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Risk factors for breast cancer subtypes among Black women undergoing screening mammography

  • Epidemiology
  • Published:
Breast Cancer Research and Treatment Aims and scope Submit manuscript

Abstract

Purpose

Black women are more likely than non-Hispanic White women to be diagnosed with triple negative breast cancer (TNBC), an aggressive subtype with limited treatment options. The study objective was to evaluate the associations of known breast cancer risk factors, including breast density, with TNBC among Black women.

Methods

This study included Black women who underwent screening mammography between the ages of 40–84 years at a University of Pennsylvania Health System between 2010 and 2015. Cox proportional hazard models using multiple imputation with chained equations were used to estimate hazard ratios and 95% confidence intervals for risk factors for ER/PR+/HER2− and TNBC.

Results

Among 25,013 Black women, there were 330 incident breast cancers (1.3%) during a mean follow-up of 5.8 years; 218 (66.1%) ER/PR+ HER− and 61 (18.1%) TNBC. Having dense breasts (heterogeneously dense or extremely dense) vs. non-dense breasts (almost entirely fatty or scattered areas of fibroglandular density) increased risk of ER/PR+/HER2− breast cancer almost 80% (HR 1.79, 95% CI 1.32–2.43) and TNBC more than twofold (HR 2.53, 1.45–4.44). Older age was associated with an increased risk for ER/PR+/HER2− (HR 1.04, 1.03–1.06) and TNBC (HR 1.03, 1.00–1.05). Having a BMI of > 30 kg/m2 was associated with an increased risk (HR 2.77, 1.05–7.30) for TNBC and an increased risk of ERPR+/HER2− breast cancer in postmenopausal but not pre-menopausal women (p-interaction = 0.016).

Conclusion

Our results suggest that breast density and obesity are strong risk factors for TNBC among Black women. Understanding breast cancer subtype specific risk factors among Black women can help improve risk assessment.

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Data availability

The data underlying this article cannot be shared publicly in order to protect patient privacy. The data may be shared in a de-identified format on reasonable request to the corresponding author.

Code availability

Not applicable.

References

  1. Perou CM, Sorlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, Pollack JR, Ross DT, Johnsen H, Akslen LA et al (2000) Molecular portraits of human breast tumours. Nature 406(6797):747–752

    Article  PubMed  CAS  Google Scholar 

  2. Prakash O, Hossain F, Danos D, Lassak A, Scribner R, Miele L (2020) Racial disparities in triple negative breast cancer: a review of the role of biologic and non-biologic factors. Front Public Health 8:576964

    Article  PubMed  PubMed Central  Google Scholar 

  3. Chollet-Hinton L, Olshan AF, Nichols HB, Anders CK, Lund JL, Allott EH, Bethea TN, Hong CC, Cohen SM, Khoury T et al (2017) Biology and etiology of young-onset breast cancers among premenopausal African American women: results from the AMBER Consortium. Cancer Epidemiol Biomark Prev 26(12):1722–1729

    Article  Google Scholar 

  4. Cancer stat facts: breast cancer. https://seer.cancer.gov/statfacts/html/breast-subtypes.html. Accessed 22 Apr 2021

  5. Howlader N, Cronin KA, Kurian AW, Andridge R (2018) Differences in breast cancer survival by molecular subtypes in the United States. Cancer Epidemiol Biomark Prev 27(6):619–626

    Article  CAS  Google Scholar 

  6. Lin NU, Vanderplas A, Hughes ME, Theriault RL, Edge SB, Wong YN, Blayney DW, Niland JC, Winer EP, Weeks JC (2012) Clinicopathologic features, patterns of recurrence, and survival among women with triple-negative breast cancer in the National Comprehensive Cancer Network. Cancer 118(22):5463–5472

    Article  PubMed  Google Scholar 

  7. Kohler BA, Sherman RL, Howlader N, Jemal A, Ryerson AB, Henry KA, Boscoe FP, Cronin KA, Lake A, Noone AM et al (2015) Annual report to the nation on the status of cancer, 1975–2011, featuring incidence of breast cancer subtypes by race/ethnicity, poverty, and state. J Natl Cancer Inst 107(6):djv048

