Establishment of Risk-Prediction Model for Axillary Lymph-Node Metastasis in Microinvasive Breast Cancer Based on SEER Database

2024

Zhongliu Fangzhi Yanjiu, Vol 51, Iss 9, Pp 750-755 (2024)

ObjectiveTo analyze the factors influencing axillary lymph-node metastasis (ALNM) in microinvasive breast cancer (MIBC) patients, as well as to establish the risk-prediction model of ipsilateral ALNM in MIBC patients. MethodsA total of 4475 primary female MIBC diagnosed by pathology from 2010 to 2015 were searched and screened from the SEER database. The obtained data were used to establish a prediction model for ALNM of MIBC. A total of 2266 primary female MIBC patients diagnosed by pathology from 2018 to 2020 in the SEER database were screened as the external validation cohort. The clinicopathological data of the enrolled MIBC patients were collected. Univariate analysis was used to screen out the factors affecting ALNM in MIBC patients. Statistically significant variables in univariate analysis were included in multivariate logistic regression analysis. The independent factors influencing ALNM in MIBC patients were screened out, and a nomogram was established. The area under the curve (AUC) was calculated by plotting the ROC curve. After plotting the calibration curve, the model was evaluated by Hosmer-Lemeshow goodness-of-fit test. ResultsA total of 309 patients were diagnosed with ipsilateral ALNM among the 6741 MIBC patients, accounting for about 4.58%. Univariate analysis of the modeling group showed that age, ethnicity, histological grade, pathological type, molecular subtype, and lateral side were associated with ALNM in MIBC patients (P

article

Chinese

Magazine House of Cancer Research on Prevention and Treatment, 2024.

seer database, microinvasive breast cancer, axillary lymph node metastasis, predictive model, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282