Machine learning revealed stemness features and a novel stemness-based classification with appealing implications in discriminating the prognosis, immunotherapy and temozolomide responses of 906 glioblastoma patients

Glioblastoma (GBM) is the most malignant and lethal intracranial tumor, with extremely limited treatment options. Immunotherapy has been widely studied in GBM, but none can significantly prolong the overall survival (OS) of patients without selection. Considering that GBM cancer stem cells (CSCs) pl...

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Detalles Bibliográficos
Autores principales: Wang, Zihao, Wang, Yaning, Yang, Tianrui, Xing, Hao, Wang, Yuekun, Gao, Lu, Guo, Xiaopeng, Xing, Bing, Wang, Yu, Ma, Wenbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Problem Solving Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8425448/
https://www.ncbi.nlm.nih.gov/pubmed/33839757
http://dx.doi.org/10.1093/bib/bbab032

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8425448/
https://www.ncbi.nlm.nih.gov/pubmed/33839757
http://dx.doi.org/10.1093/bib/bbab032

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