Systematic analysis of parameters predicting pathological axillary status (ypN0 vs. ypN+) in patients with breast cancer converting from cN+ to ycN0 through primary systemic therapy (PST).

Systematic analysis of parameters predicting pathological axillary status (ypN0 vs. ypN+) in patients with breast cancer converting from cN+ to ycN0 through primary systemic therapy (PST). Clin Exp Metastasis. 2018 Oct 15;: Authors: Liedtke C, Kolberg HC, Kerschke L, Görlich D, Bauerfeind I, Fehm T, Fleige B, Helms G, Lebeau A, Stäbler A, Schmatloch S, Hausschild M, Schwentner L, von Minckwitz G, Loibl S, Untch M, Kühn T Abstract Optimization of axillary staging among patients converting from clinically node-positive disease to clinically node-negative disease through primary systemic therapy is needed. We aimed at developing a nomogram predicting the probability of positive axillary status after chemotherapy based on clinical/pathological parameters. Patients from study arm C of the SENTINA trial were included. Univariable/multivariable analyses were performed for 13 clinical/pathological parameters to predict a positive pathological axillary status after chemotherapy using logistic regression models. Odds ratios and 95%-confidence-intervals were reported. Model performance was assessed by leave-one-out cross-validation. Calculations were performed using the SAS Software (Version 9.4, SAS Institute Inc., Cary, NC, USA). 369 of 553 patients in Arm C were included in multivariable analysis. Stepwise backward variable selection based on a multivariable analysis resulted in a model including estrogen receptor (ER) status (odds ratio ...
Source: Clinical Genitourinary Cancer - Category: Cancer & Oncology Authors: Tags: Clin Exp Metastasis Source Type: research