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Nicotinamide metabolism regulates glioblastoma stem cell maintenance
Jinkyu Jung, Leo J.Y. Kim, Xiuxing Wang, Qiulian Wu, Tanwarat Sanvoranart, Christopher G. Hubert, Briana C. Prager, Lisa C. Wallace, Xun Jin, Stephen C. Mack, Jeremy N. Rich
Jinkyu Jung, Leo J.Y. Kim, Xiuxing Wang, Qiulian Wu, Tanwarat Sanvoranart, Christopher G. Hubert, Briana C. Prager, Lisa C. Wallace, Xun Jin, Stephen C. Mack, Jeremy N. Rich
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Research Article Oncology Stem cells

Nicotinamide metabolism regulates glioblastoma stem cell maintenance

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Abstract

Metabolic dysregulation promotes cancer growth through not only energy production, but also epigenetic reprogramming. Here, we report that a critical node in methyl donor metabolism, nicotinamide N-methyltransferase (NNMT), ranked among the most consistently overexpressed metabolism genes in glioblastoma relative to normal brain. NNMT was preferentially expressed by mesenchymal glioblastoma stem cells (GSCs). NNMT depletes S-adenosyl methionine (SAM), a methyl donor generated from methionine. GSCs contained lower levels of methionine, SAM, and nicotinamide, but they contained higher levels of oxidized nicotinamide adenine dinucleotide (NAD+) than differentiated tumor cells. In concordance with the poor prognosis associated with DNA hypomethylation in glioblastoma, depletion of methionine, a key upstream methyl group donor, shifted tumors toward a mesenchymal phenotype and accelerated tumor growth. Targeting NNMT expression reduced cellular proliferation, self-renewal, and in vivo tumor growth of mesenchymal GSCs. Supporting a mechanistic link between NNMT and DNA methylation, targeting NNMT reduced methyl donor availability, methionine levels, and unmethylated cytosine, with increased levels of DNA methyltransferases, DNMT1 and DNMT3A. Supporting the clinical significance of these findings, NNMT portended poor prognosis for glioblastoma patients. Collectively, our findings support NNMT as a GSC-specific therapeutic target in glioblastoma by disrupting oncogenic DNA hypomethylation.

Authors

Jinkyu Jung, Leo J.Y. Kim, Xiuxing Wang, Qiulian Wu, Tanwarat Sanvoranart, Christopher G. Hubert, Briana C. Prager, Lisa C. Wallace, Xun Jin, Stephen C. Mack, Jeremy N. Rich

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Figure 2

NNMT and NAMPT enrichment in mesenchymal glioblastoma stem cells.

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NNMT and NAMPT enrichment in mesenchymal glioblastoma stem cells.
(A–E) ...
(A–E) NNMT, NAMPT, DNMT1, DNMT3A, and DNMT3B mRNA expression distribution by molecular subtypes (G-CIMP proneural, n = 41; non–G-CIMP proneural, n = 97; neural, n = 84; classical, n = 145; mesenchymal, n = 156) in TCGA GBM microarray dataset, respectively. (F) Supervised hierarchical clustering of NNMT, NAMPT, DNMT1, DNMT3A, and DNMT3B mRNA expression based on grouping by histological structure in the Ivy GAP RNAseq dataset. Sample size of each histological region as indicated. (G and H) Pairwise correlation between NNMT expression was performed with (G) proneural and (H) mesenchymal GSC markers in TCGA database as indicated. Numbers represent Pearson coefficient values. (I) Immunoblot analysis using indicated antibodies in indicated proneural, classical (CL), and mesenchymal GSCs. Quantification of NNMT and NAMPT protein levels was performed with ImageJ. Mann-Whitney U test was used to test differences in distribution. (J) Correlation between NNMT or NAMPT and CD44 protein levels shown in I. Pearson correlation coefficients (r values) were calculated with Microsoft Excel.

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