Development of a nomogram for predicting pathological complete response in luminal breast cancer patients following neoadjuvant chemotherapy.

ABSTRACT:

Background

Given the low chance of response to neoadjuvant chemotherapy (NACT) in luminal breast cancer (LBC), the identification of predictive factors of pathological complete response (pCR) represents a challenge. A multicenter retrospective analysis was performed to develop and validate a predictive nomogram for pCR, based on pre-treatment clinicopathological features.

Methods

Clinicopathological data from stage I-III LBC patients undergone NACT and surgery were retrospectively collected. Descriptive statistics was adopted. A multivariate model was used to identify independent predictors of pCR. The obtained log-odds ratios (ORs) were adopted to derive weighting factors for the predictive nomogram. The receiver operating characteristic analysis was applied to determine th

SUBMITTER: Garufi G 

PROVIDER: S-EPMC10017935 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature