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Mammographic density in relation to tumor biomarkers, molecular subtypes, and mode of detection in breast cancer

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Abstract

Purpose

Mammographic density is an established risk factor for breast cancer; however, the relation to tumor pathological parameters including the androgen receptor and molecular subtypes has not been extensively studied.

Methods

In the Malmö Diet and Cancer Study, 733 invasive breast cancers were diagnosed from 1991 to 2007. Mammographic density was defined qualitatively. Tumor biomarker information including estrogen receptor (ER), progesterone receptor, androgen receptor (AR), human epidermal growth factor 2 (HER2), and Ki67 was collected. Surrogate molecular subtypes were defined as luminal A, luminal B, HER2 positive and triple-negative breast cancer (TNBC).

Results

Among the 632 tumors with mammographic and pathological information, 352 tumors were screening-detected and 280 clinically detected. Higher mammographic density was associated with ER-negative tumors [ORadj 1.93 (1.04–3.59)] and TNBC [ORadj 2.44 (1.01–5.89), luminal A reference], in clinically detected breast cancer. Similarly, higher mammographic density was associated with AR-negative tumors [ORadj 1.77 (0.80–3.93)] in clinically detected breast cancer, though the evidence for this association was weak.

Conclusions

In clinically detected breast cancer, but not in screening-detected, higher mammographic density was associated with ER-negative tumors including TNBC. This study highlights the need for taking mode of detection into consideration when addressing mammographic density and tumor biomarkers.

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References

  1. McCormack VA, dos Santos Silva I (2006) Breast density and parenchymal patterns as markers of breast cancer risk: a meta-analysis. Cancer Epidemiol Biomark Prev 15(6):1159–1169. doi:10.1158/1055-9965.EPI-06-0034

    Article  Google Scholar 

  2. Yaghjyan L, Colditz GA, Collins LC, Schnitt SJ, Rosner B, Vachon C, Tamimi RM (2011) Mammographic breast density and subsequent risk of breast cancer in postmenopausal women according to tumor characteristics. J Natl Cancer Inst 103(15):1179–1189. doi:10.1093/jnci/djr225

    Article  PubMed Central  PubMed  Google Scholar 

  3. Ciatto S, Visioli C, Paci E, Zappa M (2004) Breast density as a determinant of interval cancer at mammographic screening. Br J Cancer 90(2):393–396. doi:10.1038/sj.bjc.6601548

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  4. Mandelson MT, Oestreicher N, Porter PL, White D, Finder CA, Taplin SH, White E (2000) Breast density as a predictor of mammographic detection: comparison of interval- and screen-detected cancers. J Natl Cancer Inst 92(13):1081–1087

    Article  CAS  PubMed  Google Scholar 

  5. Olsen AH, Bihrmann K, Jensen MB, Vejborg I, Lynge E (2009) Breast density and outcome of mammography screening: a cohort study. Br J Cancer 100(7):1205–1208. doi:10.1038/sj.bjc.6604989

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  6. Huo CW, Chew GL, Britt KL, Ingman WV, Henderson MA, Hopper JL, Thompson EW (2014) Mammographic density—a review on the current understanding of its association with breast cancer. Breast Cancer Res Treat 144(3):479–502. doi:10.1007/s10549-014-2901-2

    Article  CAS  PubMed  Google Scholar 

  7. Joensuu H, Lehtimaki T, Holli K, Elomaa L, Turpeenniemi-Hujanen T, Kataja V, Anttila A, Lundin M, Isola J, Lundin J (2004) Risk for distant recurrence of breast cancer detected by mammography screening or other methods. JAMA J Am Med Assoc 292(9):1064–1073. doi:10.1001/jama.292.9.1064

    Article  CAS  Google Scholar 

  8. Bertrand KA, Tamimi RM, Scott CG, Jensen MR, Pankratz VS, Visscher D, Norman A, Couch F, Shepherd J, Fan B, Chen YY, Ma L, Beck AH, Cummings SR, Kerlikowske K, Vachon CM (2013) Mammographic density and risk of breast cancer by age and tumor characteristics. Breast Cancer Res 15(6):R104. doi:10.1186/bcr3570

