Ovarian Cancer in Women of African Ancestry (OCWAA) consortium: a resource of harmonized data from eight epidemiologic studies of African American and white women

Joellen M. Schildkraut, Lauren C. Peres, Traci N. Bethea, Fabian Camacho, Deanna Chyn, Emily K. Cloyd, Elisa V. Bandera, Alicia Beeghly-Fadiel, Loren Lipworth, Charlotte E. Joslin, Faith G. Davis, Patricia G. Moorman, Evan Myers, Heather M. Ochs-Balcom, Veronica Wendy Setiawan, Malcolm C. Pike, Anna H. Wu, Lynn Rosenberg

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)967-978
Number of pages12
JournalCancer Causes and Control
Volume30
Issue number9
DOIs
StatePublished - Sep 1 2019

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

Keywords

  • Disparities
  • Ovarian cancer
  • Race
  • Risk
  • Survival

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