Joellen M Schildkraut1, Lauren C Peres2, Traci N Bethea3, Fabian Camacho4, Deanna Chyn4, Emily K Cloyd4, Elisa V Bandera5, Alicia Beeghly-Fadiel6, Loren Lipworth6, Charlotte E Joslin7, Faith G Davis8, Patricia G Moorman9, Evan Myers10, Heather M Ochs-Balcom11, Veronica Wendy Setiawan12, Malcolm C Pike13, Anna H Wu14, Lynn Rosenberg3. 1. Department of Public Health Sciences, University of Virginia, PO Box 800765, Charlottesville, VA, 22903, USA. jms2yf@virginia.edu. 2. Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA. 3. Slone Epidemiology Center, Boston University, Boston, MA, USA. 4. Department of Public Health Sciences, University of Virginia, PO Box 800765, Charlottesville, VA, 22903, USA. 5. Department of Population Science, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA. 6. Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA. 7. Department of Ophthalmology and Visual Sciences, Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago School of Medicine, Chicago, IL, USA. 8. School of Public Health Sciences, University of Alberta, Edmonton, AB, Canada. 9. Department of Community and Family Medicine, Duke University Medical Center, Durham, NC, USA. 10. Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, USA. 11. Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA. 12. University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA. 13. Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA. 14. Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA.
Abstract
PURPOSE: Although the incidence rate of epithelial ovarian cancer (EOC) is somewhat lower in African American (AA) than white women, survival is worse. The Ovarian Cancer in Women of African Ancestry (OCWAA) consortium will overcome small, study-specific sample sizes to better understand racial differences in EOC risk and outcomes. METHODS: We harmonized risk factors and prognostic characteristics from eight U.S. STUDIES: the North Carolina Ovarian Cancer Study (NCOCS), the Los Angeles County Ovarian Cancer Study (LACOCS), the African American Cancer Epidemiology Study (AACES), the Cook County Case-Control Study (CCCCS), the Black Women's Health Study (BWHS), the Women's Health Initiative (WHI), the Multiethnic Cohort Study (MEC), and the Southern Community Cohort Study (SCCS). RESULTS: Determinants of disparities for risk and survival in 1,146 AA EOC cases and 2,922 AA controls will be compared to 3,368 white EOC cases and 10,270 white controls. Analyses include estimation of population-attributable risk percent (PAR%) by race. CONCLUSION: OCWAA is uniquely positioned to study the epidemiology of EOC in AA women compared with white women to address disparities. Studies of EOC have been underpowered to address factors that may explain AA-white differences in the incidence and survival. OCWAA promises to provide novel insight into disparities in ovarian cancer.
PURPOSE: Although the incidence rate of epithelial ovarian cancer (EOC) is somewhat lower in African American (AA) than white women, survival is worse. The Ovarian Cancer in Women of African Ancestry (OCWAA) consortium will overcome small, study-specific sample sizes to better understand racial differences in EOC risk and outcomes. METHODS: We harmonized risk factors and prognostic characteristics from eight U.S. STUDIES: the North Carolina Ovarian Cancer Study (NCOCS), the Los Angeles County Ovarian Cancer Study (LACOCS), the African American Cancer Epidemiology Study (AACES), the Cook County Case-Control Study (CCCCS), the Black Women's Health Study (BWHS), the Women's Health Initiative (WHI), the Multiethnic Cohort Study (MEC), and the Southern Community Cohort Study (SCCS). RESULTS: Determinants of disparities for risk and survival in 1,146 AA EOC cases and 2,922 AA controls will be compared to 3,368 white EOC cases and 10,270 white controls. Analyses include estimation of population-attributable risk percent (PAR%) by race. CONCLUSION: OCWAA is uniquely positioned to study the epidemiology of EOC in AA women compared with white women to address disparities. Studies of EOC have been underpowered to address factors that may explain AA-white differences in the incidence and survival. OCWAA promises to provide novel insight into disparities in ovarian cancer.
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