Development and Validation of a Nomogram for Predicting Response to Neoadjuvant Chemotherapy in Patients with Breast Cancer

1. Abstract

1.1. Purpose: The objective of our study is to construct and validate a nomogram for predicting NAC efficacy in breast cancer patients.

1.2. Methods: Retrospective analysis of clinical data on female patients with breast cancer was performed. Model 1 was developed by entering variables from the univariate analysis (P < 0.1) into a multivariate logistic regression analysis. Model 2 was developed via the stepwise forward-backward variable selection technique in partial least squares regression. For model 3, the least absolute shrinkage and selection operator (LASSO) method was used to choose suitable variables, followed by the multivariate logistic regression analysis.