Prediction of axillary lymph node metastasis in triple-negative breast cancer by multi-omics analysis and an integrated model.

ABSTRACT:

Background

To avoid unnecessary postoperative complications, it is essential to select breast cancer patients without axillary lymph node (LN) metastasis who might be eligible for exemption from sentinel lymph node biopsy (SLNB). However, the lymph node metastasis (LNM) of triple-negative breast cancer (TNBC) is difficult to predict if only considering clinical parameters. Hence, by investigating the difference between LN positive and LN negative patients, we aimed to build a multi-omics model able to better predict LNM in TNBC.

Methods

A total of 445 TNBC patients with lymph node status and multi-omics data were enrolled and divided into training and validation sets. We analyzed both clinicopathological characteristics and multi-omics data to search for robust biomarkers, w

SUBMITTER: Li SY 

PROVIDER: S-EPMC9263764 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature