Construction of a circadian rhythm-related gene signature for predicting the prognosis and immune infiltration of breast cancer

Construction of a circadian rhythm-related gene signature for predicting the prognosis and immune infiltration of breast cancer

ObjectivesIn this study, we constructed a model based on circadian rhythm associated genes (CRRGs) to predict prognosis and immune infiltration in patients with breast cancer (BC).Materials and methodsBy using TCGA and CGDB databases, we conducted a comprehensive analysis of circadian rhythm gene ex...

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Bibliographic Details
Main Authors: Lin Ni, He Li, Yanqi Cui, Wanqiu Xiong, Shuming Chen, Hancong Huang, Zhiwei Wang, Hu Zhao, Bing Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Molecular Biosciences
Subjects:
breast cancer
circadian rhythm
machine learning
a risk model
predict prognosis
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2025.1540672/full
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