Identification of a Fibroblast-Related Prognostic Model in Glioma Based on Bioinformatics Methods

Identification of a Fibroblast-Related Prognostic Model in Glioma Based on Bioinformatics Methods

Background: Glioma is the most common primary tumor of the central nervous system with a high lethality rate. This study aims to mine fibroblast-related genes with prognostic value and construct a corresponding prognostic model. Methods: A glioma-related TCGA (The Cancer Genome Atlas) cohort and a C...

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Bibliographic Details
Main Authors: Haofuzi Zhang, Yutao Huang, Erwan Yang, Xiangyu Gao, Peng Zou, Jidong Sun, Zhicheng Tian, Mingdong Bao, Dan Liao, Junmiao Ge, Qiuzi Yang, Xin Li, Zhuoyuan Zhang, Peng Luo, Xiaofan Jiang
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Biomolecules
Subjects:
glioma
fibroblast-related genes
risk score
GSEA
prognosis
therapy
Online Access:https://www.mdpi.com/2218-273X/12/11/1598

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https://www.mdpi.com/2218-273X/12/11/1598

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