Abstract

BackgroundPathological complete response (pCR) is the goal of neoadjuvant chemotherapy (NACT). We aimed to develop a nomogram to predict the probability of achieving pCR in estrogen receptor-positive (ER+), HER2-negative (HER2−) breast cancer patients.MethodsA total of 273 ER+, HER2− breast cancer patients who received 4 cycles of thrice-weekly standard NACT in the First Affiliated Hospital of Chongqing Medical University were retrospectively enrolled. Univariate and multivariate logistic regression analyses were used to screen the predictive factors to develop the nomograms. The discrimination and calibration abilities were assessed by the C-index, receiver operating characteristic curve (AUC), and calibration plot.ResultsThere were 28 patients (10.3%) with overall pCR, 38 patients (13.9%) with breast pCR after NACT. ER expression, PgR expression, the neutrophil-to-lymphocyte ratio (NLR) and the Ki-67 index were independent predictive factors for achieving overall pCR. These indicators had good discrimination and calibration ability (AUC 0.843). The nomogram for breast pCR was established based on ER expression, PgR expression, the NLR, and the Ki-67 index and showed great discriminatory ability, with an AUC of 0.810. The calibration curve showed that the predictive ability of the nomogram was a good fit to actual observations.ConclusionThe nomograms exhibited a sufficient discriminatory ability for predicting pCR after NACT in ER+, HER2− breast cancer patients. Utilizing these nomograms will enable us to identify patients at high probability for pCR after NACT and provide a reference for preoperative adjuvant therapy.

Highlights

  • Breast cancer has become the most common cancer among women in the world

  • Overall Pathological complete response (pCR) and breast pCR were significantly associated with histological grade, estrogen receptor (ER), progesterone receptor (PgR), and Ki-67 (P < 0.05)

  • Prediction models for overall pCR in ER+, human epidermal growth factor receptor 2 (HER2)− breast cancer Based on univariate analysis, there were significant differences in ER (P = 0.006), PgR (P = 0.003), and Ki-67 (P = 0.022) for overall pCR

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Summary

Introduction

Breast cancer has become the most common cancer among women in the world. Compared with developed countries, more patients in China are diagnosed with advanced breast cancer (ABC) [1]. Primary locally advanced breast cancer (LABC) traditionally refers to inoperable nonmetastatic locally advanced breast cancer, Tang et al World Journal of Surgical Oncology (2022) 20:27 including T3/T4 tumors (diameter > 5 cm or invasion of the skin and chest wall), N2 axillary nodes, ipsilateral supraclavicular lymph node metastasis, and IBC [2]. Neoadjuvant chemotherapy (NACT), which is utilized before surgery and radiotherapy, is mainly used for the management of patients with LABC. Many studies have demonstrated that patients who achieve a pathological complete response (pCR) after NACT seem to have improved long-term outcomes [3,4,5]. Pathological complete response (pCR) is the goal of neoadjuvant chemotherapy (NACT). We aimed to develop a nomogram to predict the probability of achieving pCR in estrogen receptor-positive (ER+), HER2-negative (HER2−) breast cancer patients

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