Abstract

Glioblastoma multiforme (GBM) develops on glial cells and is the most common as well as the deadliest form of brain cancer. As in other cancers, distinct combinations of genetic alterations in GBM subtypes induce a diversity of metabolic phenotypes, which explains the variability of GBM sensitivity to current therapies targeting its reprogrammed metabolism. Therefore, it is becoming imperative for cancer researchers to account for the temporal and spatial heterogeneity within this cancer type before making generalized conclusions about a particular treatment's efficacy. Standard therapies for GBM have shown little success as the disease is almost always lethal; however, researchers are making progress and learning how to combine therapeutic strategies most effectively. GBMs can be classified initially into two subsets consisting of primary and secondary GBMs, and this categorization stems from cancer development. GBM is the highest grade of gliomas, which includes glioma I (low proliferative potential), glioma II (low proliferative potential with some capacity for infiltration and recurrence), glioma III (evidence of malignancy), and glioma IV (GBM) (malignant with features of necrosis and microvascular proliferation). Secondary GBM develops from a low-grade glioma to an advanced-stage cancer, while primary GBM provides no signs of progression and is identified as an advanced-stage glioma from the onset. The differences in prognosis and histology correlated with each classification are generally negligible, but the demographics of individuals affected and the accompanying genetic/metabolic properties show distinct differentiation [3].

Highlights

  • Glioblastoma multiforme (GBM) develops on glial cells and is the most common as well as the deadliest form of brain cancer [1]

  • Distinct combinations of genetic alterations in GBM subtypes induce a diversity of metabolic phenotypes, which explains the variability of GBM sensitivity to current therapies targeting its reprogrammed metabolism

  • This combined treatment was tested on normal human astroglial cells, and the results revealed that the treatment did not cause any normal cell death to occur

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Summary

Key Points

Glioblastoma (GBM) can be categorized into different subtypes based on diverse metabolic profiles. Characteristic genomic alterations lead to transformed metabolism. Synergistic therapies are beneficial to combat dynamic adaptations of glioblastoma metabolism. Advanced-grade brain tumors exhibit distinct metabolic profiles compared to lower grade tumors

Introduction
GBM Subtype Classification
Intratumoral Heterogeneity
Liquid Biopsy as a Method for Detecting Heterogeneity and Longitudinal Tracking
Glioblastoma Stem Cell
PTEN Mutations Lead to High Rates of Glycolysis, Facilitating Survival in Harsh Microenvironments
EGFR Mutations Shift Cancer Cells toward a Glycolytic Phenotype and Permit
GBM Exhibits
Lipid Metabolism Dysregulation
GBMs Rely on the TCA Cycle and Its Reductants
IDH1 Mutations
Findings
Conclusion
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