P315 Acceptance and adherence with oral endocrine therapy in women with metastatic breast cancer: ExaCampania group study

Goals: Prognostic models or nomograms of early breast cancer could not be applied in neoadjuvant setting, because neoadjuvant chemotherapy (NAC) alters potential prognostic factor. The aim of this study was to combine clinical pathologic variables that are associated with pathologic complete response (pCR) and relapse-free survival (RFS) after NAC into prediction nomograms. Methods: A total of 370 stage II or III breast cancer patients who received neoadjuvant docetaxel/doxorubicin chemotherapy were enrolled in this study. We developed the nomograms using logistic regression model for pCR and Cox proportional hazard regression model for RFS. Results: The nomogram for pCR based on initial tumor size, estrogen receptor (ER), human epidermal growth factor receptor 2, and Ki67 had good discrimination performance (AUROC=0.830). Multivariate Cox model identified age less than 35, initial clinical stage, pathologic stage, ER, Ki67 as prognostic factors, and the nomogram for RFS was developed based on these covariates. The concordance index for the second nomogram was 0.781, and calibration was also good. Conclusion: We developed nomograms based on clinical and pathologic characteristics to predict the probability of pCR and RFS for patients receiving neoadjuvant docetaxel/doxorubicin chemotherapy. We suggest that these nomograms allow individualized outcome prediction, which could aid clinicians in decision making process. Disclosure of Interest: None Declared