Identification of prognostic gene signatures of glioblastoma: a study based on TCGA data analysis-Reference-Cited by-同舟云学术

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Identification of prognostic gene signatures of glioblastoma: a study based on TCGA data analysis

Published:2013-03-15 Issue:7 Volume:15 Page:829-839
ISSN:1522-8517
Container-title:Neuro-Oncology
language:en
Short-container-title:Neuro-Oncology

Author:

Kim Y.-W.,Koul D.,Kim S. H.,Lucio-Eterovic A. K.,Freire P. R.,Yao J.,Wang J.,Almeida J. S.,Aldape K.,Yung W. K. A.

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Neurology (clinical),Oncology

Link

http://academic.oup.com/neuro-oncology/article-pdf/15/7/829/6204670/not024.pdf

Reference52 articles.

1. Molecular subclasses of high-grade glioma predict prognosis, delineate a pattern of disease progression, and resemble stages in neurogenesis

2. Cathepsin D Is a Potential Serum Marker for Poor Prognosis in Glioma Patients

3. Cell- and peptide-based immunotherapeutic approaches for glioma

4. Comprehensive genomic characterization defines human glioblastoma genes and core pathways

5. Exploratory Analysis of the Copy Number Alterations in Glioblastoma Multiforme

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3. Development and validation a prognostic model based on natural killer T cells marker genes for predicting prognosis and characterizing immune status in glioblastoma through integrated analysis of single-cell and bulk RNA sequencing;Functional & Integrative Genomics;2023-08-31

4. Gene co-expression network construction and analysis for identification of genetic biomarkers associated with glioblastoma multiforme using topological findings;Journal of the Egyptian National Cancer Institute;2023-07-24

5. RNA cytosine methyltransferase NSUN5 promotes protein synthesis and tumorigenic phenotypes in glioblastoma;Molecular Oncology;2023-04-22

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