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
Division of Cancer Epidemiology and Genetics, National Cancer Institute, Executive Plaza South Rm 8032, Bethesda, MD 20892-7244, USA.
J Natl Cancer Inst. 2007 Dec 5;99(23):1782-92. doi: 10.1093/jnci/djm223. Epub 2007 Nov 27.
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.
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.
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.
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.
美国国立癌症研究所(NCI)的乳腺癌风险评估工具被广泛用于咨询以及确定乳腺癌预防试验的入选资格,尽管其对预测非裔美国女性的风险的有效性尚不确定。我们开发了一个用于预测非裔美国女性浸润性乳腺癌绝对风险的模型,并将其预测结果与乳腺癌风险评估工具的预测结果进行比较。
来自“女性避孕与生殖经历(CARE)研究”中的1607名患有浸润性乳腺癌的非裔美国女性和1647名非裔美国对照受试者的数据,用于计算基于初潮年龄、患乳腺癌的母亲或姐妹数量以及既往良性活检检查次数的相对风险和归因风险。通过将这些信息与来自NCI的监测、流行病学和最终结果计划中有关非裔美国女性浸润性乳腺癌发病率的数据以及国家死亡率数据相结合,得出绝对风险。“他莫昔芬与雷洛昔芬(STAR)试验”的入选筛查数据用于确定新模型将如何影响入选资格,而来自“妇女健康倡议(WHI)”的独立数据则用于评估新模型预测的浸润性乳腺癌病例数与观察到的病例数的吻合程度。
为非裔美国女性制定了用于估计相对风险和预测具有置信区间的浸润性乳腺癌绝对风险的表格和图表。从CARE人群中估计的家族史和活检次数的相对风险以及归因风险低于乳腺癌风险评估工具得出的结果,鉴别准确性(即一致性)也是如此。使用STAR试验的入选筛查数据,我们估计,采用CARE模型,30.3%的非裔美国女性5年浸润性乳腺癌风险至少为1.66%,而采用乳腺癌风险评估工具时这一比例仅为14.5%。在WHI的数据中,CARE模型预测的癌症病例数与观察到的癌症病例数吻合良好(即校准良好),只是它低估了接受过乳腺活检检查的非裔美国女性的风险。
与乳腺癌风险评估工具相比,CARE模型通常对非裔美国女性给出更高的风险估计,建议用于为非裔美国女性提供乳腺癌风险咨询。