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Mammographic breast density and survival in women with invasive breast cancer

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Abstract

Purpose

We explored the under-debate association between mammographic breast density (MBD) and survival.

Methods

From the Piedmont Cancer Registry, we identified 693 invasive breast cancer (BC) cases. We analyzed the overall survival in strata of MBD through the Kaplan–Meier method. Using the Cox proportional hazards model, we estimated the hazard ratios (HRs) of death; using the cause-specific hazards regression model, we estimated the HRs of BC-related and other causes of death. Models included term for Breast Imaging-Reporting and Data System (BI-RADS) MBD (categorized as BI-RADS 1 and BI-RADS 2–4) and were adjusted for selected patient and tumour characteristics.

Results

There were 102 deaths, of which 49 were from BC. After 5 years, the overall survival was 69% in BI-RADS 1 and 88% in BI-RADS 2–4 (p < 0.01). Compared to BI-RADS 2–4, the HRs of death for BI-RADS 1 were 1.65 (95% CI 1.06–2.58) in the crude model and 1.35 (95% CI 0.84–2.16) in the fully adjusted model. Compared to BI-RADS 2–4, the fully adjusted HRs for BI-RADS 1 were 1.52 (95% CI 0.74–3.13) for BC-related death and 1.83 (95% CI 0.84–4.00) for the other causes of death.

Conclusion

Higher MBD is one of the strongest independent risk factors for BC, but it seems not to have an unfavorable impact on survival.

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Fig. 1

Data availability

The Piedmont Cancer Registry (Registro Tumori Piemonte–RTP).

Code availability

The data that support the findings of this study are available from the corresponding author, GC, upon reasonable request.

References

  1. Spak DA, Plaxco JS, Santiago L, Dryden MJ, Dogan BE (2017) BI-RADS((R)) fifth edition: a summary of changes. Diagn Interv Imaging 98(3):179–190. https://doi.org/10.1016/j.diii.2017.01.001

    Article  CAS  PubMed  Google Scholar 

  2. Boyd NF, Rommens JM, Vogt K, Lee V, Hopper JL, Yaffe MJ, Paterson AD (2005) Mammographic breast density as an intermediate phenotype for breast cancer. Lancet Oncol 6(10):798–808. https://doi.org/10.1016/S1470-2045(05)70390-9

    Article  PubMed  Google Scholar 

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

    Article  PubMed  Google Scholar 

  4. Kanbayti IH, Rae WID, McEntee MF, Ekpo EU (2019) Are mammographic density phenotypes associated with breast cancer treatment response and clinical outcomes? A systematic review and meta-analysis. Breast 47:62–76. https://doi.org/10.1016/j.breast.2019.07.002

    Article  PubMed  Google Scholar 

  5. Shawky MS, Huo CW, Henderson MA, Redfern A, Britt K, Thompson EW (2019) A review of the influence of mammographic density on breast cancer clinical and pathological phenotype. Breast Cancer Res Treat 177(2):251–276. https://doi.org/10.1007/s10549-019-05300-1

    Article  PubMed  Google Scholar 

  6. WHO International Classification of Diseases for Oncology, 3rd Edition (ICD-O-3). Available at: http://wwwwhoint/classifications/icd/adaptations/oncology/en/ (Last accessed Oct 2020)

  7. Dowsett M, Nielsen TO, A’Hern R, Bartlett J, Coombes RC, Cuzick J, Ellis M, Henry NL, Hugh JC, Lively T, McShane L, Paik S, Penault-Llorca F, Prudkin L, Regan M, Salter J, Sotiriou C, Smith IE, Viale G, Zujewski JA, Hayes DF, International Ki-67 in Breast Cancer Working G (2011) Assessment of Ki67 in breast cancer: recommendations from the International Ki67 in breast cancer working group. J Natl Cancer Inst 103(22):1656–1664. https://doi.org/10.1093/jnci/djr393

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Hammond ME, Hayes DF, Dowsett M, Allred DC, Hagerty KL, Badve S, Fitzgibbons PL, Francis G, Goldstein NS, Hayes M, Hicks DG, Lester S, Love R, Mangu PB, McShane L, Miller K, Osborne CK, Paik S, Perlmutter J, Rhodes A, Sasano H, Schwartz JN, Sweep FC, Taube S, Torlakovic EE, Valenstein P, Viale G, Visscher D, Wheeler T, Williams RB, Wittliff JL, Wolff AC (2010) American society of clinical oncology/College of American pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer. J Clin Oncol 28(16):2784–2795. https://doi.org/10.1200/JCO.2009.25.6529

    Article  PubMed  PubMed Central  Google Scholar 

  9. Wolff AC, Hammond MEH, Allison KH, Harvey BE, Mangu PB, Bartlett JMS, Bilous M, Ellis IO, Fitzgibbons P, Hanna W, Jenkins RB, Press MF, Spears PA, Vance GH, Viale G, McShane LM, Dowsett M (2018) Human epidermal growth factor receptor 2 testing in breast cancer: American Society of clinical oncology/College of American pathologists clinical practice guideline focused update. Arch Pathol Lab Med 142(11):1364–1382. https://doi.org/10.5858/arpa.2018-0902-SA

    Article  PubMed  Google Scholar 

  10. Goldhirsch A, Winer EP, Coates AS, Gelber RD, Piccart-Gebhart M, Thurlimann B, Senn HJ, Panel M (2013) Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International expert consensus on the primary therapy of early breast cancer 2013. Ann Oncol 24(9):2206–2223. https://doi.org/10.1093/annonc/mdt303

