Initially, we proposed to evaluate associations of ovarian cancer risk factors by tumor heterogeneity using pooled data from over 20 cohorts. We will evaluate the following specific aims:


Aim 1:

Associations of risk factors with invasive ovarian cancer, including (but not limited to) age, oral contraceptive use (OC), tubal ligation, parity, postmenopausal hormone use, family history of ovarian cancer, BMI, height, analgesic use, and lifetime ovulatory cycles, analgesic use, asthma, auto-immune disease, diabetes cardiovascular disease, pollution, steroids, antibiotics, bisphosphonates, markers of psychosocial stress (depression, anxiety, social isolation, etc.), markers of social factor (e.g., census track linked SES measures), dietary factors, and other exposures approved by the OC3 Steering Committee, by:


  • Histologic subtype
  • Tumor dominance
  • Tumor aggressiveness
  • Anatomic location of tumor
  • Other, as yet undetermined markers of tumor heterogeneity defined from pathology reports or tumor assays
Aim 2:

Develop ovarian cancer risk prediction models accounting for differential associations by cancer phenotype.


Aim 3:

Improve understanding of the impact of pre- and post-diagnosis exposures, and their interactions with tumor subtype, on survival.