Artificial neural network identified a 20‐gene panel in predicting immunotherapy response and survival benefits after anti‐PD1/PD‐L1 treatment in glioblastoma patients

Artificial neural network identified a 20‐gene panel in predicting immunotherapy response and survival benefits after anti‐PD1/PD‐L1 treatment in glioblastoma patients

Abstract Background Immune checkpoint inhibitors (ICIs) are a promising immunotherapy approach, but glioblastoma clinical trials have not yielded satisfactory results. Objective To screen glioblastoma patients who may benefit from immunotherapy. Methods Eighty‐one patients receiving anti‐PD1/PD‐L1 t...

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Bibliographic Details
Main Authors: Yaning Wang, Zihao Wang, Xiaopeng Guo, Yaning Cao, Hao Xing, Yuekun Wang, Bing Xing, Yu Wang, Yong Yao, Wenbin Ma
Format: Article
Language:English
Published: Wiley 2024-05-01
Series:Cancer Medicine
Subjects:
artificial neural network model
glioblastoma
immune checkpoint inhibitor
immunotherapy
Online Access:https://doi.org/10.1002/cam4.7218

Internet

https://doi.org/10.1002/cam4.7218

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