Projecting individualized absolute invasive breast cancer risk in African American women

被引:257
作者
Gail, Mitchell H.
Costantino, Joseph P.
Pee, David
Bondy, Melissa
Newman, Lisa
Selvan, Mano
Anderson, Garnet L.
Malone, Kathleen E.
Marchbanks, Polly A.
McCaskill-Stevens, Worta
Norman, Sandra A.
Simon, Michael S.
Spirtas, Robert
Ursin, Giske
Bernstein, Leslie
机构
[1] Ctr Dis Control & Prevent, Div Reprod Hlth, Atlanta, GA USA
[2] Womens Hlth Initiat Clin Coordinating Ctr, Seattle, WA USA
[3] Fred Hutchinson Canc Res Ctr, Div Publ Hlth Sci, Seattle, WA 98104 USA
[4] Informat Management Serv Inc, Rockville, MD USA
[5] Wayne State Univ, Div Hematol & Oncol, Karmanos Canc Inst, Detroit, MI USA
[6] Univ Michigan, Breast Care Ctr, Ann Arbor, MI 48109 USA
[7] NCI, Div Canc Prevent, Bethesda, MD 20892 USA
[8] NICHHD, Contracept & Reprod Branch, Populat Res Ctr, NIH, Bethesda, MD 20892 USA
[9] Univ Penn, Sch Med, Ctr Clin Epidemiol & Biostat, Philadelphia, PA 19104 USA
[10] Univ Penn, Sch Med, Dept Biostat & Epidemiol, Philadelphia, PA 19104 USA
[11] Univ Pittsburgh, Grad Sch Publ Hlth, Pittsburgh, PA USA
[12] Univ Pittsburgh, Dept Biostat, Pittsburgh, PA 15261 USA
[13] Univ So Calif, Dept Prevent Med, Keck Sch Med, Los Angeles, CA 90089 USA
[14] Univ So Calif, Norris Comprehens Canc Med, Los Angeles, CA USA
[15] Univ Texas MD Anderson Canc Ctr, Dept Epidemiol, Houston, TX USA
[16] Univ Texas MD Anderson Canc Ctr, Dept Clin Effectiveness, Houston, TX USA
关键词
D O I
10.1093/jnci/djm223
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background The Breast Cancer Risk Assessment Tool of the National Cancer Institute (NCI) is widely used for counseling and determining eligibility for breast cancer prevention trials, although its validity for projecting risk in African American women is uncertain. We developed a model for projecting absolute risk of invasive breast cancer in African American women and compared its projections with those from the Breast Cancer Risk Assessment Tool. Methods Data from 1607 African American women with invasive breast cancer and 1647 African American control subjects in the Women's Contraceptive and Reproductive Experiences (CARE) Study were used to compute relative and attributable risks that were based on age at menarche, number of affected mother or sisters, and number of previous benign biopsy examinations. Absolute risks were obtained by combining this information with data on invasive breast cancer incidence in African American women from the NCI's Surveillance, Epidemiology and End Results Program and with national mortality data. Eligibility screening data from the Study of Tamoxifen and Raloxifene (STAR) trial were used to determine how the new model would affect eligibility, and independent data from the Women's Health Initiative (WHI) were used to assess how well numbers of invasive breast cancers predicted by the new model agreed with observed cancers. Results Tables and graphs for estimating relative risks and projecting absolute invasive breast cancer risk with confidence intervals were developed for African American women. Relative risks for family history and number of biopsies and attributable risks estimated from the CARE population were lower than those from the Breast Cancer Risk Assessment Tool, as was the discriminatory accuracy (i.e., concordance). Using eligibility screening data from the STAR trial, we estimated that 30.3% of African American women would have had 5-year invasive breast cancer risks of at least 1.66% by use of the CARE model, compared with only 14.5% by use of the Breast Cancer Risk Assessment Tool. The numbers of cancers predicted by the CARE model agreed well with observed numbers of cancers (i.e., it was well calibrated) in data from the WHI, except that it underestimated risk in African American women with breast biopsy examinations. Conclusions The CARE model usually gave higher risk estimates for African American women than the Breast Cancer Risk Assessment Tool and is recommended for counseling African American women regarding their risk of breast cancer.
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收藏
页码:1782 / 1792
页数:11
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