A case-case analysis of women with breast cancer: predictors of interval vs screen-detected cancer

Autor: Irene Acerbi, Laura J. van't Veer, Jeffrey A. Tice, Yiwey Shieh, Edward Hadeler, Fiona M McAuley, Michelle E. Melisko, Martin Eklund, Nickolas Dreher, Laura J. Esserman, Madeline B. Matthys
Rok vydání: 2022
Předmět:
Zdroj: Breast cancer research and treatment, vol 191, iss 3
Breast Cancer Res Treat
Popis: PurposeThe Breast Cancer Surveillance Consortium (BCSC) model is a widely used risk model that predicts 5- and 10-year risk of developing invasive breast cancer for healthy women aged 35-74years. Women with high BCSC risk may also be at elevated risk to develop interval cancers, which present symptomatically in the year following a normal screening mammogram. We examined the association between high BCSC risk (defined as the top 2.5% by age) and breast cancers presenting as interval cancers.MethodsWe conducted a case-case analysis among women with breast cancer in which we compared the mode of detection and tumor characteristics of patients in the top 2.5% BCSC risk by age with age-matched (1:2) patients in the lower 97.5% risk. We constructed logistic regression models to estimate the odds ratio (OR) of presenting with interval cancers, and poor prognosis tumor features, between women from the top 2.5% and bottom 97.5% of BCSC risk.ResultsOur analysis included 113 breast cancer patients in the top 2.5% of risk for their age and 226 breast cancer patients in the lower 97.5% of risk. High-risk patients were more likely to have presented with an interval cancer within one year of a normal screening, OR 6.62 (95% CI 3.28-13.4, p
Databáze: OpenAIRE