Nomogram for Predicting Lymph Node Involvement in Triple-Negative Breast Cancer
Xiang Cui1, Hao Zhu1, Jisheng Huang1
1Department of Thyroid and Breast Surgery, The First People's Hospital of Shangqiu, Shangqiu, China.
Frontiers in Oncology
|December 21, 2020
Summary
A new nomogram can predict lymph node metastasis in triple-negative breast cancer (TNBC) patients. This tool uses factors like age and tumor size to aid staging and treatment decisions.
Area of Science:
- Oncology
- Medical Informatics
Background:
- Lymph node metastasis is critical for triple-negative breast cancer (TNBC) treatment planning.
- Predicting metastasis aids in formulating effective therapeutic strategies for TNBC patients.
Purpose of the Study:
- To develop and validate a predictive nomogram for lymph node metastasis in TNBC.
- To identify key clinical and pathological factors associated with lymph node involvement in TNBC.
Main Methods:
- Utilized data from 28,966 TNBC patients in the SEER database (2010-2017).
- Split data into training and validation sets (1:1 ratio).
- Employed univariate and multivariate logistic regression to identify predictive factors for the nomogram.
Main Results:
- Identified age, race, tumor size, primary tumor site, and pathological grade as independent predictors of lymph node status.
- Developed a nomogram with satisfactory predictive performance (AUC 0.684 in training, 0.689 in validation).
Conclusions:
- A validated nomogram for predicting lymph node status in TNBC patients has been successfully constructed.
- Further validation in larger cohorts is recommended to enhance its utility for TNBC staging and personalized treatment.