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  8. Palmer JR, Ambrosone CB, Olshan AF (2014) A collaborative study of the etiology of breast cancer subtypes in African American women: the AMBER Consortium. Cancer Causes Control 25(3):309–319

    Article  PubMed  Google Scholar 

  9. Boyd NF, Guo H, Martin LJ, Sun L, Stone J, Fishell E, Jong RA, Hislop G, Chiarelli A, Minkin S et al (2007) Mammographic density and the risk and detection of breast cancer. N Engl J Med 356(3):227–236

    Article  PubMed  CAS  Google Scholar 

  10. Nazari SS, Mukherjee P (2018) An overview of mammographic density and its association with breast cancer. Breast Cancer 25(3):259–267

    Article  PubMed  Google Scholar 

  11. Ma H, Luo J, Press MF, Wang Y, Bernstein L, Ursin G (2009) Is there a difference in the association between percent mammographic density and subtypes of breast cancer? Luminal A and triple-negative breast cancer. Cancer Epidemiol Biomark Prev 18(2):479–485

    Article  CAS  Google Scholar 

  12. Holm J, Eriksson L, Ploner A, Eriksson M, Rantalainen M, Li J, Hall P, Czene K (2017) Assessment of breast cancer risk factors reveals subtype heterogeneity. Cancer Res 77(13):3708–3717

    Article  PubMed  CAS  Google Scholar 

  13. Ye DM, Li Q, Yu T, Wang HT, Luo YH, Li WQ (2019) Clinical and epidemiologic factors associated with breast cancer and its subtypes among Northeast Chinese women. Cancer Med 8(17):7431–7445

    Article  PubMed  PubMed Central  Google Scholar 

  14. McCarthy AM, Keller BM, Pantalone LM, Hsieh MK, Synnestvedt M, Conant EF, Armstrong K, Kontos D (2016) Racial differences in quantitative measures of area and volumetric breast density. J Natl Cancer Inst. https://doi.org/10.1093/jnci/djw104

    Article  PubMed  PubMed Central  Google Scholar 

  15. Sickles, EA, D’Orsi CJ, Bassett LW et al (2013) ACR BI-RADS® Mammography. In: ACR BI-RADS® Atlas, Breast Imaging Reporting and Data System. Reston, VA, American College of Radiology

  16. Phipps AI, Ichikawa L, Bowles EJ, Carney PA, Kerlikowske K, Miglioretti DL, Buist DS (2010) Defining menopausal status in epidemiologic studies: a comparison of multiple approaches and their effects on breast cancer rates. Maturitas 67(1):60–66

    Article  PubMed  PubMed Central  Google Scholar 

  17. White IR, Royston P, Wood AM (2011) Multiple imputation using chained equations: issues and guidance for practice. Stat Med 30(4):377–399

    Article  PubMed  Google Scholar 

  18. Sterne JA, White IR, Carlin JB, Spratt M, Royston P, Kenward MG, Wood AM, Carpenter JR (2009) Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ 338:b2393

    Article  PubMed  PubMed Central  Google Scholar 

  19. Barnard ME, Boeke CE, Tamimi RM (2015) Established breast cancer risk factors and risk of intrinsic tumor subtypes. Biochim Biophys Acta 1856(1):73–85

    PubMed  CAS  Google Scholar 

  20. Stuedal A, Ma H, Bernstein L, Pike MC, Ursin G (2008) Does breast size modify the association between mammographic density and breast cancer risk? Cancer Epidemiol Biomark Prev 17(3):621–627

    Article  Google Scholar 

  21. Kleinstern G, Scott CG, Tamimi RM, Jensen MR, Pankratz VS, Bertrand KA, Norman AD, Visscher DW, Couch FJ, Brandt K et al (2021) Association of mammographic density measures and breast cancer “intrinsic” molecular subtypes. Breast Cancer Res Treat 187(1):215–224

