Development and validation of a metabolic syndrome and its components to predict the efficacy of neoadjuvant chemotherapy in breast cancer: An observational, single-center, cohort study

Abstract

To assess whether metabolic syndrome can be used as a reference index to evaluate the efficacy of neoadjuvant chemotherapy treatment for breast cancer (BC). Seventy cases of female BC patients who received neoadjuvant chemotherapy treatment and surgical treatment at the Glandular Surgery Department of Hebei Provincial People's Hospital from January 2021 to December 2023 were retrospectively collected, and clinical data such as puncture pathology were recorded. The clinical data were analyzed by 1-way analysis using the χ2 test, and further multifactorial logistic regression analysis was performed for statistically significant differences. The independent risk factor metabolic syndrome (MetS) and its components were plotted in the receiver operating characteristic curve (ROC) curve and baseline graph by R Studio 4.41 software, and the meaningful components were plotted in the column graph by lasso regression analysis for internal validation, and the quality of the model was evaluated by the ROC curve and calibration graph, and then the clinical decision curve analysis was used to evaluate the clinical effectiveness of the model. The neoadjuvant efficacy was statistically associated with whether the patient was first diagnosed between 45 and 55 years of age, estrogen receptors (ER), progesterone receptors (PR) expression status, Her-2 expression status, and whether the patient had MetS, as determined by univariate analysis through χ2 (P