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Metabolic syndrome, insulin resistance, and mammographic density in pre- and postmenopausal women

  • Epidemiology
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Abstract

Little is known about the association of metabolic syndrome (MetS) or insulin resistance (IR) with mammographic density, a strong risk factor for breast cancer. The goal of this study was to evaluate these associations in pre- and postmenopausal women. A cross-sectional study was performed in 73,974 adult women who underwent a comprehensive health screening examination that included a mammogram between 2011 and 2013 (mean age 42.6 years). MetS was defined according to the modified National Cholesterol Education Program Adult Treatment Panel III. IR was assessed with the homeostasis model assessment-insulin resistance (HOMA-IR). Adjusted odds ratios (ORs) with 95 % confidence intervals (CIs) for dense breast were estimated using logistic regression models after adjustment for potential confounders. In premenopausal women, MetS and all its components except waist circumference were associated with dense breast. After adjustment for potential confounders, the OR (95 % CI) for dense breast in women with MetS compared with those without MetS was 1.22 (1.06–1.39). In postmenopausal women, however, there was positive but non-significant association between MetS and dense breast. In both pre- and postmenopausal women, high blood glucose and IR were positively associated with dense breast. The OR (95 % CI) for dense breast between the highest and lowest quartiles of HOMA-IR was 1.29 (1.20–1.39) for premenopausal women and 1.44 (1.05–1.97) for postmenopausal women. In a large sample of Korean women, MetS and IR were associated with mammographic dense breast, demonstrating that IR, a potentially modifiable risk factor, may increase breast cancer risk, possibly through high mammographic density.

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References

  1. Third Report of the National Cholesterol Education Program (NCEP) (2002) Expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III) final report. Circulation 106:3143–3421

    Google Scholar 

  2. Alberti KG, Zimmet P, Shaw J (2006) Metabolic syndrome–a new world-wide definition. A consensus statement from the International Diabetes Federation. Diabetic Med 23:469–480. doi:10.1111/j.1464-5491.2006.01858.x

    Article  CAS  PubMed  Google Scholar 

  3. Assi V, Warwick J, Cuzick J, Duffy SW (2012) Clinical and epidemiological issues in mammographic density. Nat Rev Clin Oncol 9:33–40. doi:10.1038/nrclinonc.2011.173

    Article  CAS  Google Scholar 

  4. Bhandari R, Kelley GA, Hartley TA, Rockett IR (2014) Metabolic syndrome is associated with increased breast cancer risk: a systematic review with meta-analysis. Int J Breast Cancer 2014:189384. doi:10.1155/2014/189384

    Article  PubMed Central  PubMed  Google Scholar 

  5. Borugian MJ, Spinelli JJ, Gordon PB, Abanto Z, Brooks-Wilson A, Pollak MN, Warren LJ, Hislop TG, Gallagher RP (2014) Fasting insulin and endogenous hormones in relation to premenopausal breast density (Canada). Cancer Causes Control: CCC 25:385–394. doi:10.1007/s10552-014-0339-9

    Article  PubMed  Google Scholar 

  6. Capasso I, Esposito E, Pentimalli F, Montella M, Crispo A, Maurea N, D’Aiuto M, Fucito A, Grimaldi M, Cavalcanti E, Esposito G, Brillante G, Lodato S, Pedicini T, D’Aiuto G, Ciliberto G, Giordano A (2013) Homeostasis model assessment to detect insulin resistance and identify patients at high risk of breast cancer development: National Cancer Institute of Naples experience. J Exp Clin Cancer Res: CR 32:14. doi:10.1186/1756-9966-32-14

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  7. Carney PA, Miglioretti DL, Yankaskas BC, Kerlikowske K, Rosenberg R, Rutter CM, Geller BM, Abraham LA, Taplin SH, Dignan M, Cutter G, Ballard-Barbash R (2003) Individual and combined effects of age, breast density, and hormone replacement therapy use on the accuracy of screening mammography. Ann Intern Med 138:168–175

    Article  PubMed  Google Scholar 

  8. Chang Y, Kim BK, Yun KE, Cho J, Zhang Y, Rampal S, Zhao D, Jung HS, Choi Y, Ahn J, Lima JA, Shin H, Guallar E, Ryu S (2014) Metabolically-healthy obesity and coronary artery calcification. J Am Coll Cardiol 63:2679–2686. doi:10.1016/j.jacc.2014.03.042

    Article  PubMed  Google Scholar 

  9. Chang Y, Yun KE, Jung HS, Kim CW, Kwon MJ, Sung E, Ryu S (2013) A1C and coronary artery calcification in nondiabetic men and women. Arterioscler Thromb Vasc Biol 33:2026–2031. doi:10.1161/ATVBAHA.113.301587

    Article  CAS  PubMed  Google Scholar 

  10. Conroy SM, Butler LM, Harvey D, Gold EB, Sternfeld B, Greendale GA, Habel LA (2011) Metabolic syndrome and mammographic density: the study of women’s health across the nation. Int J Cancer 129:1699–1707. doi:10.1002/ijc.25790

