ArticleMolecular neurobiology2020
Large-Scale Analysis Reveals Gene Signature for Survival Prediction in Primary Glioblastoma.
Article in Molecular neurobiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.
- mRNA markers for survival prediction in glioblastoma multiforme patients: a systematic review with bioinformatic analyses.BMC cancer · 2024Pooled it
- Fused inverse-normal method for integrated differential expression analysis of RNA-seq data.BMC bioinformatics · 2022Pooled it
- Article
- Identification of glycometabolism-related genes for predicting the prognosis of patients with glioblastoma and its correlation with immune infiltration.Discover oncology · 2026Article
- SLC39A10 drives M2 macrophage polarization and gastric cancer progression through the MAPK14(p38α) pathway.iScience · 2026Article
- Integrating differential gene expression and Mendelian randomization analyses reveal novel gene for prognosis, immune response, and drug sensitivity in lung cancer.Discover oncology · 2025Article
- STC1-Based Activation of NF-κB Signaling Pathway Induces Epthithelial-Mesenchymal Transition Thus Promotes Progression and Temozolomide Resistance of Glioblastoma.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025Article
- IGFBP-2 and IGF-II: Key Components of the Neural Stem Cell Niche? Implications for Glioblastoma Pathogenesis.International journal of molecular sciences · 2025Review
- Enhancing Prognostic Signatures in Glioblastoma with Feature Selection and Regularised Cox Regression.Genes · 2025Article
- PTPRN promotes glioma cell proliferation, migration, and invasion by regulating the EMT pathway.International journal of clinical and experimental pathology · 2025Article
- SLC30 (ZnT) and SLC39 (ZIP) zinc transporter families: from gatekeepers of zinc homeostasis to promoters of tumorigenesis and targets for clinical therapy.Frontiers in immunology · 2025Review
- Predicting Survival in Glioblastoma Using Gene Expression Databases: A Neural Network Analysis.International journal of molecular and cellular medicine · 2024Article
- Brain tumour genetic network signatures of survival.Brain : a journal of neurology · 2023Article
- Insulin-like growth factor binding protein-2 and glucose-regulated protein 78 kDa: Potential biomarkers affect prognosis in IDH-wildtype glioblastoma patients.Cancer medicine · 2023Article
- Long non-coding RNA LINC01018 inhibits human glioma cell proliferation and metastasis by directly targeting miRNA-182-5p.Journal of neuro-oncology · 2022Article
- Identification of Prognostic Genes in Gliomas Based on Increased Microenvironment Stiffness.Cancers · 2022Article
- neoDL: a novel neoantigen intrinsic feature-based deep learning model identifies IDH wild-type glioblastomas with the longest survival.BMC bioinformatics · 2021Article
- Bcl2l10 induces metabolic alterations in ovarian cancer cells by regulating the TCA cycle enzymes SDHD and IDH1.Oncology reports · 2021Article
- A universal molecular prognostic score for gastrointestinal tumors.NPJ genomic medicine · 2021Article
- IGFBP2 Is a Potential Master Regulator Driving the Dysregulated Gene Network Responsible for Short Survival in Glioblastoma Multiforme.Frontiers in genetics · 2021Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
Glioblastoma multiforme (GBM) is the most aggressive and common primary central nervous system tumour. Despite extensive therapy, GBM patients usually have poor prognosis with a median survival of 12-15 months. Novel molecular biomarkers that can improve survival prediction and help with treatment strategies are still urgently required. Here we aimed to robustly identify a gene signature panel for improved survival prediction in primary GBM patients. We identified 2166 differentially expressed genes (DEGs) using meta-analysis of microarray datasets comprising of 955 samples (biggest primary GBM cohort for such studies as per our knowledge) and 3368 DEGs from RNA-seq dataset with 165 samples. Based on the 1443 common DEGs, using univariate Cox and least absolute shrinkage and selection operator (LASSO) with multivariate Cox regression, we identified a survival associated 4-gene signature panel including IGFBP2, PTPRN, STEAP2 and SLC39A10 and thereafter established a risk score model that performed well in survival prediction. High-risk group patients had significantly poorer survival as compared with those in the low-risk group (AUC = 0.766 for 1-year prediction). Multivariate analysis demonstrated that predictive value of the 4-gene signature panel was independent of other clinical and pathological features and hence is a potential prognostic biomarker. More importantly, we validated this signature in three independent GBM cohorts to test its generality. In conclusion, our integrated analysis using meta-analysis approach maximizes the use of the available gene expression data and robustly identified a 4-gene panel for predicting survival in primary GBM.
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Registered trials
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