Network-based machine learning approach to predict immunotherapy response in cancer patients

Immune checkpoint inhibitors (ICIs) have substantially improved the survival of cancer patients over the past several years. However, only a minority of patients respond to ICI treatment (~30% in solid tumors), and current ICI-response-associated biomarkers often fail to predict the ICI treatment re...

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Detalles Bibliográficos
Autores principales: Kong, JungHo, Ha, Doyeon, Lee, Juhun, Kim, Inhae, Park, Minhyuk, Im, Sin-Hyeog, Shin, Kunyoo, Kim, Sanguk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240063/
https://www.ncbi.nlm.nih.gov/pubmed/35764641
http://dx.doi.org/10.1038/s41467-022-31535-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240063/
https://www.ncbi.nlm.nih.gov/pubmed/35764641
http://dx.doi.org/10.1038/s41467-022-31535-6

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