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Risk Assessment

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Breast Cancer

Abstract

The history of breast cancer risk assessment can be traced to the early 1700s when the observation was made in Italy that nuns were more likely to die of breast cancer than the general population. Although nulliparity has since been confirmed as a breast cancer risk factor, quantification of this risk is not as straightforward as it might seem. Risks are present, of course, but unidentified. Additionally, the widespread attention given to risk factors for breast cancer has had the unintended effect of transmitting a false sense of security to eventual breast cancer patients who do not have the publicized risks.

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References

  1. Ottman R, Pike MC, King MC, Henerson BE. Practical guide for estimating risk for familial breast cancer. Lancet. 1983;2:556–8.

    Article  PubMed  CAS  Google Scholar 

  2. Anderson DE, Badzioch MD. Risk of familial breast cancer. Cancer. 1985;56:383–7.

    Article  PubMed  CAS  Google Scholar 

  3. Dupont WD. Converting relative risks to absolute risks: a graphical approach. Stat Med. 1989;8:641–51.

    Article  PubMed  CAS  Google Scholar 

  4. Dupont WD, Page DL. Risk factors for breast cancer in women with proliferative breast disease. N Engl J Med. 1985;312:146–51.

    Article  PubMed  CAS  Google Scholar 

  5. Gail MH, Brinton LA, Byar DP, et al. Projecting individualized probabilities of developing breast cancer for white females who are being examined annually. J Natl Cancer Inst. 1989;81:1879–86.

    Article  PubMed  CAS  Google Scholar 

  6. Claus EB, Risch N, Thompson WD. Autosomal dominant inheritance of early-onset breast cancer. Implications for risk prediction. Cancer. 1994;73:643–51.

    Article  PubMed  CAS  Google Scholar 

  7. Bodian CA, Perzin KH, Lattes R. Lobular neoplasia. Long term risk of breast cancer and relation to other factors. Cancer. 1996;78:1024–34.

    Article  PubMed  CAS  Google Scholar 

  8. Tyrer J, Duffy SW, Cuzick J. A breast cancer prediction model incorporating familial and personal risk factors. Stat Med. 2004;23:1111–30. Erratum in: Stat Med. 2005;24(1):156.

    Article  PubMed  Google Scholar 

  9. Chen J, Pee D, Ayyagari R, et al. Projecting absolute invasive breast cancer risk in white women with a model that includes mammographic density. J Natl Cancer Inst. 2006;98:1215–26.

    Article  PubMed  Google Scholar 

  10. Tice JA, Cummings SR, Siv E, Kerlikowske K. Mammographic breast density and the Gail model for breast cancer risk prediction in a screened population. Breast Cancer Res Treat. 2005;94:115–22.

    Article  PubMed  Google Scholar 

  11. Bondy ML, Newman LA. Assessing breast cancer risk: evolution of the Gail model (editorial). J Natl Cancer Inst. 2006;98:1172–3.

    Article  PubMed  Google Scholar 

  12. Amir E, Freedman OC, Seruga B, Evans DG. Assessing women at high risk of breast cancer: a review of risk assessment models. J Natl Cancer Inst. 2010;102:680–91.

    Article  PubMed  Google Scholar 

  13. Gail MH, Mai PL. Comparing breast cancer risk assessment models. J Natl Cancer Inst. 2010;102:665–8.

    Article  PubMed  Google Scholar 

  14. Tice JA, Cummings SR, Smith-Bindman R, et al. Using clinical factors and mammographic breast density to estimate breast cancer risk: development and validation of a new predictive model. Ann Intern Med. 2008;148:337–47.

    Article  PubMed  Google Scholar 

  15. Berry DA, Iversen ES, Gudbjartsson DF, et al. BRCAPRO validation, sensitivity of genetic testing of BRCA1/BRCA2, and prevalence of other breast cancer susceptibility genes. J Clin Oncol. 2002;20:2701–12.