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  11. Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, Oja P (2003) International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 35:1381–1395. doi:10.1249/01.MSS.0000078924.61453.FB

    Article  PubMed  Google Scholar 

  12. Ding J, Warren R, Warsi I, Day N, Thompson D, Brady M, Tromans C, Highnam R, Easton D (2008) Evaluating the effectiveness of using standard mammogram form to predict breast cancer risk: case-control study. Cancer Epidemiol Biomark Prev 17:1074–1081. doi:10.1158/1055-9965.EPI-07-2634

    Article  Google Scholar 

  13. Esposito K, Chiodini P, Capuano A, Bellastella G, Maiorino MI, Rafaniello C, Giugliano D (2013) Metabolic syndrome and postmenopausal breast cancer: systematic review and meta-analysis. Menopause 20:1301–1309. doi:10.1097/GME.0b013e31828ce95d

    Article  PubMed  Google Scholar 

  14. Esposito K, Chiodini P, Colao A, Lenzi A, Giugliano D (2012) Metabolic syndrome and risk of cancer: a systematic review and meta-analysis. Diabetes Care 35:2402–2411. doi:10.2337/dc12-0336

    Article  PubMed Central  PubMed  Google Scholar 

  15. Friedenreich CM (2001) Review of anthropometric factors and breast cancer risk. Eur J Cancer Prev 10:15–32

    Article  CAS  PubMed  Google Scholar 

  16. Hankinson SE, Willett WC, Colditz GA, Hunter DJ, Michaud DS, Deroo B, Rosner B, Speizer FE, Pollak M (1998) Circulating concentrations of insulin-like growth factor-I and risk of breast cancer. Lancet 351:1393–1396. doi:10.1016/S0140-6736(97)10384-1

    Article  CAS  PubMed  Google Scholar 

  17. Hanna M, Dumas I, Jacob S, Tetu B, Diorio C (2015) Physical activity, mammographic density, and age-related lobular involution among premenopausal and postmenopausal women. Menopause. doi:10.1097/GME.0000000000000433

    PubMed  Google Scholar 

  18. Healy LA, Ryan AM, Carroll P, Ennis D, Crowley V, Boyle T, Kennedy MJ, Connolly E, Reynolds JV (2010) Metabolic syndrome, central obesity and insulin resistance are associated with adverse pathological features in postmenopausal breast cancer. Clin Oncol 22:281–288. doi:10.1016/j.clon.2010.02.001

    Article  CAS  Google Scholar 

  19. Kang EY, Shin JH, Kang SG, Hwang YN, Cha ES, Song SW (2007) Relationship between mammographic dense breast and other risk factors of breast cancer in Korean women. J Korean Acad Fam Med 28:937–942

    Google Scholar 

  20. Kim CW, Yun KE, Jung HS, Chang Y, Choi ES, Kwon MJ, Lee EH, Woo EJ, Kim NH, Shin H, Ryu S (2013) Sleep duration and quality in relation to non-alcoholic fatty liver disease in middle-aged workers and their spouses. J Hepatol 59:351–357. doi:10.1016/j.jhep.2013.03.035

    Article  PubMed  Google Scholar 

  21. Lindgren J, Dorgan J, Savage-Williams J, Coffman D, Hartman T (2013) Diet across the lifespan and the association with breast density in adulthood. Int J Breast Cancer 2013:808317. doi:10.1155/2013/808317

    Article  PubMed Central  PubMed  Google Scholar 

  22. Masala G, Assedi M, Ambrogetti D, Sera F, Salvini S, Bendinelli B, Ermini I, Giorgi D, Rosselli del Turco M, Palli D (2009) Physical activity and mammographic breast density in a Mediterranean population: the EPIC Florence longitudinal study. Int J Cancer 124:1654–1661. doi:10.1002/ijc.24099

    Article  CAS  PubMed  Google Scholar 

  23. Maskarinec G, Takata Y, Pagano I, Lurie G, Wilkens LR, Kolonel LN (2006) Alcohol consumption and mammographic density in a multiethnic population. Int J Cancer 118:2579–2583. doi:10.1002/ijc.21705

    Article  CAS  PubMed  Google Scholar 

  24. Matafome P, Santos-Silva D, Sena CM, Seica R (2013) Common mechanisms of dysfunctional adipose tissue and obesity-related cancers. Diabetes/Metabol Res Rev 29:285–295. doi:10.1002/dmrr.2395

    Article  CAS  Google Scholar 

  25. Milazzo G, Giorgino F, Damante G, Sung C, Stampfer MR, Vigneri R, Goldfine ID, Belfiore A (1992) Insulin receptor expression and function in human breast cancer cell lines. Cancer Res 52:3924–3930

