Integrative genomic analysis of medulloblastoma identifies a molecular subgroup that drives poor clinical outcome - Wikidata - awgldk - TriplyDB

Integrative genomic analysis of medulloblastoma identifies a molecular subgroup that drives poor clinical outcome

Integrative genomic analysis of medulloblastoma identifies a molecular subgroup that drives poor clinical outcome

http://www.wikidata.org/entity/Q28298987

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Pediatric medulloblastoma - update on molecular classification driving targeted therapies Voltage-gated potassium channel EAG2 controls mitotic entry and tumor growth in medulloblastoma via regulating cell volume dynamics Molecular subgroups of medulloblastoma: the current consensus Itraconazole and arsenic trioxide inhibit Hedgehog pathway activation and tumor growth associated with acquired resistance to smoothened antagonists Bromodomain Inhibitor Review: Bromodomain and Extra-terminal Family Protein Inhibitors as a Potential New Therapy in Central Nervous System Tumors Tumor-Derived Cell Lines as Molecular Models of Cancer Pharmacogenomics Big data in medical science--a biostatistical view Significance and therapeutic value of miRNAs in embryonal neural tumors An integrative view on sex differences in brain tumors Advances in managing medulloblastoma and intracranial primitive neuro-ectodermal tumors MicroRNA Regulation of Brain Tumour Initiating Cells in Central Nervous System Tumours Aberrant Otx2 expression enhances migration and induces ectopic proliferation of hindbrain neuronal progenitor cells EphrinB1 expression is dysregulated and promotes oncogenic signaling in medulloblastoma.Casein kinase 1δ is an APC/C(Cdh1) substrate that regulates cerebellar granule cell neurogenesis.A Proteogenomic Approach to Understanding MYC Function in Metastatic Medulloblastoma Tumors MicroRNA-183 Family in Inner Ear: Hair Cell Development and Deafness.Young investigator challenge: Cytomorphologic analysis of cerebrospinal fluid in 70 pediatric patients with medulloblastoma and review of the literature focusing on novel diagnostic and prognostic tests MicroRNAs in pediatric central nervous system embryonal neoplasms: the known unknown Subgroup-specific alternative splicing in medulloblastoma Subgroup-specific structural variation across 1,000 medulloblastoma genomes DNA methylation profiling of medulloblastoma allows robust subclassification and improved outcome prediction using formalin-fixed biopsies G-protein coupled receptor expression patterns delineate medulloblastoma subgroups Medulloblastoma exome sequencing uncovers subtype-specific somatic mutations VMY-1-103 is a novel CDK inhibitor that disrupts chromosome organization and delays metaphase progression in medulloblastoma cells.Identifying in-trans process associated genes in breast cancer by integrated analysis of copy number and expression data Intracranial cystic lesions: a review.sCNAphase: using haplotype resolved read depth to genotype somatic copy number alterations from low cellularity aneuploid tumors.NOTCH ligands JAG1 and JAG2 as critical pro-survival factors in childhood medulloblastoma.RITA displays anti-tumor activity in medulloblastomas independent of TP53 status.Inhibition of BRD4 attenuates tumor cell self-renewal and suppresses stem cell signaling in MYC driven medulloblastoma.Prognostic significance of clinical, histopathological, and molecular characteristics of medulloblastomas in the prospective HIT2000 multicenter clinical trial cohort.Actionable molecular biomarkers in primary brain tumors.Development, characterization, and reversal of acquired resistance to the MEK1 inhibitor selumetinib (AZD6244) in an in vivo model of childhood astrocytoma.Arhgap36-dependent activation of Gli transcription factors.Integrated analysis of miRNA and mRNA expression in childhood medulloblastoma compared with neural stem cells Joint binding of OTX2 and MYC in promotor regions is associated with high gene expression in medulloblastoma.MicroRNA-31 suppresses medulloblastoma cell growth by inhibiting DNA replication through minichromosome maintenance 2 Genetic drivers of metastatic dissemination in sonic hedgehog medulloblastoma Heat shock protein 90 inhibitors in the treatment of cancer: current status and future directions Diagnostic application of high resolution single nucleotide polymorphism array analysis for children with brain tumors

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Integrative genomic analysis of medulloblastoma identifies a molecular subgroup that drives poor clinical outcome

http://www.wikidata.org/entity/Q28298987

description

2011 nî lūn-bûn

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2011 թուականի Ապրիլին հրատարակուած գիտական յօդուած

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2011 թվականի ապրիլին հրատարակված գիտական հոդված

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2011年の論文

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2011年論文

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2011年論文

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2011年論文

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Integrative genomic analysis o ...... t drives poor clinical outcome

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Integrative genomic analysis o ...... t drives poor clinical outcome

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Integrative genomic analysis o ...... t drives poor clinical outcome

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Integrative genomic analysis o ...... t drives poor clinical outcome

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Integrative genomic analysis o ...... t drives poor clinical outcome

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Integrative genomic analysis o ...... t drives poor clinical outcome

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Integrative genomic analysis o ...... t drives poor clinical outcome

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Integrative genomic analysis o ...... t drives poor clinical outcome

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JCO.2010.28.5148

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Journal of Clinical Oncology

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Integrative genomic analysis o ...... t drives poor clinical outcome

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Amar Gajjar

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Azra Ligon

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Ching C Lau

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James M Olson

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Keith Ligon

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Liliana Goumnerova

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Marcel Kool

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Pablo Tamayo

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Rameen Berhoukim

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Richard J Gilbertson

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Genomic amplification of orthodenticle homologue 2 in medulloblastomas

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

The miR-17/92 polycistron is up-regulated in sonic hedgehog-driven medulloblastomas and induced by N-myc in sonic hedgehog-treated cerebellar neural precursors

Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1

The miR-17~92 cluster collaborates with the Sonic Hedgehog pathway in medulloblastoma

The 2007 WHO classification of tumours of the central nervous system

MicroRNA expression profiles classify human cancers

Multiple recurrent genetic events converge on control of histone lysine methylation in medulloblastoma

MicroRNA-21 is an antiapoptotic factor in human glioblastoma cells

beta-Catenin status predicts a favorable outcome in childhood medulloblastoma: the United Kingdom Children's Cancer Study Group Brain Tumour Committee

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Jill P. Mesirov

Aviad Tsherniak

Matthew Meyerson

Olivier Delattre

Charles G Eberhart

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2011-04-10T00:00:00Z

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21098324

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medulloblastoma

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3082983

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