A Whole Exon Screening-Based Score Model Predicts Prognosis and Immune Checkpoint Inhibitor Therapy Effects in Low-Grade Glioma

A Whole Exon Screening-Based Score Model Predicts Prognosis and Immune Checkpoint Inhibitor Therapy Effects in Low-Grade Glioma

ObjectiveThis study aims to identify prognostic factors for low-grade glioma (LGG) via different machine learning methods in the whole genome and to predict patient prognoses based on these factors. We verified the results through in vitro experiments to further screen new potential therapeutic targ...

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Bibliographic Details
Main Authors: Cheng Luo, Songmao Wang, Wenjie Shan, Weijie Liao, Shikuan Zhang, Yanzhi Wang, Qilei Xin, Tingpeng Yang, Shaoliang Hu, Weidong Xie, Naihan Xu, Yaou Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Immunology
Subjects:
METTL7B
PD-L1
prognosis prediction
glioma
m6A (N6-methyladenose)
RNA stability
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2022.909189/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2022.909189/full

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