Lactate dehydrogenase A silencing in IDH mutant gliomas.

Neuro Oncol

Department of Clinical Neurosciences, Foothills Hospital, Calgary, Alberta, Canada (C.C., M.D.B., M.A.-N., J.A.C., S.W., J.G.C.); Department of Cell Biology and Anatomy, Health Research Innovation Centre, Calgary, Alberta, Canada (O.D.S., S.W., H.A.L.); Department of Pathology & Laboratory Medicine, Foothills Hospital, Calgary, Alberta, Canada (J.A.C.); Southern Alberta Cancer Research Institute, Health Research Innovation Centre, Calgary, Alberta, Canada (C.C., M.D.B., M.A.-N., J.A.C., S.W., H.A.L., J.G.C.); Hotchkiss Brain Institute, Health Research Innovation Centre, Calgary, Alberta, Canada (O.D.S., S.W., H.A.L.); Department of Radiology and Biomedical Imaging, San Francisco, California (M.M.C., S.M.R.); Brain Tumor Research Center, Department of Neurological Surgery, San Francisco, California (R.O.P).

Published: May 2014

Background: Mutations of the isocitrate dehydrogenase 1 and 2 gene (IDH1/2) were initially thought to enhance cancer cell survival and proliferation by promoting the Warburg effect. However, recent experimental data have shown that production of 2-hydroxyglutarate by IDH mutant cells promotes hypoxia-inducible factor (HIF)1α degradation and, by doing so, may have unexpected metabolic effects.

Methods: We used human glioma tissues and derived brain tumor stem cells (BTSCs) to study the expression of HIF1α target genes in IDH mutant ((mt)) and IDH wild-type ((wt)) tumors. Focusing thereafter on the major glycolytic enzyme, lactate dehydrogenase A (LDHA), we used standard molecular methods and pyrosequencing-based DNA methylation analysis to identify mechanisms by which LDHA expression was regulated in human gliomas.

Results: We found that HIF1α-responsive genes, including many essential for glycolysis (SLC2A1, PDK1, LDHA, SLC16A3), were underexpressed in IDH(mt) gliomas and/or derived BTSCs. We then demonstrated that LDHA was silenced in IDH(mt) derived BTSCs, including those that did not retain the mutant IDH1 allele (mIDH(wt)), matched BTSC xenografts, and parental glioma tissues. Silencing of LDHA was associated with increased methylation of the LDHA promoter, as was ectopic expression of mutant IDH1 in immortalized human astrocytes. Furthermore, in a search of The Cancer Genome Atlas, we found low expression and high methylation of LDHA in IDH(mt) glioblastomas.

Conclusion: To our knowledge, this is the first demonstration of downregulation of LDHA in cancer. Although unexpected findings, silencing of LDHA and downregulation of several other glycolysis essential genes raise the intriguing possibility that IDH(mt) gliomas have limited glycolytic capacity, which may contribute to their slow growth and better prognosis.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3984548PMC
http://dx.doi.org/10.1093/neuonc/not243DOI Listing

Publication Analysis

Top Keywords

idh mutant
12
ldha
9
lactate dehydrogenase
8
glioma tissues
8
idhmt gliomas
8
derived btscs
8
mutant idh1
8
silencing ldha
8
methylation ldha
8
mutant
5

Similar Publications

IDH Mutant Cholangiocarcinoma: Pathogenesis, Management, and Future Therapies.

Curr Oncol

January 2025

Division of Hematology and Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.

Mutations in isocitrate dehydrogenase (IDH) genes are among the most frequently encountered molecular alterations in cholangiocarcinoma (CCA). These neomorphic point mutations endow mutant IDH (mIDH) with the ability to generate an R-enantiomer of 2-hydroxyglutarate (R2HG), a metabolite that drives malignant transformation through aberrant epigenetic signaling. As a result, pharmacologic inhibition of mIDH has become an attractive therapeutic strategy in CCAs harboring this mutation.

View Article and Find Full Text PDF

The latest World Health Organization (WHO) classification of central nervous system tumors (WHO2021/5th) has incorporated molecular information into the diagnosis of each brain tumor type including diffuse glioma. Therefore, an artificial intelligence (AI) framework for learning histological patterns and predicting important genetic events would be useful for future studies and applications. Using the concept of multiple-instance learning, we developed an AI framework named GLioma Image-level and Slide-level gene Predictor (GLISP) to predict nine genetic abnormalities in hematoxylin and eosin sections: , , mutations, promoter mutations, homozygous deletion (CHD), amplification (amp), 7 gain/10 loss (7+/10-), 1p/19q co-deletion, and promoter methylation.

View Article and Find Full Text PDF

Purpose: Isocitrate dehydrogenase (IDH) mutation status serves as a crucial prognostic indicator for glioma, typically assessed via immunohistochemical analysis post-surgery. Given the invasiveness of this approach, perhaps we can utilise convenient and noninvasive magnetic resonance imaging (MRI) methods to predict IDH mutation status. However, the current landscape lacks a standardised MRI technique for accurately predicting IDH mutations.

View Article and Find Full Text PDF

This article aims to develop and validate a pathological prognostic model for predicting prognosis in patients with isocitrate dehydrogenase (IDH)-mutant gliomas and reveal the biological underpinning of the prognostic pathological features. The pathomic model was constructed based on whole slide images (WSIs) from a training set ( = 486) and evaluated on internal validation set ( = 209), HPPH validation set ( = 54), and TCGA validation set ( = 352). Biological implications of PathScore and individual pathomic features were identified by pathogenomics set ( = 100).

View Article and Find Full Text PDF

Background: Isocitrate dehydrogenase (IDH)-mutant gliomas generally have a better prognosis than IDH-wild-type glioblastomas, and the extent of resection significantly impacts prognosis. However, there is a lack of integrated tools for predicting outcomes based on molecular subtypes and treatment modalities. This study aimed to identify factors influencing gross total resection (GTR) rates and to develop a clinical prognostic tool for IDH-mutant gliomas.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!