@article{TCR122357,
author = {Jianping Long and Xiaoke Chai and Tao Zhang and Chongyi Wei and Tao Yang and Haicun Zhou and Xiufen Ma},
title = {Development and Internal Validation of a Nomogram for Predicting Neoadjuvant Therapy Efficacy in Breast Cancer Based on the HALP Score},
journal = {Translational Cancer Research},
volume = {0},
number = {0},
year = {2026},
keywords = {},
abstract = {Background: Hemoglobin-albumin-lymphocyte-platelet (HALP) score is a composite index reflecting patients' immune, nutritional, and inflammatory status, which has been associated with breast cancer prognosis. However, its value in predicting neoadjuvant therapy (NAT) efficacy in the overall breast cancer population remains controversial and understudied. This study aims to explore the relationship between preoperative HALP score and NAT efficacy in breast cancer patients and develop a predictive nomogram.Methods: Clinicopathological data of 314 breast cancer patients who received NAT and mastectomy between January 2013 and November 2024 were retrospectively collected. Propensity score matching (PSM) was used to balance baseline characteristics between high-HALP and low-HALP groups. Detailed PSM balance assessment with standardized mean difference (SMD) and caliper justification were supplemented, and missing data mechanism and potential bias of complete-case analysis were discussed. A nomogram was constructed based on multivariate Logistic regression analysis. Receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA) were used to evaluate the model's performance. Kaplan-Meier curves were applied to compare disease-free survival (DFS) and overall survival (OS) between groups before and after PSM, as well as between different point stratification groups based on the nomogram.Results: After PSM, 226 patients were included, with 113 in each group. Multivariate Logistic regression confirmed that a low HALP score was an independent negative predictor of pathological complete response (pCR, defined as ypT0/is ypN0) (odds ratio, OR=0.42, 95%CI: 0.19–0.92, P=0.029), while positive HER2 status was an independent positive predictor (OR=5.00, 95%CI: 1.93–12.92, P},
issn = {2219-6803}, url = {https://tcr.amegroups.org/article/view/122357}
}