    Article  PubMed  PubMed Central  Google Scholar 

  22. McCormack VA, dos Santos SI (2006) Breast density and parenchymal patterns as markers of breast cancer risk: a meta-analysis. Cancer Epidemiol Biomark Prev 15(6):1159–1169

    Article  Google Scholar 

  23. Antoni S, Sasco AJ, dos Santos SI, McCormack V (2013) Is mammographic density differentially associated with breast cancer according to receptor status? A meta-analysis. Breast Cancer Res Treat 137(2):337–347

    Article  PubMed  Google Scholar 

  24. Vapiwala N, Thomas CR Jr, Grover S, Yap ML, Mitin T, Shulman LN, Gospodarowicz MK, Longo J, Petereit DG, Ennis RD et al (2019) Enhancing career paths for tomorrow’s radiation oncologists. Int J Radiat Oncol Biol Phys 105(1):52–63

    Article  PubMed  PubMed Central  Google Scholar 

  25. Maskarinec G, Dartois L, Delaloge S, Hopper J, Clavel-Chapelon F, Baglietto L (2017) Tumor characteristics and family history in relation to mammographic density and breast cancer: the French E3N cohort. Cancer Epidemiol 49:156–160

    Article  PubMed  Google Scholar 

  26. Maskarinec G, Nakamura KL, Woolcott CG, Conroy SM, Byrne C, Nagata C, Ursin G, Vachon CM (2015) Mammographic density and breast cancer risk by family history in women of White and Asian ancestry. Cancer Causes Control 26(4):621–626

    Article  PubMed  PubMed Central  Google Scholar 

  27. Razzaghi H, Troester MA, Gierach GL, Olshan AF, Yankaskas BC, Millikan RC (2012) Mammographic density and breast cancer risk in White and African American Women. Breast Cancer Res Treat 135(2):571–580

    Article  PubMed  PubMed Central  Google Scholar 

  28. 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 Biomark Prev 12(4):332–338

    Google Scholar 

  29. Chan DSM, Abar L, Cariolou M, Nanu N, Greenwood DC, Bandera EV, McTiernan A, Norat T (2019) World Cancer Research Fund International: Continuous Update Project—systematic literature review and meta-analysis of observational cohort studies on physical activity, sedentary behavior, adiposity, and weight change and breast cancer risk. Cancer Causes Control 30(11):1183–1200

    Article  PubMed  Google Scholar 

  30. Pierobon M, Frankenfeld CL (2013) Obesity as a risk factor for triple-negative breast cancers: a systematic review and meta-analysis. Breast Cancer Res Treat 137(1):307–314

    Article  PubMed  Google Scholar 

  31. Bandera EV, Chandran U, Hong CC, Troester MA, Bethea TN, Adams-Campbell LL, Haiman CA, Park SY, Olshan AF, Ambrosone CB et al (2015) Obesity, body fat distribution, and risk of breast cancer subtypes in African American women participating in the AMBER Consortium. Breast Cancer Res Treat 150(3):655–666

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  32. Chen L, Cook LS, Tang MT, Porter PL, Hill DA, Wiggins CL, Li CI (2016) Body mass index and risk of luminal, HER2-overexpressing, and triple negative breast cancer. Breast Cancer Res Treat 157(3):545–554

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  33. Shieh Y, Scott CG, Jensen MR, Norman AD, Bertrand KA, Pankratz VS, Brandt KR, Visscher DW, Shepherd JA, Tamimi RM et al (2019) Body mass index, mammographic density, and breast cancer risk by estrogen receptor subtype. Breast Cancer Res 21(1):48

    Article  PubMed  PubMed Central  Google Scholar 

  34. Kerlikowske K, Gard CC, Tice JA, Ziv E, Cummings SR, Miglioretti DL (2017) Breast Cancer Surveillance Consortium: risk factors that increase risk of estrogen receptor-positive and -negative breast cancer. J Natl Cancer Inst. https://doi.org/10.1093/jnci/djw276

    Article  PubMed  Google Scholar 

  35. Yang XR, Chang-Claude J, Goode EL, Couch FJ, Nevanlinna H, Milne RL, Gaudet M, Schmidt MK, Broeks A, Cox A et al (2011) Associations of breast cancer risk factors with tumor subtypes: a pooled analysis from the Breast Cancer Association Consortium studies. J Natl Cancer Inst 103(3):250–263

