ArticleOncotarget2016
Molecular heterogeneity of glioblastomas: does location matter?
Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 18 citations in OpenAlex.
- Relationship between glioblastoma location and OBrain communications · 2024Article
- Engineered Aurotherapy for the Multimodal Treatment of Glioblastoma.Brain tumor research and treatment · 2022Review
- A novel therapeutic strategy of multimodal nanoconjugates for state-of-the-art brain tumor phototherapy.Journal of nanobiotechnology · 2022Article
- Article
- Main genetic differences in high-grade gliomas may present different MR imaging and MR spectroscopy correlates.European radiology · 2021Article
- Photothermal Therapy for the Treatment of Glioblastoma: Potential and Preclinical Challenges.Frontiers in oncology · 2020Review
- Molecular Subgroups of Glioblastoma- an Assessment by Immunohistochemical Markers.Pathology oncology research : POR · 2019Article
- Adverse prognosis of glioblastoma contacting the subventricular zone: Biological correlates.PloS one · 2019Article
- Incidence of initial spinal metastasis in glioblastoma patients and the importance of spinal screening using MRI.Journal of neuro-oncology · 2019Article
- Current Challenges and Opportunities in Treating Glioblastoma.Pharmacological reviews · 2018Article
- Review
Corrections and comments
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Authors and funding
11 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glioblastomas in adults are highly heterogeneous tumors that can develop throughout the brain. To date no predictive-location marker has been identified. We previously derived two glioblastoma cell lines from cortical and periventricular locations and demonstrated distinct transcriptomic profiles. Based on these preliminary results, the aim of this study was to correlate glioblastoma locations with the expression of ten selected genes (VEGFC, FLT4, MET, HGF, CHI3L1, PROM1, NOTCH1, DLL3, PDGFRA, BCAN). Fifty nine patients with newly diagnosed glioblastomas were retrospectively included. Tumors were classified into cortical and periventricular locations, which were subsequently segregated according to cerebral lobes involved: cortical fronto-parietal (C-FP), cortical temporal (C-T), periventricular fronto-parietal (PV-FP), periventricular temporal (PV-T), and periventricular occipital (PV-O). Gene expression levels were determined using RT-qPCR. Compared to cortical glioblastomas, periventricular glioblastomas were characterized by a higher expression of two mesenchymal genes, VEGFC (p = 0.001) and HGF (p = 0.001). Among cortical locations, gene expressions were homogeneous. In contrast, periventricular locations exhibited distinct expression profiles. PV-T tumors were associated with higher expression of two proneural and cancer stem cell genes, NOTCH1 (p = 0.028) and PROM1 (p = 0.033) while PV-FP tumors were characterized by high expression of a mesenchymal gene, CHI3L1 (p = 0.006). Protein expression of NOTCH1 was correlated with RNA expression levels. PV-O glioblastomas were associated with lower expression of VEGFC (p = 0.032) than other periventricular locations, whereas MET overexpression remained exceptional. These data suggest a differential gene expression profile according to initial glioblastoma location.
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Registered trials
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