Validation of a Clinical and Polygenic Risk Prediction Model for Ovarian Cancer in the Nurses’ Health Study

In this study, we have validated the predictive performance of a combined clinical and polygenic model for ovarian cancer. Accurate risk assessment enables more efficient allocation of preventive interventions, including intensified surveillance and consideration of risk-reducing salpingo-oophorectomy among women at elevated risk.

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Publication Details

Journal
Cancer Prevention Research
Published
2025-11-11
DOI
https://doi.org/10.1158/1940-6207.capr-24-0528
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Validation of a Clinical and Polygenic Risk Prediction Model for Ovarian Cancer in the Nurses’ Health Study

Erika L. Spaeth, BERNARD A. ROSNER, Gillian S. Dite, Krishna Patel
Cancer Prevention Research
Ovarian cancer diagnosis and treatment
article

Validation of a Clinical and Polygenic Risk Prediction Model for Ovarian Cancer in the Nurses’ Health Study

Erika L. Spaeth, BERNARD A. ROSNER, Gillian S. Dite, Krishna Patel
article en

Abstract

In this study, we have validated the predictive performance of a combined clinical and polygenic model for ovarian cancer. Accurate risk assessment enables more efficient allocation of preventive interventions, including intensified surveillance and consideration of risk-reducing salpingo-oophorectomy among women at elevated risk.

Cancer Prevention ResearchVol. 19(2)
Brigham and Women's Hospital (US), Heart Rhythm Society (US), AgriBio (AU)
National Institutes of Health
Openalex Percentile: Top 56%
Ovarian cancer diagnosis and treatment
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