ArticleNeuro-oncology2013
Experimental validation of 5 in-silico predicted glioma biomarkers.
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 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- RNA Expression Signatures in Glioblastoma: A Systematic Review of Tumour Biology and Therapeutic Targets.Oncology research · 2025Pooled it
- Multi-omics identification of SPON1-related risk model for predicting prognosis and drug response in ovarian cancer.Functional & integrative genomics · 2026Article
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- Plexin-mediated neuronal development and neuroinflammatory responses in the nervous system.Histology and histopathology · 2023Review
- Angiogenin and plexin-B2 axis promotes glioblastoma progression by enhancing invasion, vascular association, proliferation and survival.British journal of cancer · 2022Article
- Glioblastoma Stem Cells-Useful Tools in the Battle against Cancer.International journal of molecular sciences · 2022Review
- Oklahoma Nathan Shock Aging Center - assessing the basic biology of aging from genetics to protein and function.GeroScience · 2021Article
- Epigenomic landscape and 3D genome structure in pediatric high-grade glioma.Science advances · 2021Article
- Plexin-B2 facilitates glioblastoma infiltration by modulating cell biomechanics.Communications biology · 2021Article
- Targeting ELTD1, an angiogenesis marker for glioblastoma (GBM), also affects VEGFR2: molecular-targeted MRI assessment.American journal of nuclear medicine and molecular imaging · 2019Article
- Characterization of cxorf21 Provides Molecular Insight Into Female-Bias Immune Response in SLE Pathogenesis.Frontiers in immunology · 2019Article
- Tetraspanin-enriched microdomains regulate digitation junctions.Cellular and molecular life sciences : CMLS · 2018Article
- Predictive bioinformatics identifies novel regulators of proliferation in a cancer stem cell model.Stem cell research · 2018Article
- Quantitative validation of anti-PTBP1 antibody for diagnostic neuropathology use: Image analysis approach.International journal for numerical methods in biomedical engineering · 2017Article
- GTSE1 regulates spindle microtubule dynamics to control Aurora B kinase and Kif4A chromokinesin on chromosome arms.The Journal of cell biology · 2017Article
- Genome-Wide Association Study Reveals Multiple Novel QTL Associated with Low Oxygen Tolerance in Hybrid Catfish.Marine biotechnology (New York, N.Y.) · 2017Article
- ELTD1, an effective anti-angiogenic target for gliomas: preclinical assessment in mouse GL261 and human G55 xenograft glioma models.Neuro-oncology · 2017Article
- mir-218-2 promotes glioblastomas growth, invasion and drug resistance by targeting CDC27.Oncotarget · 2017Article
- Assessment of Hepatocellular Carcinoma Metastasis Glycobiomarkers Using Advanced Quantitative N-glycoproteome Analysis.Frontiers in physiology · 2017Article
- Anti-tumor activity of phenoxybenzamine hydrochloride on malignant glioma cells.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundGlioblastoma multiforme (GBM) is a high-grade glioma with poor prognosis. Identification of new biomarkers specific to GBM could help in disease diagnosis. We have developed and validated a bioinformatics method to predict proteins likely to be suitable as glioma biomarkers via a global microarray meta-analysis to identify uncharacterized genes consistently coexpressed with known glioma-associated genes.
methodsA novel bioinformatics method was implemented called global microarray meta-analysis, using approximately 16,000 microarray experiments to identify uncharacterized genes consistently coexpressed with known glioma-associated genes. These novel biomarkers were validated as proteins highly expressed in human gliomas varying in tumor grades using immunohistochemistry. Glioma gene databases were used to assess delineation of expression of these markers in varying glioma grades and subtypes of GBM.
resultsWe have identified 5 potential biomarkers-spondin1, Plexin-B2, SLIT3, fibulin-1, and LINGO1-that were validated as proteins highly expressed on the surface of human gliomas using immunohistochemistry. Expression of spondin1, Plexin-B2, and SLIT3 was significantly higher (P < .01) in high-grade gliomas than in low-grade gliomas. These biomarkers were significant discriminators in grade IV gliomas compared with either grade III or II tumors and also distinguished between GBM subclasses.
conclusionsThis study strongly suggests that this type of bioinformatics approach has high translational potential to rapidly discern which poorly characterized proteins may be of clinical relevance.
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