ArticleOncotarget2015
Identification of high risk anaplastic gliomas by a diagnostic and prognostic signature derived from mRNA expression profiling.
Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- A Novel Cuproptosis-Related Gene Signature Predicts Prognosis in Papillary Thyroid Carcinoma Patients.Combinatorial chemistry & high throughput screening · 2025Article
- Bioinformatics Analysis and Screening of Potential Target Genes Related to the Lung Cancer Prognosis.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2023Article
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- A novel cuproptosis-related gene signature of prognosis and immune microenvironment in head and neck squamous cell carcinoma cancer.Journal of cancer research and clinical oncology · 2023Article
- Identification of an immune-related gene signature as a prognostic target and the immune microenvironment for adrenocortical carcinoma.Immunity, inflammation and disease · 2022Article
- A novel gene signature based on five immune checkpoint genes predicts the survival of glioma.Chinese neurosurgical journal · 2021Article
- Identification of NNeurosurgical review · 2021Article
- An mRNA characterization model predicting survival in patients with invasive breast cancer based on The Cancer Genome Atlas database.Cancer biomarkers : section A of Disease markers · 2021Article
- Promoting Prognostic Model Application: A Review Based on Gliomas.Journal of oncology · 2021Review
- Autophagy-Related Long Non-coding RNA Is a Prognostic Indicator for Bladder Cancer.Frontiers in oncology · 2021Article
- Multiple microarray analyses identify key genes associated with the development of Non-Small Cell Lung Cancer from Chronic Obstructive Pulmonary Disease.Journal of Cancer · 2021Article
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- Postoperative standard chemoradiotherapy benefits primary glioblastoma patients of all ages.Cancer medicine · 2020Article
- Long Non-coding RNA Expression Profiling Identifies a Four-Long Non-coding RNA Prognostic Signature for Isocitrate Dehydrogenase Mutant Glioma.Frontiers in neurology · 2020Article
- Systematic analysis of differentially methylated expressed genes and site-specific methylation as potential prognostic markers in head and neck cancer.Journal of cellular physiology · 2019Article
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- Combined Therapy Sensitivity Index Based on a 13-Gene Signature Predicts Prognosis for IDH Wild-type and MGMT Promoter Unmethylated Glioblastoma Patients.Journal of Cancer · 2019Article
- A Potential Prognostic Gene Signature for Predicting Survival for Glioblastoma Patients.BioMed research international · 2019Article
- A comprehensive review of available omics data resources and molecular profiling for precision glioma studies.Biomedical reports · 2019Review
- A novel scoring system for gastric cancer risk assessment based on the expression of three CLIP4 DNA methylation-associated genes.International journal of oncology · 2018Article
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Authors and funding
9 authors.
Funding
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Abstract
Anaplastic gliomas are characterized by variable clinical and genetic features, but there are few studies focusing on the substratification of anaplastic gliomas. To identify a more objective and applicable classification of anaplastic gliomas, we analyzed whole genome mRNA expression profiling of four independent datasets. Univariate Cox regression, linear risk score formula and receiver operating characteristic (ROC) curve were applied to derive a gene signature with best prognostic performance. The corresponding clinical and molecular information were further analyzed for interpretation of the different prognosis and the independence of the signature. Gene ontology (GO), Gene Set Variation Analysis (GSVA) and Gene Set Enrichment Analysis (GSEA) were performed for functional annotation of the differences. We found a three-gene signature, by applying which, the anaplastic gliomas could be divided into low risk and high risk groups. The two groups showed a high concordance with grade II and grade IV gliomas, respectively. The high risk group was more aggressive and complex. The three-gene signature showed diagnostic and prognostic value in anaplastic gliomas.
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