A multi-state survival model to identify risk factors for lethal ovarian cancer.

Authors

Mary K Townsend, A Heather Eliassen, Kathryn L Terry, Shelley S Tworoger, Bernard Rosner

Published in

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology. Jun 24, 2026. Epub Jun 24, 2026.

Abstract

Given primary prevention strategies for ovarian cancer, such as surgery and medications, have inherent risks, identifying those at high risk of lethal ovarian cancer is critical. We examined pre-diagnosis factors and risk of developing and dying from ovarian cancer among cancer-free women.
Analyses were conducted in three 12-year periods from 1980 to 2017 in the Nurses' Health Study (NHS) and NHSII cohorts. Potential risk factors were reproductive and hormonal variables, endometriosis history, smoking, low-dose aspirin, self-identified race, family history, depression, and adiposity over the life course. We used a multi-state survival model to estimate relative risks and 95% lower and upper confidence limits (RR, LCL-UCL) for lethal ovarian cancer among 211,420 cancer-free women, among whom 1,730 developed ovarian cancer and 660 died due to ovarian cancer in the same risk period as diagnosis.
Of the 22 exposures evaluated, 10 were associated with lethal ovarian cancer. For example, nulliparity had an amplified association with lethal ovarian cancer (1.62, 1.23-2.13) due to associations with both incidence and mortality in the same direction. Oral contraceptive use ≥10 versus 0 years was associated with lethal ovarian cancer (0.65, 0.43-0.97) primarily due to association with incidence while ≥20 versus 0 pack-years of smoking was associated with lethal ovarian cancer (1.25, 1.02-1.53) primarily due to the mortality relationship.
Several reproductive factors, depression, and self-identified race were associated with risk of lethal ovarian cancer.
Evaluations of lethal ovarian cancer risk must consider differential associations of exposures with incidence and mortality.

PMID:
42340350
Bibliographic data and abstract were imported from PubMed on 24 Jun 2026.

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