Model for Individualized Prediction of Breast Cancer Risk After a Benign Breast Biopsy
Menée sur 377 patientes atteintes d'un cancer du sein et sur 734 témoins, puis validée sur 1 106 autres patientes (378 cas et 728 témoins), cette étude évalue, par rapport au "Breast Cancer Risk Assessment Tool", la performance d'un modèle mathématique utilisant des données histologiques et des données démographiques pour prédire le risque de cancer chez les patientes présentant une maladie bénigne du sein
Purpose : Optimal early detection and prevention for breast cancer depend on accurate identification of women at increased risk. We present a risk prediction model that incorporates histologic features of biopsy tissues from women with benign breast disease (BBD) and compare its performance to the Breast Cancer Risk Assessment Tool (BCRAT).
Methods : We estimated the age-specific incidence of breast cancer and death from the Mayo BBD cohort and then combined these estimates with a relative risk model derived from 377 patient cases with breast cancer and 734 matched controls sampled from the Mayo BBD cohort to develop the BBD–to–breast cancer (BBD-BC) risk assessment tool. We validated the model using an independent set of 378 patient cases with breast cancer and 728 matched controls from the Mayo BBD cohort and compared the risk predictions from our model with those from the BCRAT.
Results : The BBD-BC model predicts the probability of breast cancer in women with BBD using tissue-based and other risk factors. The concordance statistic from the BBD-BC model was 0.665 in the model development series and 0.629 in the validation series; these values were higher than those from the BCRAT (0.567 and 0.472, respectively). The BCRAT significantly underpredicted breast cancer risk after benign biopsy (P = .004), whereas the BBD-BC predictions were appropriately calibrated to observed cancers (P = .247).
Conclusion : We developed a model using both demographic and histologic features to predict breast cancer risk in women with BBD. Our model more accurately classifies a woman's breast cancer risk after a benign biopsy than the BCRAT.
Journal of Clinical Oncology , résumé, 2015