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Giuliano AE, Connolly JL, Edge SB, Mittendorf EA, Rugo HS, Solin LJ, Weaver DL, Winchester DJ, Hortobagyi GN (2017) Breast cancer-major changes in the American joint committee on cancer eighth edition cancer staging manual. Cancer J Clin 67(4):290–303

    Article  Google Scholar 

  12. Gierach GL, Ichikawa L, Kerlikowske K, Brinton LA, Farhat GN, Vacek PM, Weaver DL, Schairer C, Taplin SH, Sherman ME (2012) Relationship between mammographic density and breast cancer death in the breast cancer surveillance consortium. J Natl Cancer Inst 104(16):1218–1227. https://doi.org/10.1093/jnci/djs327

    Article  PubMed  PubMed Central  Google Scholar 

  13. Heindl F, Fasching PA, Hein A, Hack CC, Heusinger K, Gass P, Poschke P, Stubs FA, Schulz-Wendtland R, Hartmann A, Erber R, Beckmann MW, Meyer J, Haberle L, Jud SM, Emons J (2021) Mammographic density and prognosis in primary breast cancer patients. Breast 59:51–57. https://doi.org/10.1016/j.breast.2021.06.004

    Article  PubMed  PubMed Central  Google Scholar 

  14. Maskarinec G, Pagano IS, Little MA, Conroy SM, Park SY, Kolonel LN (2013) Mammographic density as a predictor of breast cancer survival: the Multiethnic Cohort. Breast Cancer Res 15(1):R7. https://doi.org/10.1186/bcr3378

    Article  PubMed  PubMed Central  Google Scholar 

  15. Porter GJ, Evans AJ, Cornford EJ, Burrell HC, James JJ, Lee AH, Chakrabarti J (2007) Influence of mammographic parenchymal pattern in screening-detected and interval invasive breast cancers on pathologic features, mammographic features, and patient survival. AJR Am J Roentgenol 188(3):676–683. https://doi.org/10.2214/AJR.05.1950

    Article  PubMed  Google Scholar 

  16. Chiu SY, Duffy S, Yen AM, Tabar L, Smith RA, Chen HH (2010) Effect of baseline breast density on breast cancer incidence, stage, mortality, and screening parameters: 25-year follow-up of a Swedish mammographic screening. Cancer Epidemiol Biomarkers Prev 19(5):1219–1228. https://doi.org/10.1158/1055-9965.EPI-09-1028

    Article  PubMed  Google Scholar 

  17. Zhang S, Ivy JS, Diehl KM, Yankaskas BC (2013) The association of breast density with breast cancer mortality in African American and white women screened in community practice. Breast Cancer Res Treat 137(1):273–283. https://doi.org/10.1007/s10549-012-2310-3

    Article  PubMed  Google Scholar 

  18. 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. https://doi.org/10.1186/1471-2407-14-229

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Elsamany S, Alzahrani A, Elkhalik SA, Elemam O, Rawah E, Farooq MU, HA M, KO F (2014) Prognostic value of mammographic breast density in patients with metastatic breast cancer. Med Oncol 31(8):96. https://doi.org/10.1007/s12032-014-0096-3

    Article  PubMed  Google Scholar 

  20. Masarwah A, Auvinen P, Sudah M, Rautiainen S, Sutela A, Pelkonen O, Oikari S, Kosma VM, Vanninen R (2015) Very low mammographic breast density predicts poorer outcome in patients with invasive breast cancer. Eur Radiol 25(7):1875–1882. https://doi.org/10.1007/s00330-015-3626-2

    Article  PubMed  Google Scholar 

  21. Hwang KT, Chu AJ, Kim J, Lee JY, Chang JH, Oh S, Kim YA, Jung J, Oh B (2018) Prognostic influence of preoperative mammographic breast density in operable invasive female breast cancer. Sci Rep 8(1):16075. https://doi.org/10.1038/s41598-018-34297-8

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. 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. https://doi.org/10.1038/sj.bjc.6604989

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. van der Waal D, Verbeek ALM, Broeders MJM (2018) Breast density and breast cancer-specific survival by detection mode. BMC Cancer 18(1):386. https://doi.org/10.1186/s12885-018-4316-7

    Article  PubMed  PubMed Central  Google Scholar 

  24. Masarwah A, Tammi M, Sudah M, Sutela A, Oikari S, Kosma VM, Tammi R, Vanninen R, Auvinen P (2015) The reciprocal association between mammographic breast density, hyaluronan synthesis and patient outcome. Breast Cancer Res Treat 153(3):625–634. https://doi.org/10.1007/s10549-015-3567-0

    Article  PubMed  Google Scholar 

  25. Tiainen S, Masarwah A, Oikari S, Rilla K, Hamalainen K, Sudah M, Sutela A, Vanninen R, Ikonen J, Tammi R, Tammi M, Auvinen P (2020) Tumor microenvironment and breast cancer survival: combined effects of breast fat, M2 macrophages and hyaluronan create a dismal prognosis. Breast Cancer Res Treat 179(3):565–575. https://doi.org/10.1007/s10549-019-05491-7

    Article  CAS  PubMed  Google Scholar 

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Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by GC, MP, and SR. The first draft of the manuscript was written by MP and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Greta Carioli.

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Ethical approval

Data were retrieved upon permission gathered from the local cancer registry that operates under national (22/3/2019 #29) and regional (11/3/2012 #4) laws. The investigation did not involve any human contact, but only record linkage analysis of administrative healthcare databases.

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Pizzato, M., Carioli, G., Rosso, S. et al. Mammographic breast density and survival in women with invasive breast cancer. Cancer Causes Control 33, 1207–1213 (2022). https://doi.org/10.1007/s10552-022-01590-x

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