Integrating machine learning algorithms to systematically assess reactive oxygen species levels to aid prognosis and novel treatments for triple -negative breast cancer patients

INTRODUCTION: Breast cancer has become one of the top health concerns for women, and triple-negative breast cancer (TNBC) leads to treatment resistance and poor prognosis due to its high degree of heterogeneity and malignancy. Reactive oxygen species (ROS) have been found to play a dual role in tumo...

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Detalles Bibliográficos
Autores principales: Li, Juan, Liang, Yu, Zhao, Xiaochen, Wu, Chihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Immunology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315494/
https://www.ncbi.nlm.nih.gov/pubmed/37404810
http://dx.doi.org/10.3389/fimmu.2023.1196054

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315494/
https://www.ncbi.nlm.nih.gov/pubmed/37404810
http://dx.doi.org/10.3389/fimmu.2023.1196054

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