Identification of Prognostic Model and Biomarkers for Cancer Stem Cell Characteristics in Glioblastoma by Network Analysis of Multi-Omics Data and Stemness Indices

Identification of Prognostic Model and Biomarkers for Cancer Stem Cell Characteristics in Glioblastoma by Network Analysis of Multi-Omics Data and Stemness Indices

The progression of most human cancers mainly involves the gradual accumulation of the loss of differentiated phenotypes and the sequential acquisition of progenitor and stem cell-like features. Glioblastoma multiforme (GBM) stem cells (GSCs), characterized by self-renewal and therapeutic resistance,...

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Bibliographic Details
Main Authors: Jianyang Du, Xiuwei Yan, Shan Mi, Yuan Li, Hang Ji, Kuiyuan Hou, Shuai Ma, Yixu Ba, Peng Zhou, Lei Chen, Rui Xie, Shaoshan Hu
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-10-01
Series:Frontiers in Cell and Developmental Biology
Subjects:
connectivity map
machine learning methods
glioblastoma
prognostic model
stemness
tumor immune environment
Online Access:https://www.frontiersin.org/article/10.3389/fcell.2020.558961/full

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https://www.frontiersin.org/article/10.3389/fcell.2020.558961/full

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