Dataset Information

Projecting Individualized Absolute Invasive Breast Cancer Risk in US Hispanic Women.

ABSTRACT:

Background

There is no model to estimate absolute invasive breast cancer risk for Hispanic women.

Methods

The San Francisco Bay Area Breast Cancer Study (SFBCS) provided data on Hispanic breast cancer case patients (533?US-born, 553 foreign-born) and control participants (464?US-born, 947 foreign-born). These data yielded estimates of relative risk (RR) and attributable risk (AR) separately for US-born and foreign-born women. Nativity-specific absolute risks were estimated by combining RR and AR information with nativity-specific invasive breast cancer incidence and competing mortality rates from the California Cancer Registry and Surveillance, Epidemiology, and End Results program to develop the Hispanic risk model (HRM). In independent data, we assessed model calibration through observed/expected (O/E) ratios, and we estimated discriminatory accuracy with the area under the receiver operating characteristic curve (AUC) statistic.

Results

The US-born HRM included age at first full-term pregnancy, biopsy for benign breast disease, and family history of breast cancer; the foreign-born HRM also included age at menarche. The HRM estimated lower risks than the National Cancer Institute's Breast Cancer Risk Assessment Tool (BCRAT) for US-born Hispanic women, but higher risks in foreign-born women. In independent data from the Women's Health Initiative, the HRM was well calibrated for US-born women (observed/expected [O/E] ratio = 1.07, 95% confidence interval [CI] = 0.81 to 1.40), but seemed to overestimate risk in foreign-born women (O/E ratio = 0.66, 95% CI?=?0.41 to 1.07). The AUC was 0.564 (95% CI?=?0.485 to 0.644) for US-born and 0.625 (95% CI?=?0.487 to 0.764) for foreign-born women.

Conclusions

The HRM is the first absolute risk model that is based entirely on data specific to Hispanic women by nativity. Further studies in Hispanic women are warranted to evaluate its validity.

SUBMITTER: Banegas MP

PROVIDER: S-EPMC5174188 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Projecting Individualized Absolute Invasive Breast Cancer Risk in US Hispanic Women.

Banegas Matthew P MP John Esther M EM Slattery Martha L ML Gomez Scarlett Lin SL Yu Mandi M LaCroix Andrea Z AZ Pee David D Chlebowski Rowan T RT Hines Lisa M LM Thompson Cynthia A CA Gail Mitchell H MH

Journal of the National Cancer Institute 20161220 2

<h4>Background</h4>There is no model to estimate absolute invasive breast cancer risk for Hispanic women.<h4>Methods</h4>The San Francisco Bay Area Breast Cancer Study (SFBCS) provided data on Hispanic breast cancer case patients (533 US-born, 553 foreign-born) and control participants (464 US-born, 947 foreign-born). These data yielded estimates of relative risk (RR) and attributable risk (AR) separately for US-born and foreign-born women. Nativity-specific absolute risks were estimated by comb ...[more]

PMID: 28003316

Similar Datasets

Project description:BackgroundThe Breast Cancer Risk Assessment Tool (BCRAT) of the National Cancer Institute is widely used for estimating absolute risk of invasive breast cancer. However, the absolute risk estimates for Asian and Pacific Islander American (APA) women are based on data from white women. We developed a model for projecting absolute invasive breast cancer risk in APA women and compared its projections to those from BCRAT.MethodsData from 589 women with breast cancer (case patients) and 952 women without breast cancer (control subjects) in the Asian American Breast Cancer Study were used to compute relative and attributable risks based on the age at menarche, number of affected mothers, sisters, and daughters, and number of previous benign biopsies. Absolute risks were obtained by combining this information with ethnicity-specific data from the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) program and with US ethnicity-specific mortality data to create the Asian American Breast Cancer Study model (AABCS model). Independent data from APA women in the Women's Health Initiative (WHI) were used to check the calibration and discriminatory accuracy of the AABCS model.ResultsThe AABCS model estimated absolute risk separately for Chinese, Japanese, Filipino, Hawaiian, Other Pacific Islander, and Other Asian women. Relative and attributable risks for APA women were comparable to those in BCRAT, but the AABCS model usually estimated lower-risk projections than BCRAT in Chinese and Filipino, but not in Hawaiian women, and not in every age and ethnic subgroup. The AABCS model underestimated absolute risk by 17% (95% confidence interval = 1% to 38%) in independent data from WHI, but APA women in the WHI had incidence rates approximately 18% higher than those estimated from the SEER program.ConclusionsThe AABCS model was calibrated to ethnicity-specific incidence rates from the SEER program for projecting absolute invasive breast cancer risk and is preferable to BCRAT for counseling APA women.

Dataset Information

Projecting Individualized Absolute Invasive Breast Cancer Risk in US Hispanic Women.

Background

Methods

Results

Conclusions

Publications

Projecting Individualized Absolute Invasive Breast Cancer Risk in US Hispanic Women.

Similar Datasets

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