    Article  PubMed  Google Scholar 

  36. Cecchini RS, Costantino JP, Cauley JA, Cronin WM, Wickerham DL, Land SR, Weissfeld JL, Wolmark N (2012) Body mass index and the risk for developing invasive breast cancer among high-risk women in NSABP P-1 and STAR breast cancer prevention trials. Cancer Prev Res (Phila) 5(4):583–592

    Article  CAS  Google Scholar 

  37. Bandera EV, Maskarinec G, Romieu I, John EM (2015) Racial and ethnic disparities in the impact of obesity on breast cancer risk and survival: a global perspective. Adv Nutr 6(6):803–819

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  38. Dietze EC, Chavez TA, Seewaldt VL (2018) Obesity and triple-negative breast cancer: disparities, controversies, and biology. Am J Pathol 188(2):280–290

    Article  PubMed  PubMed Central  Google Scholar 

  39. Chollet-Hinton L, Anders CK, Tse CK, Bell MB, Yang YC, Carey LA, Olshan AF, Troester MA (2016) Breast cancer biologic and etiologic heterogeneity by young age and menopausal status in the Carolina Breast Cancer Study: a case–control study. Breast Cancer Res 18(1):79

    Article  PubMed  PubMed Central  Google Scholar 

  40. Benefield HC, Zirpoli GR, Allott EH, Shan Y, Hurson AN, Omilian AR, Khoury T, Hong CC, Olshan AF, Bethea TN et al (2021) Epidemiology of basal-like and luminal breast cancers among Black women in the AMBER Consortium. Cancer Epidemiol Biomark Prev 30(1):71–79

    Article  CAS  Google Scholar 

  41. Parise CA, Caggiano V (2017) Risk factors associated with the triple-negative breast cancer subtype within four race/ethnicities. Breast Cancer Res Treat 163(1):151–158

    Article  PubMed  Google Scholar 

  42. Trivers KF, Lund MJ, Porter PL, Liff JM, Flagg EW, Coates RJ, Eley JW (2009) The epidemiology of triple-negative breast cancer, including race. Cancer Causes Control 20(7):1071–1082

    Article  PubMed  PubMed Central  Google Scholar 

  43. Kulkarni A, Stroup AM, Paddock LE, Hill SM, Plascak JJ, Llanos AAM (2019) Breast cancer incidence and mortality by molecular subtype: statewide age and racial/ethnic disparities in New Jersey. Cancer Health Disparities 3:e1–e17

    PubMed  PubMed Central  Google Scholar 

  44. Bertrand KA, Bethea TN, Adams-Campbell LL, Rosenberg L, Palmer JR (2017) Differential patterns of risk factors for early-onset breast cancer by ER status in African American women. Cancer Epidemiol Biomark Prev 26(2):270–277

    Article  Google Scholar 

  45. Howard FM, Olopade OI (2021) Epidemiology of triple-negative breast cancer: a review. Cancer J 27(1):8–16

    Article  PubMed  CAS  Google Scholar 

  46. Brouckaert O, Rudolph A, Laenen A, Keeman R, Bolla MK, Wang Q, Soubry A, Wildiers H, Andrulis IL, Arndt V et al (2017) Reproductive profiles and risk of breast cancer subtypes: a multi-center case-only study. Breast Cancer Res 19(1):119

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  47. Li J, Ivansson E, Klevebring D, Tobin NP, Lindstrom LS, Holm J, Prochazka G, Cristando C, Palmgren J, Tornberg S et al (2017) Molecular differences between screen-detected and interval breast cancers are largely explained by PAM50 subtypes. Clin Cancer Res 23(10):2584–2592

    Article  PubMed  CAS  Google Scholar 

  48. Ambrosone CB, Zirpoli G, Hong CC, Yao S, Troester MA, Bandera EV, Schedin P, Bethea TN, Borges V, Park SY et al (2015) Important role of menarche in development of estrogen receptor-negative breast cancer in African American women. J Natl Cancer Inst. https://doi.org/10.1093/jnci/djv172

