Literature DB >> 22070547

Review: personalized mice: modelling the molecular heterogeneity of medulloblastoma.

S L Markant1, R J Wechsler-Reya.   

Abstract

Medulloblastoma, the most common malignant paediatric brain tumour, is thought to arise from mutations in progenitors or stem cells in the cerebellum. Recent molecular analyses have highlighted the heterogeneity of these tumours, and demonstrated that they can be classified into at least four major subtypes that differ in terms of gene expression, genomic gains and losses, epidemiology and patient outcome. Along with analysis of human tumours, a variety of animal models of medulloblastoma have been developed using transgenic and knockout technology as well as somatic gene delivery. These models have provided valuable insight into the origins of the disease and the signalling pathways that control tumour growth. But the degree to which current models recapitulate the heterogeneity of the human disease remains unclear. Here we review the recent literature on the genomics of medulloblastoma and discuss the relationship of mouse models to the subtypes of the disease. Judicious use of existing models, and generation of additional models for poorly studied subtypes of medulloblastoma, will increase our understanding of tumour biology and allow evaluation of novel approaches to treatment of the disease.
© 2011 The Authors. Neuropathology and Applied Neurobiology © 2011 British Neuropathological Society.

Entities:  

Mesh:

Year:  2012        PMID: 22070547     DOI: 10.1111/j.1365-2990.2011.01235.x

Source DB:  PubMed          Journal:  Neuropathol Appl Neurobiol        ISSN: 0305-1846            Impact factor:   8.090


  11 in total

1.  An essential role for p38 MAPK in cerebellar granule neuron precursor proliferation.

Authors:  Cemile G Guldal; Adiba Ahmad; Andrey Korshunov; Massimo Squatrito; Aashir Awan; Lori A Mainwaring; Bipin Bhatia; Susana R Parathath; Zaher Nahle; Stefan Pfister; Anna M Kenney
Journal:  Acta Neuropathol       Date:  2012-04       Impact factor: 17.088

2.  SnapShot: Medulloblastoma.

Authors:  Jessica M Rusert; Xiaochong Wu; Charles G Eberhart; Michael D Taylor; Robert J Wechsler-Reya
Journal:  Cancer Cell       Date:  2014-12-08       Impact factor: 31.743

3.  Development and characterization of murine models of medulloblastoma extraneural growth in bone.

Authors:  Jessica M Grunda; Dezhi Wang; Gregory A Clines
Journal:  Clin Exp Metastasis       Date:  2013-03-15       Impact factor: 5.150

4.  A distinct Smoothened mutation causes severe cerebellar developmental defects and medulloblastoma in a novel transgenic mouse model.

Authors:  Joyoti Dey; Sally Ditzler; Sue E Knoblaugh; Beryl A Hatton; Janell M Schelter; Michele A Cleary; Brig Mecham; Lucy B Rorke-Adams; James M Olson
Journal:  Mol Cell Biol       Date:  2012-08-06       Impact factor: 4.272

5.  Novel gene expression model for outcome prediction in paediatric medulloblastoma.

Authors:  Magdalena Zakrzewska; Sylwia M Grešner; Krzysztof Zakrzewski; Beata Zalewska-Szewczyk; Pawel P Liberski
Journal:  J Mol Neurosci       Date:  2013-05-07       Impact factor: 3.444

Review 6.  Molecular subgroups of medulloblastoma.

Authors:  Paul A Northcott; Adrian M Dubuc; Stefan Pfister; Michael D Taylor
Journal:  Expert Rev Neurother       Date:  2012-07       Impact factor: 4.618

7.  Sleeping Beauty mutagenesis in a mouse medulloblastoma model defines networks that discriminate between human molecular subgroups.

Authors:  Laura A Genovesi; Ching Ging Ng; Melissa J Davis; Marc Remke; Michael D Taylor; David J Adams; Alistair G Rust; Jerrold M Ward; Kenneth H Ban; Nancy A Jenkins; Neal G Copeland; Brandon J Wainwright
Journal:  Proc Natl Acad Sci U S A       Date:  2013-10-28       Impact factor: 11.205

8.  MM2S: personalized diagnosis of medulloblastoma patients and model systems.

Authors:  Deena M A Gendoo; Benjamin Haibe-Kains
Journal:  Source Code Biol Med       Date:  2016-04-11

9.  BarTeL, a Genetically Versatile, Bioluminescent and Granule Neuron Precursor-Targeted Mouse Model for Medulloblastoma.

Authors:  Gregory M Shackleford; Xiang-He Shi; Kimberly S Swanson; Min Y Mahdi; Ignacio Gonzalez-Gomez; Shahab Asgharzadeh; Massimo D'Apuzzo; Anat Erdreich-Epstein; Rex A Moats
Journal:  PLoS One       Date:  2016-06-16       Impact factor: 3.240

10.  Oxamate, but Not Selective Targeting of LDH-A, Inhibits Medulloblastoma Cell Glycolysis, Growth and Motility.

Authors:  Cara J Valvona; Helen L Fillmore
Journal:  Brain Sci       Date:  2018-03-30
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