ArticleOncotarget2017
The integrative metabolomic-transcriptomic landscape of glioblastome multiforme.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
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Who cites it
15 citing papers in PubMed.
- Immune checkpoint crosstalk between LAG-3 and CD39/CD73 in glioblastoma: dual-pathway regulation of metabolic exhaustion and therapeutic reversal strategies.Journal of the Egyptian National Cancer Institute · 2026Review
- Understanding the Immune System and Biospecimen-Based Response in Glioblastoma: A Practical Guide to Utilizing Signal Redundancy for Biomarker and Immune Signature Discovery.Current oncology (Toronto, Ont.) · 2024Review
- Comprehensive understanding of glioblastoma molecular phenotypes: classification, characteristics, and transition.Cancer biology & medicine · 2024Review
- Alternative RNA splicing modulates ribosomal composition and determines the spatial phenotype of glioblastoma cells.Nature cell biology · 2022Article
- Bioengineered Models to Study Microenvironmental Regulation of Glioblastoma Metabolism.Journal of neuropathology and experimental neurology · 2021Review
- Integrative Metabolomics Reveals Deep Tissue and Systemic Metabolic Remodeling in Glioblastoma.Cancers · 2021Article
- Integrated Metabolomics and Transcriptomics Using an Optimised Dual Extraction Process to Study Human Brain Cancer Cells and Tissues.Metabolites · 2021Article
- Perspective of mesenchymal transformation in glioblastoma.Acta neuropathologica communications · 2021Review
- Targeting Immunometabolism in Glioblastoma.Frontiers in oncology · 2021Review
- Metabolomics and Multi-Omics Integration: A Survey of Computational Methods and Resources.Metabolites · 2020Review
- Current and Future Trends on Diagnosis and Prognosis of Glioblastoma: From Molecular Biology to Proteomics.Cells · 2019Review
- Diffusion Tensor Imaging Reveals Microstructural Heterogeneity of Normal-Appearing White Matter and Related Cognitive Dysfunction in Glioma Patients.Frontiers in oncology · 2019Article
- Comprehensive and Reproducible Untargeted Lipidomic Workflow Using LC-QTOF Validated for Human Plasma Analysis.Journal of proteome research · 2018Article
- MR-spectroscopic imaging of glial tumors in the spotlight of the 2016 WHO classification.Journal of neuro-oncology · 2018Article
- Gene Expression Analysis Reveals Novel Gene Signatures Between Young and Old Adults in Human Prefrontal Cortex.Frontiers in aging neuroscience · 2018Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this study was to map the landscape of metabolic-transcriptional alterations in glioblastoma multiforme. Omic-datasets were acquired by metabolic profiling (1D-NMR spectroscopy n=33 Patient) and transcriptomic profiling (n=48 Patients). Both datasets were analyzed by integrative network modeling. The computed model concluded in four different metabolic-transcriptomic signatures containing: oligodendrocytic differentiation, cell-cycle functions, immune response and hypoxia. These clusters were found being distinguished by individual metabolism and distinct transcriptional programs. The study highlighted the association between metabolism and hallmarks of oncogenic signaling such as cell-cycle alterations, immune escape mechanism and other cancer pathway alterations. In conclusion, this study showed the strong influence of metabolic alterations in the wide scope of oncogenic transcriptional alterations.
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Registered trials
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