This Article demonstrates that tumour-associated IDH1 somatic mutations result in a gain of enzyme function that causes the accumulation of R(-)-2-hydroxyglutarate (2HG). We proposed that accumulation of 2HG might drive oncogenesis, and referenced work demonstrating 2HG accumulation in patients with 2-hydroxyglutaric aciduria 1 . As a plausible mechanism of oncogenesis, we proposed that R(-)-2HG induces redox stress owing to impairment of the respiratory chain. This hypothesis suggests that R(-)-2HG may promote cancer mutations, and is consistent with the latency observed in glioma development and the fact that gliomas increase in incidence with age. Nonetheless, we do appreciate that there are other possible mechanisms by which R(-)-2HG may promote tumour formation. Further work has identified that the abnormal production of 2HG is associated with tumours bearing a mutation in either IDH1 or IDH2 and supports a link between 2HG accumulation and cancer. So far, we have not found any tumour samples containing IDH1 or IDH2 mutations that do not have increased 2HG levels. Determining the mechanistic link between 2HG accumulation and cancer formation, and how each stereoisomer of 2HG may drive malignancy by the same or distinct mechanism is the subject of continuing investigation by our group and others. Hum Genet. 2005; 76:358-360. [PubMed: 15609246] NIH Public Access
SUMMARY While molecular subgrouping has revolutionized medulloblastoma classification, the extent of heterogeneity within subgroups is unknown. Similarity network fusion (SNF) applied to genome-wide DNA methylation and gene expression data across 763 primary samples identifies very homogeneous clusters of patients, supporting the presence of medulloblastoma subtypes. After integration of somatic copy-number alterations, and clinical features specific to each cluster, we identify 12 different subtypes of medulloblastoma. Integrative analysis using SNF further delineates group 3 from group 4 medulloblastoma, which is not as readily apparent through analyses of individual data types. Two clear subtypes of infants with Sonic Hedgehog medulloblastoma with disparate outcomes and biology are identified. Medulloblastoma subtypes identified through integrative clustering have important implications for stratification of future clinical trials.
Summary Current therapies for medulloblastoma (MB), a highly malignant childhood brain tumor, impose debilitating effects on the developing child, warranting deployment of molecularly targeted treatments with reduced toxicities. Prior studies failed to disclose the full spectrum of driver genes and molecular processes operative in MB subgroups. Herein, we detail the somatic landscape across 491 sequenced MBs and molecular heterogeneity amongst 1,256 epigenetically analyzed cases, identifying subgroup-specific driver alterations including previously unappreciated actionable targets. Driver mutations explained the majority of Group 3 and Group 4 patients, remarkably enhancing previous knowledge. Novel molecular subtypes were differentially enriched for specific driver events, including hotspot in-frame insertions targeting KBTBD4 and ‘enhancer hijacking’ driving PRDM6 activation. Thus, application of integrative genomics to an unprecedented cohort of clinical samples derived from a single childhood cancer entity disclosed a series of new cancer genes and biologically relevant subtype diversity that represent attractive therapeutic targets for treating MB patients.
Coexpression of EGFRvIII and PTEN by glioblastoma cells is associated with responsiveness to EGFR kinase inhibitors.
Comprehensive knowledge of the genomic alterations that underlie cancer is a critical foundation for diagnostics, prognostics, and targeted therapeutics. Systematic efforts to analyze cancer genomes are underway, but the analysis is hampered by the lack of a statistical framework to distinguish meaningful events from random background aberrations. Here we describe a systematic method, called Genomic Identification of Significant Targets in Cancer (GISTIC), designed for analyzing chromosomal aberrations in cancer. We use it to study chromosomal aberrations in 141 gliomas and compare the results with two prior studies. Traditional methods highlight hundreds of altered regions with little concordance between studies. The new approach reveals a highly concordant picture involving Ϸ35 significant events, including 16 -18 broad events near chromosome-arm size and 16 -21 focal events. Approximately half of these events correspond to known cancerrelated genes, only some of which have been previously tied to glioma. We also show that superimposed broad and focal events may have different biological consequences. Specifically, gliomas with broad amplification of chromosome 7 have properties different from those with overlapping focal EGFR amplification: the broad events act in part through effects on MET and its ligand HGF and correlate with MET dependence in vitro. Our results support the feasibility and utility of systematic characterization of the cancer genome.bioinformatics ͉ comparative genomic hybridization ͉ glioblastoma ͉ copynumber alterations ͉ single-nucleotide polymorphism arrays
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