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Updated: Nov 25, 2025

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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
PubMed
Summary
This summary is machine-generated.

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.

Keywords:
Epidemiology and End ResultsSurveillancelymph node involvementnomogrampredictiontriple-negative breast cancer

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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.