Literature DB >> 32315286

HDAC inhibitors elicit metabolic reprogramming by targeting super-enhancers in glioblastoma models.

Trang Thi Thu Nguyen1, Yiru Zhang1, Enyuan Shang2, Chang Shu1, Consuelo Torrini1, Junfei Zhao3, Elena Bianchetti1, Angeliki Mela1, Nelson Humala4, Aayushi Mahajan4, Arif O Harmanci5, Zhengdeng Lei6, Mark Maienschein-Cline6, Catarina M Quinzii7, Mike-Andrew Westhoff8, Georg Karpel-Massler9, Jeffrey N Bruce4, Peter Canoll1, Markus D Siegelin1.   

Abstract

The Warburg effect is a tumor-related phenomenon that could potentially be targeted therapeutically. Here, we showed that glioblastoma (GBM) cultures and patients' tumors harbored super-enhancers in several genes related to the Warburg effect. By conducting a transcriptome analysis followed by ChIP-Seq coupled with a comprehensive metabolite analysis in GBM models, we found that FDA-approved global (panobinostat, vorinostat) and selective (romidepsin) histone deacetylase (HDAC) inhibitors elicited metabolic reprogramming in concert with disruption of several Warburg effect-related super-enhancers. Extracellular flux and carbon-tracing analyses revealed that HDAC inhibitors blunted glycolysis in a c-Myc-dependent manner and lowered ATP levels. This resulted in the engagement of oxidative phosphorylation (OXPHOS) driven by elevated fatty acid oxidation (FAO), rendering GBM cells dependent on these pathways. Mechanistically, interference with HDAC1/-2 elicited a suppression of c-Myc protein levels and a concomitant increase in 2 transcriptional drivers of oxidative metabolism, PGC1α and PPARD, suggesting an inverse relationship. Rescue and ChIP experiments indicated that c-Myc bound to the promoter regions of PGC1α and PPARD to counteract their upregulation driven by HDAC1/-2 inhibition. Finally, we demonstrated that combination treatment with HDAC and FAO inhibitors extended animal survival in patient-derived xenograft model systems in vivo more potently than single treatments in the absence of toxicity.

Entities:  

Keywords:  Intermediary metabolism; Oncology

Mesh:

Substances:

Year:  2020        PMID: 32315286      PMCID: PMC7324177          DOI: 10.1172/JCI129049

Source DB:  PubMed          Journal:  J Clin Invest        ISSN: 0021-9738            Impact factor:   14.808


  45 in total

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Journal:  Cell Metab       Date:  2015-09-10       Impact factor: 27.287

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Journal:  Nat Chem Biol       Date:  2016-04-25       Impact factor: 15.040

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  26 in total

Review 1.  Methodological Approaches for Assessing Metabolomic Changes in Glioblastomas.

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2.  Lactate is an epigenetic metabolite that drives survival in model systems of glioblastoma.

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5.  Induction of Synthetic Lethality by Activation of Mitochondrial ClpP and Inhibition of HDAC1/2 in Glioblastoma.

Authors:  Trang T T Nguyen; Enyuan Shang; Salveena Schiffgens; Consuelo Torrini; Chang Shu; Hasan Orhan Akman; Varun V Prabhu; Joshua E Allen; Mike-Andrew Westhoff; Georg Karpel-Massler; Markus D Siegelin
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7.  A multiparametric pharmacogenomic strategy for drug repositioning predicts therapeutic efficacy for glioblastoma cell lines.

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8.  Inhibition of HDAC1/2 Along with TRAP1 Causes Synthetic Lethality in Glioblastoma Model Systems.

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Journal:  Cells       Date:  2020-07-10       Impact factor: 6.600

9.  Downregulated METTL14 accumulates BPTF that reinforces super-enhancers and distal lung metastasis via glycolytic reprogramming in renal cell carcinoma.

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10.  Tumor edge-to-core transition promotes malignancy in primary-to-recurrent glioblastoma progression in a PLAGL1/CD109-mediated mechanism.

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