ArticleFrontiers in neuroscience2023
Molecular landscapes of glioblastoma cell lines revealed a group of patients that do not benefit from
Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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
7 citing papers in PubMed.
- Pharmacological modulation of Ca²⁺ signaling by calycosin promotes glioblastoma cell death.Medical oncology (Northwood, London, England) · 2026Article
- Amino Acid Transporters in Glioblastoma: Implications for Diagnosis, Disease Monitoring, Therapeutic Targeting, and Drug Delivery.Molecular diagnosis & therapy · 2025Review
- Prognostic Significance ofBiology · 2025Article
- TMBIM6 promotes glioma progression according to integrated bioinformatics and experimental evidence.Scientific reports · 2025Article
- Berberine's Impact on Apoptosis, Proliferation, Uptake Efficiency, and Nanoparticle-Based Therapy in DBTRG Cells.ACS nanoscience Au · 2025Article
- Twenty-five years of WWOX insight in cancer: a treasure trove of knowledge.Functional & integrative genomics · 2025Review
- In Silico Analysis Highlights Potential Predictive Indicators Associated with Secondary Progressive Multiple Sclerosis.International journal of molecular sciences · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Glioblastoma (GBM) is notorious for its clinical and molecular heterogeneity, contributing to therapeutic failure and a grim prognosis. Methods: U87MG/T98G/U251MG/DBTRG-05MG were subjected to high-throughput sequencing, and obtained data were explored via weighted gene co-expression network analysis, differential expression analysis, functional annotation, and network building. Following the identification of the most relevant DBTRG-distinguishing driver genes, data from GBM patients were employed for, e.g., differential expression analysis, survival analysis, and principal component analysis. Results: Although most driver genes were unique for each cell line, some were inversely regulated in DBTRG-05MG. Alongside driver genes, the differentially-expressed genes were used to build a WWOX-related network depicting protein-protein interactions in U87MG/T98G/U251MG/DBTRG-05MG. This network revealed processes distinctly regulated in DBTRG-05MG, e.g., microglia proliferation or neurofibrillary tangle assembly. Conclusion: Cell lines data enabled the identification of patients among which, despite high expression of
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.