    Article  PubMed  CAS  Google Scholar 

  16. Freedman AN, Seminara D, Gail MH, et al. Cancer risk prediction models: a workshop on development, evaluation, and application. J Natl Cancer Inst. 2005;97:715–23.

    Article  PubMed  Google Scholar 

  17. Fisher B, Costantino JP, Wickerham DL, et al. Tamoxifen for prevention of breast cancer: report of the National Surgical Adjuvant Breast and Bowel Project P-1 study. J Natl Cancer Inst. 1998;90:1371–88.

    Article  PubMed  CAS  Google Scholar 

  18. Vogel VG, Costantino JP, Wickerham DL, et al. Effects of tamoxifen vs. raloxifene on the risk of developing invasive breast cancer and other disease outcomes. The NSABP study of tamoxifen and raloxifene (STAR) P-2 trial. JAMA. 2006;295:2727–41.

    Article  PubMed  CAS  Google Scholar 

  19. Vogel VG, Costantino JP, Wickerham DL, et al. Carcinoma in situ outcomes in National Surgical Adjuvant Breast and Bowel Project breast cancer chemoprevention trials. J Natl Cancer Inst Monogr. 2010;41:181–6.

    Article  Google Scholar 

  20. Hartmann LC, Schaid DJ, Woods JE, et al. Efficacy of bilateral prophylactic mastectomy in women with a family history of breast cancer. N Eng J Med. 1999;340:77–84.

    Article  CAS  Google Scholar 

  21. Hartmann LC, Sellers TA, Schaid DJ, et al. Efficacy of bilateral prophylactic mastectomy in BRCA1 and BRCA2 gene mutation carriers. J Natl Cancer Inst. 2001;93:1633–7.

    Article  PubMed  CAS  Google Scholar 

  22. Grann VR, Jacobson JS, Thomason D, et al. Effect of prevention strategies on survival and quality-adjusted survival of women with BRCA 1/2 mutations; an updated decision analysis. J Clin Oncol. 2002;20:2520–9.

    Article  PubMed  Google Scholar 

  23. Parmigiani G, Chen S, Iversen ES, et al. Validity of models for predicting BRCA2 and BRCA2 mutations. Ann Intern Med. 2007;147:441–50.

    Article  PubMed  Google Scholar 

  24. Hollingsworth AB, Singletary SE, Morrow M, et al. Current comprehensive assessment and management of women at increased risk for breast cancer. Am J Surg. 2004;187:349–62.

    Article  PubMed  Google Scholar 

  25. Saslow D, Boetes C, Burke W, et al. American Cancer Society guidelines for breast screening with MRI as an adjunct to mammography. CA Cancer J Clin. 2007;57:75–9.

    Article  PubMed  Google Scholar 

  26. Zhang Y, Kiel DP, Kreger BE, et al. Bone mass and the risk of breast cancer among postmenopausal women. N Engl J Med. 1997;336:611–7.

    Article  PubMed  CAS  Google Scholar 

  27. Gail MH. Value of adding single-nucleotide polymorphism genotypes to a breast cancer risk model. J Natl Cancer Inst. 2009;101:959–63.

    Article  PubMed  CAS  Google Scholar 

  28. Wrensch MR, Petrakis NL, Miike R, et al. Breast cancer risk in women with abnormal cytology in nipple aspirates of breast fluid. J Natl Cancer Inst. 2001;93:1791–8.

    Article  PubMed  CAS  Google Scholar 

  29. Vogel VG, editor. Management of patients at high risk for breast cancer. Malden, MA: Blackwell Science; 2001.

    Google Scholar 

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Correspondence to Alan B. Hollingsworth M.D., F.A.C.S. .

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© 2014 Springer Science+Business Media New York

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Hollingsworth, A.B. (2014). Risk Assessment. In: Francescatti, D., Silverstein, M. (eds) Breast Cancer. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8063-1_1

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  • DOI: https://doi.org/10.1007/978-1-4614-8063-1_1

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-8062-4

  • Online ISBN: 978-1-4614-8063-1

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