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Background: The 1p/19q co-deletion is a hallmark of oligodendrogliomas. The goal of this study was to exploit metabolic vulnerabilities induced by the 1p/19q co-deletion for oligodendroglioma therapy and non-invasive imaging.
Methods: We used stable isotope tracing, mass spectrometry, and genetic and pharmacological approaches to interrogate [U- C]-glucose metabolism in patient-derived oligodendroglioma models (SF10417, BT88, BT54, TS603, NCH612). We examined whether tracing [6,6'- H]-glucose metabolism using deuterium metabolic imaging (DMI) provided an early readout of treatment response.
Results: The expression of the glycolytic enzyme enolase 1 (ENO1; chromosome 1p36.23) was reduced in patient-derived oligodendroglioma cells and patient biopsies due to the 1p/19q co-deletion and histone hypermethylation. Conversely, ENO2 was upregulated, an effect that was driven by mitogen-activated protein kinase (MAPK) signaling and ERK1-mediated phosphorylation and inactivation of the transcriptional repressor in oligodendrogliomas. Genetic ablation of ENO2 or pharmacological inhibition using POMHEX inhibited proliferation with nanomolar potency but was not cytotoxic to oligodendroglioma cells or tumor xenografts. Mechanistically, ENO2 loss abrogated [U- C]-glucose metabolism to lactate but shunted glucose towards biosynthesis of serine and purine nucleotides, an effect that was driven by phosphoglycerate dehydrogenase (PHGDH). Importantly, the PHGDH inhibitor D8 was synthetically lethal in combination with POMHEX, and the combination induced tumor regression Furthermore, DMI of lactate production from [6,6'- H]-glucose provided an early readout of response to combination therapy that preceded MRI-detectable alterations and reflected extended survival.
Conclusions: We have identified ENO2 and PHGDH as 1p/19q co-deletion-induced metabolic vulnerabilities in oligodendrogliomas and demonstrated that DMI reports on early response to therapy.
Key Points: The 1p/19q co-deletion upregulates ENO2 in oligodendrogliomas.ENO2 inhibition inhibits glycolysis but upregulates serine and nucleotide biosynthesis via PHGDH.Combined inhibition of ENO2 and PHGDH is lethal, an effect that can be visualized by DMI.
Importance Of The Study: Oligodendrogliomas are devastating primary brain tumors with long-lasting and life-altering effects on physical and cognitive function. The presence of a 1p/19q co-deletion defines oligodendrogliomas. Here, using clinically relevant patient-derived models and patient tissue, we show that the 1p/19q co-deletion leads to loss of the glycolytic enzyme ENO1 and upregulation of ENO2 in oligodendrogliomas. This provides a unique therapeutic opportunity since most cells rely on ENO1 for glycolysis. Targeting ENO2 using the brain-penetrant inhibitor POMHEX abrogates glycolysis but redirects glucose toward serine and nucleotide biosynthesis, an effect that is driven by PHGDH, the rate-limiting enzyme for serine biosynthesis. Importantly, combined treatment with POMHEX and the PHGDH inhibitor D8 is synthetically lethal and Furthermore, visualizing glucose metabolism using DMI provides an early readout of response to therapy that predicts extended survival . In summary, we have developed a unique integrated metabolic therapy and imaging approach for oligodendrogliomas.
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http://dx.doi.org/10.1101/2025.05.20.655097 | DOI Listing |
Sci Rep
September 2025
Department of Neurosurgery, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, 518035, P.R. China.
Glioblastoma multiforme (GBM) is a lethal brain tumor with limited therapies. NUF2, a kinetochore protein involved in cell cycle regulation, shows oncogenic potential in various cancers; however, its role in GBM pathogenesis remains unclear. In this study, we investigated NUF2's function and mechanisms in GBM and developed an MRI-based machine learning model to predict its expression non-invasively, and evaluated its potential as a therapeutic target and prognostic biomarker.
View Article and Find Full Text PDFFree Radic Biol Med
August 2025
Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China. Electronic address:
Gliomas are highly aggressive and heterogeneous brain tumors with poor clinical outcomes, necessitating an urgent need for novel prognostic biomarkers and therapeutic targets. Redox regulation, which balances reactive oxygen species (ROS) generation with antioxidant defense mechanisms, has emerged as a crucial adaptive mechanism supporting glioma progression. However, the precise roles and clinical implications of redox-associated genes in glioma remain poorly defined.
View Article and Find Full Text PDFEur Radiol
August 2025
Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia.
Objectives: We aimed to evaluate the diagnostic performance of deep learning (DL)-based radiomics models for the noninvasive prediction of isocitrate dehydrogenase (IDH) mutation and 1p/19q co-deletion status in glioma patients using MRI sequences, and to identify methodological factors influencing accuracy and generalizability.
Materials And Methods: Following PRISMA guidelines, we systematically searched major databases (PubMed, Scopus, Embase, Web of Science, and Google Scholar) up to March 2025, screening studies that utilized DL to predict IDH and 1p/19q co-deletion status from MRI data. We assessed study quality and risk of bias using the Radiomics Quality Score and the QUADAS-2 tool.
Front Oncol
July 2025
Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Background And Purpose: In the 2021 WHO Classification, the importance of molecular pathology in glioma diagnosis has been emphasized, particularly the status of isocitrate dehydrogenase (IDH) mutation and 1p/19q co-deletion. Advanced magnetic resonance diffusion-weighted imaging (DWI) including mono-exponential (Mono), intravoxel incoherent motion (IVIM), stretched exponential model (SEM) techniques are beneficial for non-invasive prediction of these molecular markers. The continuous-time random walk (CTRW) model mitigates the empirical nature of the SEM and has shown promising results in grading gliomas.
View Article and Find Full Text PDFQuant Imaging Med Surg
August 2025
Department of Radiology, the First Hospital of China Medical University, Shenyang, China.
Background: Given the limitations of conventional imaging in accurately grading gliomas, predicting molecular subtypes, and assessing tumor proliferation and angiogenesis, there is a growing need for advanced quantitative magnetic resonance imaging (MRI) biomarkers. This study aimed to compare the diagnostic performance of histogram features of dynamic contrast enhanced (DCE) and dynamic susceptibility contrast (DSC) imaging in predicting glioma grade and genotyping, as well as to explore the association between DCE and DSC with Ki-67 and microvascular density (MVD).
Methods: Forty-six patients with gliomas were enrolled prospectively.