Machine learning models based on immunological genes to predict the response to neoadjuvant therapy in breast cancer patients

Breast cancer (BC) is the most common malignancy worldwide and neoadjuvant therapy (NAT) plays an important role in the treatment of patients with early BC. However, only a subset of BC patients can achieve pathological complete response (pCR) and benefit from NAT. It is therefore necessary to predi...

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Detalles Bibliográficos
Autores principales: Chen, Jian, Hao, Li, Qian, Xiaojun, Lin, Lin, Pan, Yueyin, Han, Xinghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Immunology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352856/
https://www.ncbi.nlm.nih.gov/pubmed/35935976
http://dx.doi.org/10.3389/fimmu.2022.948601

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352856/
https://www.ncbi.nlm.nih.gov/pubmed/35935976
http://dx.doi.org/10.3389/fimmu.2022.948601

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