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Published on: October 14, 2015
Current Gaps in Ovarian Cancer Epidemiology: The Need for New Population-Based Research
, Jennifer A Doherty1, Allan Jensen1
1Affiliations of authors: Huntsman Cancer Institute, Department of Population Health Sciences, University of Utah, Salt Lake City, UT (JAD); Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark (AJ); Department of Public Health Sciences and Hollings Cancer Center, Medical University of South Carolina, Charleston, SC (LEK); Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI (CLP); Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA (CLP); Channing Division of Network Medicine (EP, SST) and Obstetrics and Gynecology Epidemiology Center (KLT), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA (EP, SST, KLT); Department of Public Health Sciences, University of Virginia, Charlottesville, CA (JMS); Population Health Department, QIMR Berghofer Medical Research Institute, Herston, Australia (PMW); Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (NW).
Preventing ovarian cancer and improving survival are key goals. New research approaches are needed to understand changing exposures and identify modifiable risk factors for better outcomes.
Area of Science:
- Epidemiology
- Oncology
- Genetics
Background:
- Ovarian cancer screening trials show limited mortality benefits, necessitating focus on prevention and survival.
- Current research faces challenges due to outdated exposure data and lack of histotype-specific analysis.
- Identifying novel, modifiable risk factors is crucial for effective population-level prevention strategies.
Purpose of the Study:
- To highlight critical knowledge gaps in ovarian cancer epidemiology.
- To propose innovative approaches for advancing research in ovarian cancer prevention and survival.
- To advocate for collaborative, prospective studies with integrated data collection.
Main Methods:
- Review of current challenges in ovarian cancer epidemiologic research.
- Proposal for updated tumor classification and collection of contemporary exposure data.
- Emphasis on large-scale, collaborative studies with diverse populations and longer follow-up.
Main Results:
- Existing studies often lack data on recent exposure changes (e.g., oral contraceptives, IUDs).
- Ovarian cancer risk factors require evaluation within specific tumor histotypes.
- There is a need for novel modifiable risk factors beyond established ones like childbearing.
Conclusions:
- Advancing ovarian cancer research requires updated tumor classifications and data on evolving exposures.
- Prospective, collaborative studies are essential for robust pooled analyses and improved risk prediction.
- Integrating diverse populations and longer follow-up will enhance understanding for better prevention and survival outcomes.
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