Literature DB >> 19255330

Outcome prediction in pediatric medulloblastoma based on DNA copy-number aberrations of chromosomes 6q and 17q and the MYC and MYCN loci.

Stefan Pfister1, Marc Remke, Axel Benner, Frank Mendrzyk, Grischa Toedt, Jörg Felsberg, Andrea Wittmann, Frauke Devens, Nicolas U Gerber, Stefan Joos, Andreas Kulozik, Guido Reifenberger, Stefan Rutkowski, Otmar D Wiestler, Bernhard Radlwimmer, Wolfram Scheurlen, Peter Lichter, Andrey Korshunov.   

Abstract

PURPOSE: Medulloblastoma is the most common malignant brain tumor in children. Current treatment decisions are based on clinical variables. Novel tumor-derived biomarkers may improve the risk stratification of medulloblastoma patients. PATIENTS AND METHODS: A model for the molecular risk stratification was proposed from an array-based comparative genomic hybridization (array-CGH) screen (n = 80). Fluorescence in situ hybridization (FISH) analyses for chromosome arms 6q, 17p, and 17q and the MYC and MYCN loci were performed in an independent validation set (n = 260). Copy number aberrations were correlated with clinical, histologic, and survival data.
RESULTS: Gain of 6q and 17q and genomic amplification of MYC or MYCN were each associated with poor outcome in the array-CGH study (n = 80). In contrast, all patients with 6q-deleted tumors survived. Given these findings, the following hierarchical molecular staging system was defined: (1) MYC/MYCN amplification, (2) 6q gain, (3) 17q gain, (4) 6q and 17q balanced, and (5) 6q deletion. The prognostic value of this staging system was investigated by FISH analysis (n = 260). The addition of molecular markers to clinical risk factors resulted in the identification of a large proportion of patients (72 of 260 patients; 30%) at high risk for relapse and death who would be considered standard risk by application of clinical variables alone.
CONCLUSION: Genomic aberrations in medulloblastoma are powerful independent markers of disease progression and survival. By adding genomic markers to established clinical and histologic variables, outcome prediction can be substantially improved. Because the analyses can be conducted on routine paraffin-embedded material, it will be especially feasible to use this novel molecular staging system in large multicenter clinical trials.

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Year:  2009        PMID: 19255330     DOI: 10.1200/JCO.2008.17.9432

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  121 in total

1.  Definition of disease-risk stratification groups in childhood medulloblastoma using combined clinical, pathologic, and molecular variables.

Authors:  David W Ellison; Mehmet Kocak; James Dalton; Hisham Megahed; Meryl E Lusher; Sarra L Ryan; Wei Zhao; Sarah Leigh Nicholson; Roger E Taylor; Simon Bailey; Steven C Clifford
Journal:  J Clin Oncol       Date:  2010-10-04       Impact factor: 44.544

2.  Isochromosome 17q, MYC amplification and large cell/anaplastic phenotype in a case of medullomyoblastoma with extracranial metastases.

Authors:  Karen D Wright; Kendra von der Embse; Jamie Coleman; Zoltan Patay; David W Ellison; Amar Gajjar
Journal:  Pediatr Blood Cancer       Date:  2011-12-06       Impact factor: 3.167

3.  Pleiotropic effects of miR-183~96~182 converge to regulate cell survival, proliferation and migration in medulloblastoma.

Authors:  Shyamal Dilhan Weeraratne; Vladimir Amani; Natalia Teider; Jessica Pierre-Francois; Dominic Winter; Min Jeong Kye; Soma Sengupta; Tenley Archer; Marc Remke; Alfa H C Bai; Peter Warren; Stefan M Pfister; Judith A J Steen; Scott L Pomeroy; Yoon-Jae Cho
Journal:  Acta Neuropathol       Date:  2012-03-10       Impact factor: 17.088

4.  Novel cell lines established from pediatric brain tumors.

Authors:  Jingying Xu; Anat Erdreich-Epstein; Ignacio Gonzalez-Gomez; Elizabeth Y Melendez; Goar Smbatyan; Rex A Moats; Michael Rosol; Jaclyn A Biegel; C Patrick Reynolds
Journal:  J Neurooncol       Date:  2011-11-27       Impact factor: 4.130

5.  Risk stratification of medulloblastoma: a paradigm for future childhood brain tumor management strategies.

Authors:  Roger J Packer
Journal:  Curr Neurol Neurosci Rep       Date:  2011-04       Impact factor: 5.081

6.  Subtype-specific FBXW7 mutation and MYCN copy number gain in Wilms' tumor.

Authors:  Richard D Williams; Reem Al-Saadi; Tasnim Chagtai; Sergey Popov; Boo Messahel; Neil Sebire; Manfred Gessler; Jenny Wegert; Norbert Graf; Ivo Leuschner; Mike Hubank; Chris Jones; Gordan Vujanic; Kathy Pritchard-Jones
Journal:  Clin Cancer Res       Date:  2010-03-23       Impact factor: 12.531

Review 7.  Matching mice to malignancy: molecular subgroups and models of medulloblastoma.

Authors:  Jasmine Lau; Christin Schmidt; Shirley L Markant; Michael D Taylor; Robert J Wechsler-Reya; William A Weiss
Journal:  Childs Nerv Syst       Date:  2012-04       Impact factor: 1.475

8.  Chromosomal heterogeneity and instability characterize pediatric medulloblastoma cell lines and affect neoplastic phenotype.

Authors:  Angel Mauricio Castro-Gamero; Kleiton Silva Borges; Regia Caroline Lira; Augusto Faria Andrade; Paola Fernanda Fedatto; Gustavo Alencastro Veiga Cruzeiro; Ricardo Bonfim Silva; Aparecida Maria Fontes; Elvis Terci Valera; Michael Bobola; Carlos Alberto Scrideli; Luiz Gonzaga Tone
Journal:  Cytotechnology       Date:  2013-01-17       Impact factor: 2.058

Review 9.  Brain tumors across the age spectrum: biology, therapy, and late effects.

Authors:  Thomas E Merchant; Ian F Pollack; Jay S Loeffler
Journal:  Semin Radiat Oncol       Date:  2010-01       Impact factor: 5.934

10.  Genomic analysis identifies new drivers and progression pathways in skin basal cell carcinoma.

Authors:  Ximena Bonilla; Laurent Parmentier; Bryan King; Fedor Bezrukov; Gürkan Kaya; Vincent Zoete; Vladimir B Seplyarskiy; Hayley J Sharpe; Thomas McKee; Audrey Letourneau; Pascale G Ribaux; Konstantin Popadin; Nicole Basset-Seguin; Rouaa Ben Chaabene; Federico A Santoni; Maria A Andrianova; Michel Guipponi; Marco Garieri; Carole Verdan; Kerstin Grosdemange; Olga Sumara; Martin Eilers; Iannis Aifantis; Olivier Michielin; Frederic J de Sauvage; Stylianos E Antonarakis; Sergey I Nikolaev
Journal:  Nat Genet       Date:  2016-03-07       Impact factor: 38.330

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