    CAS  PubMed  Google Scholar 

  26. Nelson HD, Zakher B, Cantor A, Fu R, Griffin J, O’Meara ES, Buist DS, Kerlikowske K, van Ravesteyn NT, Trentham-Dietz A, Mandelblatt JS, Miglioretti DL (2012) Risk factors for breast cancer for women aged 40 to 49 years: a systematic review and meta-analysis. Ann Intern Med 156:635–648. doi:10.7326/0003-4819-156-9-201205010-00006

    Article  PubMed Central  PubMed  Google Scholar 

  27. Oh JY, Yang YJ, Kim BS, Kang JH (2007) Validity and reliability of Korean version of International Physical Activity Questionnaire (IPAQ) short form. J Korean Acad Fam Med 28:10

    Google Scholar 

  28. Quandt Z, Flom JD, Tehranifar P, Reynolds D, Terry MB, McDonald JA (2015) The association of alcohol consumption with mammographic density in a multiethnic urban population. BMC Cancer 15:1094. doi:10.1186/s12885-015-1094-3

    Article  PubMed  Google Scholar 

  29. American college of Radiology (ACR) (1998) Illustrated breast imaging reporting and data system (BI-RADSTM). American college of Radiology (ACR), Reston

    Google Scholar 

  30. Rice MS, Biessy C, Lajous M, Bertrand KA, Tamimi RM, Torres-Mejia G, Lopez-Ridaura R, Romieu I (2013) Metabolic syndrome and mammographic density in mexican women. Cancer Prev Res 6:701–710. doi:10.1158/1940-6207.CAPR-12-0475

    Article  CAS  Google Scholar 

  31. Sieri S, Muti P, Claudia A, Berrino F, Pala V, Grioni S, Abagnato CA, Blandino G, Contiero P, Schunemann HJ, Krogh V (2012) Prospective study on the role of glucose metabolism in breast cancer occurrence. Int J Cancer 130:921–929. doi:10.1002/ijc.26071

    Article  CAS  PubMed  Google Scholar 

  32. Singh B, Saxena A (2010) Surrogate markers of insulin resistance: a review. World J Diabetes 1:36–47. doi:10.4239/wjd.v1.i2.36

    Article  PubMed Central  PubMed  Google Scholar 

  33. Spayne MC, Gard CC, Skelly J, Miglioretti DL, Vacek PM, Geller BM (2012) Reproducibility of BI-RADS breast density measures among community radiologists: a prospective cohort study. Breast J 18:326–333. doi:10.1111/j.1524-4741.2012.01250.x

    Article  PubMed Central  PubMed  Google Scholar 

  34. Sung J, Song YM, Stone J, Lee K, Kim SY (2010) Association of body size measurements and mammographic density in Korean women: the Healthy Twin study. Cancer Epidemiol Biomark Prev 19:1523–1531. doi:10.1158/1055-9965.EPI-09-1005

    Article  Google Scholar 

  35. Trinh T, Christensen SE, Brand JS, Cuzick J, Czene K, Sjolander A, Balter K, Hall P (2015) Background risk of breast cancer influences the association between alcohol consumption and mammographic density. Br J Cancer 113:159–165. doi:10.1038/bjc.2015.185

    Article  CAS  PubMed  Google Scholar 

  36. Trinh T, Eriksson M, Darabi H, Bonn SE, Brand JS, Cuzick J, Czene K, Sjolander A, Balter K, Hall P (2015) Background risk of breast cancer and the association between physical activity and mammographic density. Breast Cancer Research : BCR 17:50. doi:10.1186/s13058-015-0565-4

    Article  PubMed Central  PubMed  Google Scholar 

  37. Vachon CM, Brandt KR, Ghosh K, Scott CG, Maloney SD, Carston MJ, Pankratz VS, Sellers TA (2007) Mammographic breast density as a general marker of breast cancer risk. Cancer Epidemiol Biomark Prev 16:43–49. doi:10.1158/1055-9965.EPI-06-0738

    Article  Google Scholar 

  38. Woolcott CG, Courneya KS, Boyd NF, Yaffe MJ, McTiernan A, Brant R, Jones CA, Stanczyk FZ, Terry T, Cook LS, Wang Q, Friedenreich CM (2013) Association between sex hormones, glucose homeostasis, adipokines, and inflammatory markers and mammographic density among postmenopausal women. Breast Cancer Res Treat 139:255–265. doi:10.1007/s10549-013-2534-x

    Article  CAS  PubMed  Google Scholar 

  39. Yaghjyan L, Mahoney MC, Succop P, Wones R, Buckholz J, Pinney SM (2012) Relationship between breast cancer risk factors and mammographic breast density in the Fernald Community Cohort. Br J Cancer 106:996–1003. doi:10.1038/bjc.2012.1

    Article  PubMed Central  CAS  PubMed  Google Scholar 

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Correspondence to Yoosoo Chang or Seungho Ryu.

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Kim, BK., Chang, Y., Ahn, J. et al. Metabolic syndrome, insulin resistance, and mammographic density in pre- and postmenopausal women. Breast Cancer Res Treat 153, 425–434 (2015). https://doi.org/10.1007/s10549-015-3544-7

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