ArticleNeuro-oncology2013
Identification of prognostic gene signatures of glioblastoma: a study based on TCGA data analysis.
Article in Neuro-oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.
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Who cites it
63 citing papers in PubMed, 1 synthesis or guideline pooled it, 98 citations in OpenAlex.
- Proteomic analysis of cerebrospinal fluid: toward the identification of biomarkers for gliomas.Neurosurgical review · 2014Pooled it
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- Multi-omics analysis identifies novels genes involved in glioma prognosis.Scientific reports · 2025Article
- RNA cytosine methyltransferase NSUN5 promotes protein synthesis and tumorigenic phenotypes in glioblastoma.Molecular oncology · 2023Article
- 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 · 2023Article
- 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 · 2023Article
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- RAD6 Positively Affects Tumorigenesis of Esophageal Squamous Cell Carcinoma by Regulating Histone Ubiquitination of CCNB1.Biological procedures online · 2022Article
- A Novel 16-Genes Signature Scoring System as Prognostic Model to Evaluate Survival Risk in Patients with Glioblastoma.Biomedicines · 2022Article
- Regulatory Network of PD1 Signaling Is Associated with Prognosis in Glioblastoma Multiforme.Cancer research · 2021Article
- Role of Lamin A/C as Candidate Biomarker of Aggressiveness and Tumorigenicity in Glioblastoma Multiforme.Biomedicines · 2021Article
- Pan-cancer evaluation of gene expression and somatic alteration data for cancer prognosis prediction.BMC cancer · 2021Article
- Letter to the editor "Identification of MSC-AS1, a novel lncRNA for the diagnosis of laryngeal cancer".European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2021Article
- Validation of the prognostic value of 9-gene ATE score for IDH wild-type glioblastoma.Neuro-oncology · 2021Article
- PI3Kγ inhibition suppresses microglia/TAM accumulation in glioblastoma microenvironment to promote exceptional temozolomide response.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- SCG3 Protein Expression in Glioma Associates With less Malignancy and Favorable Clinical Outcomes.Pathology oncology research : POR · 2021Article
3 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundThe Cancer Genome Atlas (TCGA) project is a large-scale effort with the goal of identifying novel molecular aberrations in glioblastoma (GBM).
methodsHere, we describe an in-depth analysis of gene expression data and copy number aberration (CNA) data to classify GBMs into prognostic groups to determine correlates of subtypes that may be biologically significant.
resultsTo identify predictive survival models, we searched TCGA in 173 patients and identified 42 probe sets (P = .0005) that could be used to divide the tumor samples into 3 groups and showed a significantly (P = .0006) improved overall survival. Kaplan-Meier plots showed that the median survival of group 3 was markedly longer (127 weeks) than that of groups 1 and 2 (47 and 52 weeks, respectively). We then validated the 42 probe sets to stratify the patients according to survival in other public GBM gene expression datasets (eg, GSE4290 dataset). An overall analysis of the gene expression and copy number aberration using a multivariate Cox regression model showed that the 42 probe sets had a significant (P < .018) prognostic value independent of other variables.
conclusionsBy integrating multidimensional genomic data from TCGA, we identified a specific survival model in a new prognostic group of GBM and suggest that molecular stratification of patients with GBM into homogeneous subgroups may provide opportunities for the development of new treatment modalities.
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