    Article  PubMed Central  PubMed  Google Scholar 

  9. Sartor H, Borgquist S, Hartman L, Zackrisson S (2015) Do pathological parameters differ with regard to breast density and mode of detection in breast cancer? The Malmo Diet and Cancer Study. Breast 24(1):12–17. doi:10.1016/j.breast.2014.10.006

    Article  PubMed  Google Scholar 

  10. Antoni S, Sasco AJ, dos Santos Silva I, 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 

  11. Olsson A, Borgquist S, Butt S, Zackrisson S, Landberg G, Manjer J (2012) Tumour-related factors and prognosis in breast cancer detected by screening. Br J Surg 99(1):78–87. doi:10.1002/bjs.7757

    Article  CAS  PubMed  Google Scholar 

  12. Olsson A, Sartor H, Borgquist S, Zackrisson S, Manjer J (2014) Breast density and mode of detection in relation to breast cancer specific survival: a cohort study. BMC Cancer 14:229. doi:10.1186/1471-2407-14-229

    Article  PubMed Central  PubMed  Google Scholar 

  13. Ding J, Warren R, Girling A, Thompson D, Easton D (2010) Mammographic density, estrogen receptor status and other breast cancer tumor characteristics. Breast J 16(3):279–289. doi:10.1111/j.1524-4741.2010.00907.x

    Article  PubMed  Google Scholar 

  14. Ghosh K, Brandt KR, Sellers TA, Reynolds C, Scott CG, Maloney SD, Carston MJ, Pankratz VS, Vachon CM (2008) Association of mammographic density with the pathology of subsequent breast cancer among postmenopausal women. Cancer Epidemiol Biomark Prev 17(4):872–879. doi:10.1158/1055-9965.EPI-07-0559

    Article  Google Scholar 

  15. Aiello EJ, Buist DS, White E, Porter PL (2005) Association between mammographic breast density and breast cancer tumor characteristics. Cancer Epidemiol Biomark Prev 14(3):662–668. doi:10.1158/1055-9965.EPI-04-0327

    Article  Google Scholar 

  16. Gucalp A, Tolaney S, Isakoff SJ, Ingle JN, Liu MC, Carey LA, Blackwell K, Rugo H, Nabell L, Forero A, Stearns V, Doane AS, Danso M, Moynahan ME, Momen LF, Gonzalez JM, Akhtar A, Giri DD, Patil S, Feigin KN, Hudis CA, Traina TA, Translational Breast Cancer Research C (2013) Phase II trial of bicalutamide in patients with androgen receptor-positive, estrogen receptor-negative metastatic Breast Cancer. Clin Cancer Res 19(19):5505–5512. doi:10.1158/1078-0432.CCR-12-3327

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  17. Hu R, Dawood S, Holmes MD, Collins LC, Schnitt SJ, Cole K, Marotti JD, Hankinson SE, Colditz GA, Tamimi RM (2011) Androgen receptor expression and breast cancer survival in postmenopausal women. Clin Cancer Res 17(7):1867–1874. doi:10.1158/1078-0432.CCR-10-2021

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  18. Park S, Park H, Koo J, Yang W, Kim S, Park B-W (2012) Higher expression of androgen receptor is a significant predictor for better endocrine-responsiveness in estrogen receptor-positive breast cancers. Breast Cancer Res Treat 133(1):311–320. doi:10.1007/s10549-011-1950-z

    Article  CAS  PubMed  Google Scholar 

  19. Goldhirsch A, Wood WC, Coates AS, Gelber RD, Thürlimann B, Senn H-J, members P (2011) Strategies for subtypes—dealing with the diversity of breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011. Ann Oncol 22(8):1736–1747. doi:10.1093/annonc/mdr304

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  20. Boyd NF, Martin LJ, Yaffe MJ, Minkin S (2011) Mammographic density and breast cancer risk: current understanding and future prospects. Breast Cancer Res 13(6):223. doi:10.1186/bcr2942

