Machine learning-based investigation of regulated cell death for predicting prognosis and immunotherapy response in glioma patients

Machine learning-based investigation of regulated cell death for predicting prognosis and immunotherapy response in glioma patients

Abstract Glioblastoma is a highly aggressive and malignant type of brain cancer that originates from glial cells in the brain, with a median survival time of 15 months and a 5-year survival rate of less than 5%. Regulated cell death (RCD) is the autonomous and orderly cell death under genetic contro...

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Bibliographic Details
Main Authors: Wei Zhang, Ruiyue Dang, Hongyi Liu, Luohuan Dai, Hongwei Liu, Abraham Ayodeji Adegboro, Yihao Zhang, Wang Li, Kang Peng, Jidong Hong, Xuejun Li
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Reports
Subjects:
Regulated cell death
Glioma
Machine learning
Prognosis
Immunotherapy
Immune infiltration
Online Access:https://doi.org/10.1038/s41598-024-54643-3

Internet

https://doi.org/10.1038/s41598-024-54643-3

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