EZHIP boosts neuronal-like synaptic gene programs and depresses polyamine metabolism
HASHEMINASABGORJI, E.; Chen, H.-M.; Gatesman, T.; Younes, S. T.; Nobles, G.; Jaryani, F.; Mao, H.; Yu, K.; Deneen, B.; Yong, V. W.; Taylor, M.; Agnihotri, S.; Gallo, M.
Show abstract
It is currently understood that the characteristic loss of the repressive histone mark H3K27me3 in PFA ependymoma and diffuse midline glioma (DMG) are caused by complementary mechanisms mediated by EZHIP and the oncohistone H3K27M, respectively. To support the complementarity of these mechanisms, rare H3K27M-negative DMGs express EZHIP. Interestingly, EZHIP is one of the few genes recurrently mutated in PFA. The significance of EZHIP mutations in PFA, and whether EZHIP has wider functions in addition to repression of H3K27me3 deposition, are not known. Here, we investigated the mutational landscape of EZHIP in pediatric brain tumors. We found that EZHIP mutations occur not only in PFA, but also in rare medulloblastoma and pediatric high-grade glioma (HGG), including in H3K27-positive DMG. Contrary to current expectations, we show that mutant EZHIP is expressed in H3K27M-positive DMG. All the EZHIP-mutated HGG cases also have EGFR mutations. Further, we pursued better understanding of the function of EZHIP by expressing it in human-derived neural models. Our transcriptomic analyses indicate that EZHIP expression potentiates neuronal-like gene programs associated with synaptic function. Metabolomics data indicate that EZHIP leads to repression of methionine and polyamine metabolism, suggesting links between metabolic and epigenetic changes that are observed in PFA. Collectively, our results expand the repertoire of tumor types known to harbor EZHIP mutations and shed light on EZHIP-dependent metabolic and transcriptional programs in relevant neural models.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Stable isotope tracing in human plasma-like medium reveals metabolic and immune modulation of the glioblastoma microenvironment 95%
- Transcriptomic landscape identifies two unrecognized ependymoma subtypes and novel pathways in medulloblastoma 94%
- Mapping pediatric brain tumors to their origins in the developing cerebellum 94%
Similar papers in this journal
- Developmental Basis of SHH Medulloblastoma Heterogeneity 97%
- Compartments in medulloblastoma with extensive nodularity are connected through differentiation along the granular precursor lineage 95%
- Multiparametric MRI Along with Machine Learning Predicts Prognosis and Treatment Response in Pediatric Low-Grade Glioma 95%
Similar papers in this journal
- EZH2 synergizes with BRD4-NUT to drive NUT carcinoma growth through silencing of key tumor suppressor genes 94%
- Acquired RAD51C promoter methylation loss causes PARP inhibitor resistance in high grade serous ovarian carcinoma 94%
- Pharmacologically targeting KRASG12D in PDAC models:tumor cell intrinsic and extrinsic impact 94%
Similar papers in this journal
- Primary and recurrent glioma patient-derived orthotopic xenografts (PDOX) represent relevant patient avatars for precision medicine 95%
- Epigenetic landscape reorganization and reactivation of embryonic development genes are associated with malignancy in IDH-mutant astrocytoma 95%
- Increased mRNA expression of CDKN2A is a transcriptomic marker of clinically aggressive meningiomas 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.