    Article  PubMed Central  PubMed  Google Scholar 

  21. Eriksson L, Hall P, Czene K, Dos Santos Silva I, McCormack V, Bergh J, Bjohle J, Ploner A (2012) Mammographic density and molecular subtypes of breast cancer. Br J Cancer 107(1):18–23. doi:10.1038/bjc.2012.234

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  22. Pollan M, Ascunce N, Ederra M, Murillo A, Erdozain N, Ales-Martinez JE, Pastor-Barriuso R (2013) Mammographic density and risk of breast cancer according to tumor characteristics and mode of detection: a Spanish population-based case–control study. Breast Cancer Res 15(1):R9. doi:10.1186/bcr3380

    Article  PubMed Central  PubMed  Google Scholar 

  23. Manjer J, Carlsson S, Elmstahl S, Gullberg B, Janzon L, Lindstrom M, Mattisson I, Berglund G (2001) The Malmo Diet and Cancer Study: representativity, cancer incidence and mortality in participants and non-participants. Eur J Cancer Prev 10(6):489–499

    Article  CAS  PubMed  Google Scholar 

  24. Berglund G, Elmstahl S, Janzon L, Larsson SA (1993) The Malmo Diet and Cancer Study. Design and feasibility. J Intern Med 233(1):45–51

    Article  CAS  PubMed  Google Scholar 

  25. Manjer J, Elmstahl S, Janzon L, Berglund G (2002) Invitation to a population-based cohort study: differences between subjects recruited using various strategies. Scand J Public Health 30(2):103–112. doi:10.1080/14034940210133771

    Article  PubMed  Google Scholar 

  26. Lagerlund M, Sontrop J, Zackrisson S (2013) Do reproductive and hormonal risk factors for breast cancer associate with attendance at mammography screening? Cancer Causes Control 24(9):1687–1694. doi:10.1007/s10552-013-0243-8

    Article  PubMed  Google Scholar 

  27. Borgquist S, Anagnostaki L, Jirstrom K, Landberg G, Manjer J (2007) Breast tumours following combined hormone replacement therapy express favourable prognostic factors. Int J Cancer 120(10):2202–2207. doi:10.1002/ijc.22542

    Article  CAS  PubMed  Google Scholar 

  28. Elebro K, Butt S, Dorkhan M, Jernström H, Borgquist S (2014) Age at first childbirth and oral contraceptive use are associated with risk of androgen receptor-negative breast cancer: the Malmö Diet and Cancer Cohort. Cancer Causes Control. doi:10.1007/s10552-014-0394-2

    PubMed  Google Scholar 

  29. Collett K, Stefansson IM, Eide J, Braaten A, Wang H, Eide GE, Thoresen SO, Foulkes WD, Akslen LA (2005) A basal epithelial phenotype is more frequent in interval breast cancers compared with screen detected tumors. Cancer Epidemiol Biomark Prev 14(5):1108–1112. doi:10.1158/1055-9965.EPI-04-0394

    Article  CAS  Google Scholar 

  30. Dawood S (2010) Triple-negative breast cancer. Drugs 70(17):2247–2258. doi:10.2165/11538150-000000000-00000

    Article  CAS  PubMed  Google Scholar 

  31. Yang W-T, Dryden M, Broglio K, Gilcrease M, Dawood S, Dempsey P, Valero V, Hortobagyi G, Atchley D, Arun B (2008) Mammographic features of triple receptor-negative primary breast cancers in young premenopausal women. Breast Cancer Res Treat 111(3):405–410. doi:10.1007/s10549-007-9810-6

    Article  PubMed  Google Scholar 

  32. Luck AA, Evans AJ, James JJ, Rakha EA, Paish EC, Green AR, Ellis IO (2008) Breast carcinoma with basal phenotype: mammographic findings. AJR Am J Roentgenol 191(2):346–351. doi:10.2214/AJR.07.2659

