The first breast cancer risk-prediction model based entirely on data from Hispanic women, including whether a woman was born in or outside of the United States, provided a more accurate assessment of Hispanic women's risk of developing breast cancer compared with existing models based on data from non-Hispanic women, according to a study presented at the Eighth American Association for Cancer Research (AACR) Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved, held Nov. 13-16.
"Currently, there is no breast cancer risk-prediction model for Hispanic women," said Matthew P. Banegas, PhD, MPH, investigator with Kaiser Permanente Center for Health Research in Portland, Oregon, and primary author of the study. "We developed a model based on data on ethnicity, nativity, and breast cancer risk factors, as well as incidence and mortality rates in Hispanic women, which allowed us to create a more specific tool to predict their risk of developing invasive breast cancer."
Presently, physicians and researchers use the Breast Cancer Risk Assessment Tool (BRCAT) from the National Cancer Institute (NCI) to estimate risk, counsel patients, and design breast cancer prevention trials. However, since it is based, in part, on data from women of other races and ethnicities, it does not accurately reflect the risk of breast cancer in Hispanic women, and tends to underestimate their risk, Banegas said.
"The goal of our work is to enable Hispanic women to better understand their risk of developing invasive breast cancer. They will be able to discuss this information with their physician and what it means for them specifically," added Banegas.
Factors that are incorporated into the new prediction model include:
Banegas and colleagues used data from the San Francisco Bay Area Breast Cancer Study, focusing on 1,086 Hispanic women with breast cancer and 1,411 without breast cancer, to develop a Hispanic-specific breast cancer risk-prediction model. They separated the women into two groups: those who were born in the United States and those who were born outside the United States, then estimated risks for both groups, applying their estimates to incidence and mortality data from the California Cancer Registry and the NCI's Surveillance, Epidemiology, and End Results (SEER) program. The researchers validated their prediction model, in part, against data from Hispanic women in the Women's Health Initiative, and found that the model was well calibrated for Hispanic women born in the United States, but overestimated the risk in foreign-born Hispanic women. Prior research has shown that foreign-born Hispanic women have about half the breast cancer risk of U.S.-born Hispanic women.
Since the model was developed using data from women in the San Francisco Bay area, it will be most applicable to women in that region, Banegas said. As researchers gather more data from Hispanic women in other parts of the United States and from those born outside the United States, those data should be incorporated into the model to increase the accuracy for those populations.
Materials provided by American Association for Cancer Research. Note: Content may be edited for style and length.
Cite This Page: