statistical models. 3rd ed. New York: Halstead Press; 2003.

Hox JJ. Multilevel analysis: Techniques and applications. Mahwah (NJ): Lawrence Erlbaum Associates; 2002.

Raudenbush SW, Bryk AS. Hierarchical linear models: Applications and data analysis methods. London: Sage Publications; 2002.

Singer JD, Willett JB. Applied longitudinal data analysis: Modeling change and event occurrence. Oxford: Oxford University Press; 2003.

Littell RC, Milliken GA, Stroup WW, Wolfinger RD. SAS system for mixed models. Cary (NC): SAS Institute Inc.; 1996.

SAS Institute, Inc. SAS OnlineDoc 9.1.2. Cary (NC): SAS Institute, Inc.; 2004.

Pike MC, Kolonel LN, Henderson BE, et al. Breast cancer in a multiethnic cohort in Hawaii and Los Angeles: risk factor-adjusted incidence in Japanese equals and in Hawaiians exceeds that in whites. Cancer Epidemiol Biomarkers Prev 2002;11:795–800.

Surveillance EaERSP. SEER*Stat Database: Incidence—SEER 9 Regs Public-Use, Nov 2003 Sub (1973-2001), National Cancer Institute, DCCPS, Surveillance Research Program, Cancer Statistics Branch, based on the November 2003 submission. 4-1-2004; http://www.seer.cancer.gov. Accessed on 10-10-2005.

Surveillance Research Program NCI. SEER*Stat software version 5.2.2. Bethesda: National Institutes of Health, 2005; http://www.seer.cancer.gov/seerstat. Accessed on 10-10-2005.

Littell RC, Freund RJ, Spector PC. SAS system for linear models. Cary (NC): SAS Institute, Inc.; 1991.

Ries LAG, Eisner MP, Kosary CL, et al. SEER Cancer Statistics Review, 1975-2002. Bethesda (MD): National Cancer Institute; 2005; http://seer.cancer.gov/csr/1975_2002/. Accessed on 7-14-2005.

American Cancer Society, Cancer Research Center of Hawaii, Hawaii Department of Health. Hawaii cancer facts and figures 2003-2004. American Cancer Society; 2004.

Benichou J, Byrne C, Capece LA, et al. Secular stability and reliability of measurements of the percentage of dense tissue on mammograms. Cancer Detect Prev 2003;27:266–74.

Sterns EE, Zee B. Mammographic density changes in perimenopausal and postmenopausal women: is effect of hormone replacement therapy predictable? Breast Cancer Res Treat 2000;59:125–32.

American College of Radiology. Breast imaging reporting and data system (BI-RADS). Reston (VA): American College of Radiology; 1993.

Laya MB, Gallagher JC, Schreiman JS, Larson EB, Watson P, Weinstein L. Effect of postmenopausal hormonal replacement therapy on mammographic density and parenchymal pattern. Radiology 1995;196:433–7.

Shimizu H, Ross RK, Bernstein L, Yatani R, Henderson BE, Mack TM. Cancers of the prostate and breast among Japanese and white immigrants in Los Angeles County. Br J Cancer 1991;63:963–6.

Boyd NF, Lockwood GA, Byng JW, Little LE, Yaffe MJ, Tritchler DL. The relationship of anthropometric measures to radiological features of the breast in premenopausal women. Br J Cancer 1998;78:1233–8.

Le Marchand L, Kolonel LN, Earle ME, Mi MP. Body size at different periods of life and breast cancer risk. Am J Epidemiol 1988;128:137–52.

Salminen TM, Saarenmaa IE, Heikkila MM, Hakama M. Unfavourable change in mammographic patterns and the breast cancer risk factors. Breast Cancer Res Treat 1999;57:165–73.

Myles JP, Salmininen T, Duffy SW, Prevost TC, Day NE, Hakama M. Prospective estimation of rates of change in mammographic parenchymal patterns: influence of age and of hormone replacement therapy. Breast 2004;13:56–60.

Maskarinec G, Nagata C, Shimizu H, Kashiki Y. Comparison of mammographic densities and their determinants in women from Japan and Hawaii. Int J Cancer 2002;102:29–33.

Chen Z, Wu AH, Gauderman WJ, et al. Does mammographic density reflect ethnic differences in breast cancer incidence rates? Am J Epidemiol 2004;159:140–7.

Haars G, Van Noord PA, van Gils CH, Grobbee DE, Peeters PH. Measurements of breast density: no ratio for a ratio. Cancer Epidemiol Biomarkers Prev 2005;14:2634–40.

Boyd NF, Stone J, Martin LJ, et al. The association of breast mitogens with mammographic densities. Br J Cancer 2002;87:876–82.

Boyd NF, McGuire V. Evidence of lipid peroxidation in premenopausal women with mammographic densities. Cancer Lett 1990;50:31–7.

Prevrhal S, Shepherd JA, Smith-Bindman R, Cummings SR, Kerlikowske K. Accuracy of mammographic breast density analysis: results of formal operator training. Cancer Epidemiol Biomarkers Prev 2002;11:1389–93.

Key TJ, Appleby PN, Reeves GK, et al. Body mass index, serum sex hormones, and breast cancer risk in postmenopausal women. J Natl Cancer Inst 2003;95:1218–26.

Rossouw JE, Anderson GL, Prentice RL, et al. Risks and benefits of estrogen plus progestin in healthy postmenopausal women: principal results From the Women's Health Initiative randomized controlled trial. JAMA 2002;288:321–33.