    Article  PubMed  Google Scholar 

  33. Franquet T, De Miguel C, Cozcolluela R, Donoso L (1993) Spiculated lesions of the breast: mammographic-pathologic correlation. Radiographics 13(4):841–852

    Article  CAS  PubMed  Google Scholar 

  34. Ghosh K, Brandt KR, Reynolds C, Scott CG, Pankratz VS, Riehle DL, Lingle WL, Odogwu T, Radisky DC, Visscher DW, Ingle JN, Hartmann LC, Vachon CM (2012) Tissue composition of mammographically dense and non-dense breast tissue. Breast Cancer Res Treat 131(1):267–275. doi:10.1007/s10549-011-1727-4

    Article  PubMed Central  PubMed  Google Scholar 

  35. Ogawa Y, Hai E, Matsumoto K, Ikeda K, Tokunaga S, Nagahara H, Sakurai K, Inoue T, Nishiguchi Y (2008) Androgen receptor expression in breast cancer: relationship with clinicopathological factors and biomarkers. Int J Clin Oncol 13(5):431–435. doi:10.1007/s10147-008-0770-6

    Article  CAS  PubMed  Google Scholar 

  36. Berg WA, Campassi C, Langenberg P, Sexton MJ (2000) Breast Imaging Reporting and Data System: inter- and intraobserver variability in feature analysis and final assessment. AJR Am J Roentgenol 174(6):1769–1777

    Article  CAS  PubMed  Google Scholar 

  37. Ciatto S, Houssami N, Apruzzese A, Bassetti E, Brancato B, Carozzi F, Catarzi S, Lamberini MP, Marcelli G, Pellizzoni R, Pesce B, Risso G, Russo F, Scorsolini A (2005) Categorizing breast mammographic density: intra- and interobserver reproducibility of BI-RADS density categories. Breast 14(4):269–275. doi:10.1016/j.breast.2004.12.004

    Article  CAS  PubMed  Google Scholar 

  38. Kerlikowske K, Grady D, Barclay J, Frankel SD, Ominsky SH, Sickles EA, Ernster V (1998) Variability and accuracy in mammographic interpretation using the American College of Radiology Breast Imaging Reporting and Data System. J Natl Cancer Inst 90(23):1801–1809

    Article  CAS  PubMed  Google Scholar 

  39. Nicholson BT, LoRusso AP, Smolkin M, Bovbjerg VE, Petroni GR, Harvey JA (2006) Accuracy of assigned BI-RADS breast density category definitions. Acad Radiol 13(9):1143–1149. doi:10.1016/j.acra.2006.06.005

    Article  PubMed  Google Scholar 

  40. Ooms EA, Zonderland HM, Eijkemans MJC, Kriege M, Mahdavian Delavary B, Burger CW, Ansink AC (2007) Mammography: interobserver variability in breast density assessment. Breast 16(6):568–576. doi:10.1016/j.breast.2007.04.007

    Article  CAS  PubMed  Google Scholar 

  41. Harvey JA, Gard CC, Miglioretti DL, Yankaskas BC, Kerlikowske K, Buist DS, Geller BA, Onega TL (2013) Reported mammographic density: film-screen versus digital acquisition. Radiology 266(3):752–758. doi:10.1148/radiol.12120221

    Article  PubMed Central  PubMed  Google Scholar 

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Acknowledgments

The authors thank Anna Hwasser for excellent data management, Elise Nilsson for committed assistance with tumor tissue handling, and Lola Anagnostaki for assistance with pathology assessments. This work has received government funding for clinical research within the National Health Services.

Conflict of interest

The authors declare no conflict of interests.

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Correspondence to Hanna Sartor.

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Sartor, H., Zackrisson, S., Elebro, K. et al. Mammographic density in relation to tumor biomarkers, molecular subtypes, and mode of detection in breast cancer. Cancer Causes Control 26, 931–939 (2015). https://doi.org/10.1007/s10552-015-0576-6

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  • DOI: https://doi.org/10.1007/s10552-015-0576-6

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