Pathways to Understanding Ovarian Cancer, Epidemiology, Genetic Susceptibility, and Survival

Abstract

Distinguishing whether traditional ovarian cancer risk factors differ by tissue of origin (ovarian vs. fallopian) may further our understanding of these pathways. Likely tissue of origin can be estimated from pathology reports by presence or absence of a two-fold difference in tumor size between ovaries. We applied this classification algorithm to ovarian cancer cases in a population based case-control study (NEC) and two prospective cohort studies (NHS/NHSII). We used polytomous logistic regression (for NEC) and competing risks models (for NHS) to estimate associations. Among the 1801 invasive epithelial cases, we observed 1127 tumors with a dominant mass, indicating a greater likelihood of ovarian origin, and 674 with no dominant mass, indicating a greater likelihood of fallopian tube origin. The dominant cases were more likely to be mucinous, endometrioid, clear cell, or undifferentiated while the non-dominant cases were more likely to be serous invasive ovarian cancers. Our results suggest that tubal ligation and parity may be more strongly associated with tumors of ovarian origin, while family history of ovarian cancer and possibly past smoking primarily increases risk of tumors of tubal origin. Furthermore, our data suggest aspirin and NSAID use may be more strongly associated with tubal tumors.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2011
Accession Number
ADA549256

Entities

People

  • Kathyrn L. Terry

Organizations

  • Brigham and Women's Hospital

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Biomedical Research
  • Breast Cancer
  • Data Analysis
  • Department Of Defense
  • Diseases And Disorders
  • Epidemiology
  • Gynecologic Cancers
  • Health
  • Health Services
  • Ligation
  • Neoplasms
  • New England
  • New Hampshire
  • Ovarian Cancer
  • Risk Factors
  • United States

Fields of Study

  • Medicine

Readers

  • Oncology (Cancer Research).
  • Regression Analysis.
  • Women's Health and Cancer Risk Research: African American Women and Pregnancy Outcomes.

Technology Areas

  • Biotechnology