Five-Year and Lifetime Risk of Breast Cancer among U.S. Subpopulations: Implications for Magnetic Resonance Imaging Screening

被引:23
作者
Graubard, Barry I. [1 ]
Freedman, Andrew N. [2 ]
Gail, Mitchell H.
机构
[1] NCI, Biostat Branch, Div Canc Epidemiol & Genet, Bethesda, MD 20892 USA
[2] NCI, Div Canc Control & Populat Sci, Bethesda, MD 20892 USA
关键词
FAMILY-HISTORY; SOCIETY GUIDELINES; ASSESSMENT MODELS; GAIL MODEL; WOMEN; PREDICTION; VALIDATION; MRI;
D O I
10.1158/1055-9965.EPI-10-0324
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Guidelines from the American Cancer Society recommend annual breast magnetic resonance imaging (MRI) screening for women with a projected lifetime risk of >= 20% based on risk models that use family history. Because MRI screening is costly and has limited specificity, estimates of the numbers of U. S. women with >= 20% breast cancer risk would be useful. Methods: We used data from the 2000 and 2005 National Health Interview Survey and the National Cancer Institute (NCI) Breast Cancer Risk Assessment Tool (i.e., Gail model 2 with a revision for African Americans) to calculate estimates of U. S. women by age and race/ethnicity categories with a lifetime absolute breast cancer risk of >= 20%. Distributions of 5-year and lifetime absolute risk of breast cancer were compared across demographic groups. Results: We estimated that 1.09% (95% confidence interval, 0.95-1.24%) of women age 30 to 84 years have a lifetime absolute breast cancer risk of >= 20%, which translates to 880,063 U. S. women eligible for MRI screening. The 5-year risks are highest for white non-Hispanics and lowest for Hispanics. The lifetime risks decrease with age and are generally highest for white non-Hispanics, lower for African American non-Hispanic, and lowest for Hispanics. Conclusion: We provide national estimates of the number of U. S. women who would be eligible for MRI breast screening and distributions of 5-year and lifetime risks of breast cancer using the NCI Breast Cancer Risk Assessment Tool. Impact: These estimates inform the potential resources and public health demand for MRI screening and chemopreventive interventions that might be required for U. S. women. Cancer Epidemiol Biomarkers Prev; 19(10); 2430-6. (C) 2010 AACR.
引用
收藏
页码:2430 / 2436
页数:7
相关论文
共 30 条
[1]   Evaluation of breast cancer risk assessment packages in the family history evaluation and screening programme [J].
Amir, E ;
Evans, DG ;
Shenton, A ;
Lalloo, F ;
Moran, A ;
Boggis, C ;
Wilson, M ;
Howell, A .
JOURNAL OF MEDICAL GENETICS, 2003, 40 (11) :807-814
[2]   Assessing Women at High Risk of Breast Cancer: A Review of Risk Assessment Models [J].
Amir, Eitan ;
Freedman, Orit C. ;
Seruga, Bostjan ;
Evans, D. Gareth .
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2010, 102 (10) :680-691
[3]  
Anderson SJ, 1992, NSABP BREAST CANC PR
[4]  
[Anonymous], 2004, SAS STAT 9 1 US GUID
[5]  
[Anonymous], 2004, SUDAAN LANG MAN REL
[6]   The BOADICEA model of genetic susceptibility to breast and ovarian cancers: updates and extensions [J].
Antoniou, A. C. ;
Cunningham, A. P. ;
Peto, J. ;
Evans, D. G. ;
Lalloo, F. ;
Narod, S. A. ;
Risch, H. A. ;
Eyfjord, J. E. ;
Hopper, J. L. ;
Southey, M. C. ;
Olsson, H. ;
Johannsson, O. ;
Borg, A. ;
Passini, B. ;
Radice, P. ;
Manoukian, S. ;
Eccles, D. M. ;
Tang, N. ;
Olah, E. ;
Anton-Culver, H. ;
Warner, E. ;
Lubinski, J. ;
Gronwald, J. ;
Gorski, B. ;
Tryggvadottir, L. ;
Syrjakoski, K. ;
Kallioniemi, O-P ;
Eerola, H. ;
Nevanlinna, H. ;
Pharoah, P. D. P. ;
Easton, D. F. .
BRITISH JOURNAL OF CANCER, 2008, 98 (08) :1457-1466
[7]   Assessing breast cancer risk: Evolution of the Gail Model [J].
Bondy, Melissa L. ;
Newman, Lisa A. .
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2006, 98 (17) :1172-1173
[8]   VALIDATION OF A BREAST-CANCER RISK ASSESSMENT MODEL IN WOMEN WITH A POSITIVE FAMILY HISTORY [J].
BONDY, ML ;
LUSTBADER, ED ;
HALABI, S ;
ROSS, E ;
VOGEL, VG .
JOURNAL OF THE NATIONAL CANCER INSTITUTE, 1994, 86 (08) :620-625
[9]   THE CALCULATION OF BREAST-CANCER RISK FOR WOMEN WITH A FIRST DEGREE FAMILY HISTORY OF OVARIAN-CANCER [J].
CLAUS, EB ;
RISCH, N ;
THOMPSON, WD .
BREAST CANCER RESEARCH AND TREATMENT, 1993, 28 (02) :115-120
[10]   Validation studies for models projecting the risk of invasive and total breast cancer incidence [J].
Costantino, JP ;
Gail, MH ;
Pee, D ;
Anderson, S ;
Redmond, CK ;
Benichou, J ;
Wieand, HS .
JOURNAL OF THE NATIONAL CANCER INSTITUTE, 1999, 91 (18) :1541-1548