© The Author 2006. Published by Oxford University Press.
EDITORIAL |
Assessing Breast Cancer Risk: Evolution of the Gail Model
Affiliations of authors: Department of Epidemiology, The University of Texas M.D. Anderson Cancer Center, Houston, TX (MLB); Breast Care Center, Department of Surgery, Division of Surgical Oncology, University of Michigan Comprehensive Cancer Center, Ann Arbor, MI (LAN)
Correspondence to: Melissa L. Bondy, PhD, Department of Epidemiology, The University of Texas M.D. Anderson Cancer Center, PO Box 301439, Houston, TX 77230-1439 (e-mail: mbondy@mdanderson.org) or Lisa A. Newman, MD, MPH, Breast Care Center, Department of Surgery, Division of Surgical Oncology, University of Michigan Comprehensive Cancer Center, Ann Arbor, MI (e-mail: lanewman@med.umich.edu).
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This issue of the Journal contains two articles refining and advancing the breast cancer risk assessment model known as the Gail Model (1). This model has been shown to be well calibrated with respect to predicting the number of cancers likely to develop within cohorts of white American women with specific risk factors (2–4). As needs of the chemoprevention trials (for determining eligibility) and clinicians (in counseling patients) have grown, the Gail Model has been modified to account for history of atypia and race or ethnicity, but until now it has included only nonmodifiable risk factors (i.e., age, reproductive history, and biopsy history). It is readily available to practitioners as a user-friendly program (http://bcra.nci.nih.gov/brc/start.htm
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