    Article  PubMed  PubMed Central  Google Scholar 

  49. Phipps AI, Chlebowski RT, Prentice R, McTiernan A, Wactawski-Wende J, Kuller LH, Adams-Campbell LL, Lane D, Stefanick ML, Vitolins M et al (2011) Reproductive history and oral contraceptive use in relation to risk of triple-negative breast cancer. J Natl Cancer Inst 103(6):470–477

    Article  PubMed  PubMed Central  Google Scholar 

  50. Li L, Zhong Y, Zhang H, Yu H, Huang Y, Li Z, Chen G, Hua X (2017) Association between oral contraceptive use as a risk factor and triple-negative breast cancer: a systematic review and meta-analysis. Mol Clin Oncol 7(1):76–80

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  51. Collaborative Group on Hormonal Factors in Breast Consortium (2019) Type and timing of menopausal hormone therapy and breast cancer risk: individual participant meta-analysis of the worldwide epidemiological evidence. Lancet 394(10204):1159–1168

    Article  Google Scholar 

  52. Brown AF, Perez-Stable EJ, Whitaker EE, Posner SF, Alexander M, Gathe J, Washington AE (1999) Ethnic differences in hormone replacement prescribing patterns. J Gen Intern Med 14(11):663–669

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  53. Palmer JR, Viscidi E, Troester MA, Hong CC, Schedin P, Bethea TN, Bandera EV, Borges V, McKinnon C, Haiman CA et al (2014) Parity, lactation, and breast cancer subtypes in African American women: results from the AMBER Consortium. J Natl Cancer Inst. https://doi.org/10.1093/jnci/dju237

    Article  PubMed  PubMed Central  Google Scholar 

  54. Sprague BL, Conant EF, Onega T, Garcia MP, Beaber EF, Herschorn SD, Lehman CD, Tosteson AN, Lacson R, Schnall MD et al (2016) Variation in mammographic breast density assessments among radiologists in clinical practice: a multicenter observational study. Ann Intern Med 165(7):457–464

    Article  PubMed  PubMed Central  Google Scholar 

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Funding

This work was supported by the American Cancer Society: 131052-MRSG-17-144-01-CCE and the Susan G. Komen Foundation®: CCR17480662.

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Authors and Affiliations

Authors

Contributions

TMF-K: Conceptualization, Formal Analysis, Methodology, Writing-original draft, Writing-review and editing; SE: Data Curation, Writing-review and editing; EC: Conceptualization, Writing-review and editing, Resources; DK: Conceptualization, Writing-review and editing, Resources; SD: Conceptualization, Writing-review and editing; AMM: Conceptualization, Data curation, Funding acquisition, Methodology, Writing-review and editing.

Corresponding author

Correspondence to Tara M. Friebel-Klingner.

Ethics declarations

Conflict of interest

Emily Conant has grants and is on the Advisory Board for iCAD, Inc. and for Hologic, Inc. The remaining authors have no conflicts to disclose.

Ethical approval

This observational study was deemed exempt from review by the University of Pennsylvania Institutional Review Board.

Informed consent

The need for informed consent by human subjects was waived by the University of Pennsylvania Institutional Review Board.

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Appendix

Appendix

See Table 3, 4, 5 and 6.

Table 3 Risk factors for breast cancer subtypes among 25,013 Black women undergoing screening mammography in multivariable adjusted models using missing data
Table 4 Risk factors breast cancer subtypes among 25,013 Black women undergoing screening mammography using missing data
Table 5 Risk factors for breast cancer subtypes among 25,013 Black women undergoing screening mammography using missing data
Table 6 Interactions of menopause status with BMI and menopause status with breast density

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Friebel-Klingner, T.M., Ehsan, S., Conant, E.F. et al. Risk factors for breast cancer subtypes among Black women undergoing screening mammography. Breast Cancer Res Treat 189, 827–835 (2021). https://doi.org/10.1007/s10549-021-06340-2

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