Identification of optimal biomarkers associated with distant metastasis in breast cancer using Boruta and Lasso machine learning algorithms

Identification of optimal biomarkers associated with distant metastasis in breast cancer using Boruta and Lasso machine learning algorithms

Abstract Objective The aim of this study was to identify optimal biomarkers associated with distant metastasis in patients with breast cancer from among nutritional and inflammatory indicators using the Boruta and Least Absolute Shrinkage and Selection Operator (LASSO) machine learning algorithms, t...

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Bibliographic Details
Main Authors: Jia-ning Qin, Wen-bin Dai, Wen-hai Zhang, Bin-jie Chen, Ling Liang, Chun-feng Liang, Chun-guo Lu, Qi-xing Tan, Chang-yuan Wei, Yang Tan, Fang Wu
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Cancer
Subjects:
Breast cancer
Distant metastasis
Biomarker
Boruta
LASSO
Online Access:https://doi.org/10.1186/s12885-025-14664-1
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