Identification of a Specific Gene Module for Predicting Prognosis in Glioblastoma Patients

Identification of a Specific Gene Module for Predicting Prognosis in Glioblastoma Patients

Introduction: Glioblastoma (GBM) is the most common and malignant variant of intrinsic glial brain tumors. The poor prognosis of GBM has not significantly improved despite the development of innovative diagnostic methods and new therapies. Therefore, further understanding the molecular mechanism tha...

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Bibliographic Details
Main Authors: Xiangjun Tang, Pengfei Xu, Bin Wang, Jie Luo, Rui Fu, Kuanming Huang, Longjun Dai, Junti Lu, Gang Cao, Hao Peng, Li Zhang, Zhaohui Zhang, Qianxue Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-08-01
Series:Frontiers in Oncology
Subjects:
glioblastoma
WGCNA
prognostic model
cox proportional hazards regression model
nomogram
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2019.00812/full

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https://www.frontiersin.org/article/10.3389/fonc.2019.00812/full

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