Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2022 Jul 14:12:901951.
doi: 10.3389/fonc.2022.901951. eCollection 2022.

Metabolic Rewiring in Glioblastoma Cancer: EGFR, IDH and Beyond

Affiliations
Review

Metabolic Rewiring in Glioblastoma Cancer: EGFR, IDH and Beyond

Abdellatif El Khayari et al. Front Oncol. .

Abstract

Glioblastoma multiforme (GBM), a highly invasive and incurable tumor, is the humans' foremost, commonest, and deadliest brain cancer. As in other cancers, distinct combinations of genetic alterations (GA) in GBM induce a diversity of metabolic phenotypes resulting in enhanced malignancy and altered sensitivity to current therapies. Furthermore, GA as a hallmark of cancer, dysregulated cell metabolism in GBM has been recently linked to the acquired GA. Indeed, Numerous point mutations and copy number variations have been shown to drive glioma cells' metabolic state, affecting tumor growth and patient outcomes. Among the most common, IDH mutations, EGFR amplification, mutation, PTEN loss, and MGMT promoter mutation have emerged as key patterns associated with upregulated glycolysis and OXPHOS glutamine addiction and altered lipid metabolism in GBM. Therefore, current Advances in cancer genetic and metabolic profiling have yielded mechanistic insights into the metabolism rewiring of GBM and provided potential avenues for improved therapeutic modalities. Accordingly, actionable metabolic dependencies are currently used to design new treatments for patients with glioblastoma. Herein, we capture the current knowledge of genetic alterations in GBM, provide a detailed understanding of the alterations in metabolic pathways, and discuss their relevance in GBM therapy.

Keywords: GBM; genetic alteration; glioma therapy; glycolysis; metabolic genes.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Commonly mutated genes and copy number variations in GBMs. Data (592 patients) from the TCGA dataset (Glioblastoma multiforme; TCGA- PanCancer Atlas) were explored using the cBioPortal platform. For clarity, only a subset of highly altered and metabolic genes are shown. EGFR, PTEN, TERT, and several metabolic genes such as IDH 1/2, HK2, MYC, LDHA, EZH2 were frequently altered in glioblastoma tumors.
Figure 2
Figure 2
Overview of the major genetic alterations that drive metabolic reprogramming in Gliomas. Metabolic changes observed in gliomas and especially in glioblastoma are associated with several genetic abnormalities, mainly, IDH ½ mutation, EGFR amplification, mutation, or EGFRvIII activation. Also, PTEN loss, and TERT promoter mutation. Various metabolic pathways are affected, yielding a new metabolic profile that supports the high proliferative characteristic, cell adaption, and tumor progression. EZH2, Enhancer of zeste homolog 2; D2HG, d-2-hydroxyglutarate; SREPP 1, sterol regulatory element-binding protein 1; LPCAT1, lysophosphatidylcholine acyltransferase 1; LDLR, glutamate dehydrogenase 1; LDHA, Lactate dehydrogenase A; GDH 1, glutamate dehydrogenase 1; PGK 1, phosphoglycerate kinase 1.
Figure 3
Figure 3
Glycolysis and its role in Glioblastoma cell proliferation and immune escape. The Warburg effect enables GBM cells to meet their energy demand through rapid ATP production, and promotes nucleotides synthesis and oxidative stress management, promoting cell proliferation. The elevated lactate production by tumor cells increases the acidification of the Tumor Microenvironment, which disturbs immune cells activation leading to impaired tumor immunosurveillance and cell migration. Immune cells (tumor-associated macrophages and Microglia) enhance glycolysis through Interleukin-6 (IL-6) and Epidermal Growth Factor (EGF), While hypoxic conditions in the Tumor microenvironment promote glycolysis and Warburg effect by activation and stabilization of hypoxia-inducible transcription factor (HIF-1α).
Figure 4
Figure 4
Schematic illustration of adaptive lipid metabolism in glioblastoma: role of the highly expressed ACBP, DGAT1, GPx4, and lipid droplets in lipid oxidation and ferroptosis induction. FAs, Fatty acids; FAO, Fatty acid oxidation; PUFA, Polyunsaturated fatty acids; DGAT1, diacylglycerol-acyltransferase 1; ACSL4, acyl-CoA synthetase long-chain family member 4; GPX4, glutathione peroxidase; GR, glutathione reductase; LD, lipid Droplet; LPO, lipid peroxides; ACBP, Acyl-CoA-binding protein; LDLR, low-density lipoprotein receptor; ER, Endoplasmic Reticulum.

Similar articles

Cited by

References

    1. Louis DN, Perry A, Reifenberger G, von Deimling A, Figarella-Branger D, Cavenee WK, et al. . The 2016 World Health Organization Classification of Tumors of the Central Nervous System: A Summary. Acta Neuropathol (Berl) (2016) 131:803–20. doi: 10.1007/s00401-016-1545-1 - DOI - PubMed
    1. Tanboon J, Williams EA, Louis DN. The Diagnostic Use of Immunohistochemical Surrogates for Signature Molecular Genetic Alterations in Gliomas. J Neuropathol Exp Neurol (2016) 75:4–18. doi: 10.1093/jnen/nlv009 - DOI - PubMed
    1. Delgado-Martín B, Medina MÁ. Advances in the Knowledge of the Molecular Biology of Glioblastoma and Its Impact in Patient Diagnosis, Stratification, and Treatment. Adv Sci (2020) 7(9):1902971. doi: 10.1002/advs.201902971 - DOI - PMC - PubMed
    1. Cancer Genome Atlas Research Network . Comprehensive Genomic Characterization Defines Human Glioblastoma Genes and Core Pathways. Nature (2008) 455:1061–8. doi: 10.1038/nature07385 - DOI - PMC - PubMed
    1. Liao K-L, Huang S, Wu Y-P. The Prognosis for Patients With Newly Diagnosed Glioblastoma Receiving Bevacizumab Combination Therapy: A Meta-Analysis. OncoTargets Ther (2018) 11:3513–20. doi: 10.2147/OTT.S156723 - DOI - PMC - PubMed