Proposing a novel molecular subtyping scheme for predicting distant recurrence-free survival in breast cancer post-neoadjuvant chemotherapy with close correlation to metabolism and senescence

Proposing a novel molecular subtyping scheme for predicting distant recurrence-free survival in breast cancer post-neoadjuvant chemotherapy with close correlation to metabolism and senescence

BackgroundHigh relapse rates remain a clinical challenge in the management of breast cancer (BC), with distant recurrence being a major driver of patient deterioration. To optimize the surveillance regimen for distant recurrence after neoadjuvant chemotherapy (NAC), we conducted a comprehensive anal...

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Bibliographic Details
Main Authors: Jin Huang, Jian-Lin Zhang, Lin Ang, Ming-Cong Li, Min Zhao, Yao Wang, Qiang Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Endocrinology
Subjects:
breast cancer
bioinformatics analysis
biomarker
neoadjuvant therapy
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2023.1265520/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2023.1265520/full

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