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Dataset Information

Comparison of three lymph node staging methods for predicting outcome in breast cancer patients with mastectomy.


ABSTRACT:

Background

Axillary lymph node (ALN) staging is essential in predicting the clinical outcome of breast cancer (BC) patients. Traditionally, it follows the tumor-node-metastasis (TNM) staging, but its accuracy needs further improvement.

Methods

A total of 9,616 BC patients from the Surveillance, Epidemiology, and End Results (SEER) database and 675 patients from the First Affiliated Hospital of China Medical University underwent mastectomy together with ALN dissection were reviewed. Univariate and multivariate logistic analyses were conducted to find the most meaningful factors relevant to prognosis.

Results

After univariate and multivariate analyses, age, race, primary site, radiation, chemotherapy, grade, T-stage, estrogen receptor (ER), progesterone receptor (PR), t

SUBMITTER: Wang MS 

PROVIDER: S-EPMC7944312 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature