Development of the Ovarian Cancer Cohort Consortium: Risk Factor Associations by Heterogeneity of Disease

Abstract

The objective of this application is to study the etiologic heterogeneity of ovarian cancer in multiple cohorts and to build the infrastructure of the Ovarian Cancer Cohort Consortium (OC3), an international consortium of cohort studies, to address scientific aims important for understanding ovarian cancer risk, early detection, and tumor heterogeneity that are only feasible in a consortium setting. Specifically we will examine associations of risk factors with invasive ovarian cancer, including (but not limited to) age, OCs, tubal ligation, parity, postmenopausal hormone use, family history of ovarian cancer, BMI, height, analgesic use, and lifetime ovulatory cycles, differ by histologic subtype, tumor dominance (as a surrogate for cell of origin), and tumor aggressiveness (tumors fatal within three years vs. all others). Then we will determine if risk prediction models for ovarian cancer can be improved by accounting for differential associations by cancer phenotype. In addition, the proposed efforts will create an infrastructure with a core dataset of important variables for ovarian cancer epidemiology that will be available for future efforts to study ovarian cancer risk, including projects that will use prospectively collected biological specimens. Currently, 22 cohorts have agreed to participate in the OC3. We have executed data use agreements between the Brigham and Women s Hospital (data coordinating center) with 15 cohorts; 4 cohorts do not require an agreement. We have received data from 17 cohorts, with 2 cohorts actively preparing data. Once the data use agreements have been finalized for the final 3 cohorts, we will work to receive those data. Data harmonization is nearly complete for the cohorts for which we have received data. Preliminary analyses of primary ovarian cancer risk factors (e.g., oral contraceptive use, parity) are on-going to ensure that the expected associations are observed and to determine whether additional data cleaning is needed.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2013
Accession Number
ADA597887

Entities

People

  • Shelley S. Tworoger

Organizations

  • Brigham and Women's Hospital

Tags

DTIC Thesaurus Topics

  • Agreements
  • Biospecimens
  • Cancer
  • Consortiums
  • Data Analysis
  • Data Sets
  • Detection
  • Diseases And Disorders
  • Genetics
  • Health
  • Health Care
  • Health Services
  • Ligation
  • Medical Personnel
  • Neoplasms
  • Public Health
  • Risk Factors

Fields of Study

  • Medicine

Readers

  • Clinical Trial Research.
  • Women's Health and Cancer Risk Research: African American Women and Pregnancy Outcomes.