Literature DB >> 21979893

Novel amplifications in pediatric medulloblastoma identified by genome-wide copy number profiling.

Helena Nord1, Susan Pfeifer, Pelle Nilsson, Johanna Sandgren, Svetlana Popova, Bo Strömberg, Irina Alafuzoff, Monica Nistér, Teresita Díaz de Ståhl.   

Abstract

Medulloblastoma (MB) is a WHO grade IV, invasive embryonal CNS tumor that mainly affects children. The aggressiveness and response to therapy can vary considerably between cases, and despite treatment, ~30% of patients die within 2 years from diagnosis. Furthermore, the majority of survivors suffer long-term side-effects due to severe management modalities. Several distinct morphological features have been associated with differences in biological behavior, but improved molecular-based criteria that better reflect the underlying tumor biology are in great demand. In this study, we profiled a series of 25 MB with a 32K BAC array covering 99% of the current assembly of the human genome for the identification of genetic copy number alterations possibly important in MB. Previously known aberrations as well as several novel focally amplified loci could be identified. As expected, the most frequently observed alteration was the combination of 17p loss and 17q gain, which was detected in both high- and standard-risk patients. We also defined minimal overlapping regions of aberrations, including 16 regions of gain and 18 regions of loss in various chromosomes. A few noteworthy narrow amplified loci were identified on autosomes 1 (38.89-41.97 and 84.89-90.76 Mb), 3 (27.64-28.20 and 35.80-43.50 Mb), and 8 (119.66-139.79 Mb), aberrations that were verified with an alternative platform (Illumina 610Q chips). Gene expression levels were also established for these samples using Affymetrix U133Plus2.0 arrays. Several interesting genes encompassed within the amplified regions and presenting with transcript upregulation were identified. These data contribute to the characterization of this malignant childhood brain tumor and confirm its genetic heterogeneity.

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Year:  2011        PMID: 21979893     DOI: 10.1007/s11060-011-0716-0

Source DB:  PubMed          Journal:  J Neurooncol        ISSN: 0167-594X            Impact factor:   4.130


  54 in total

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

Authors:  Yoon-Jae Cho; Aviad Tsherniak; Pablo Tamayo; Sandro Santagata; Azra Ligon; Heidi Greulich; Rameen Berhoukim; Vladimir Amani; Liliana Goumnerova; Charles G Eberhart; Ching C Lau; James M Olson; Richard J Gilbertson; Amar Gajjar; Olivier Delattre; Marcel Kool; Keith Ligon; Matthew Meyerson; Jill P Mesirov; Scott L Pomeroy
Journal:  J Clin Oncol       Date:  2010-11-22       Impact factor: 44.544

2.  Matrix-based comparative genomic hybridization: biochips to screen for genomic imbalances.

Authors:  S Solinas-Toldo; S Lampel; S Stilgenbauer; J Nickolenko; A Benner; H Döhner; T Cremer; P Lichter
Journal:  Genes Chromosomes Cancer       Date:  1997-12       Impact factor: 5.006

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

Authors:  David W Ellison; Olabisi E Onilude; Janet C Lindsey; Meryl E Lusher; Claire L Weston; Roger E Taylor; Andrew D Pearson; Steven C Clifford
Journal:  J Clin Oncol       Date:  2005-11-01       Impact factor: 44.544

4.  Medulloblastoma: clinicopathological correlates of SHH, WNT, and non-SHH/WNT molecular subgroups.

Authors:  David W Ellison; James Dalton; Mehmet Kocak; Sarah Leigh Nicholson; Charles Fraga; Geoff Neale; Anna M Kenney; Dan J Brat; Arie Perry; William H Yong; Roger E Taylor; Simon Bailey; Steven C Clifford; Richard J Gilbertson
Journal:  Acta Neuropathol       Date:  2011-01-26       Impact factor: 17.088

5.  The LCB Data Warehouse.

Authors:  Adam Ameur; Vladimir Yankovski; Stefan Enroth; Ola Spjuth; Jan Komorowski
Journal:  Bioinformatics       Date:  2006-02-02       Impact factor: 6.937

6.  Dickkopf-1 is an epigenetically silenced candidate tumor suppressor gene in medulloblastoma.

Authors:  Rajeev Vibhakar; Greg Foltz; Jae-Geun Yoon; Lorie Field; Hwahyung Lee; Gi-Yung Ryu; Jessica Pierson; Beverly Davidson; Anup Madan
Journal:  Neuro Oncol       Date:  2007-02-28       Impact factor: 12.300

7.  Gene expression meta-analysis identifies chromosomal regions and candidate genes involved in breast cancer metastasis.

Authors:  Mads Thomassen; Qihua Tan; Torben A Kruse
Journal:  Breast Cancer Res Treat       Date:  2008-02-22       Impact factor: 4.872

Review 8.  Medulloblastoma: tumorigenesis, current clinical paradigm, and efforts to improve risk stratification.

Authors:  William R Polkinghorn; Nancy J Tarbell
Journal:  Nat Clin Pract Oncol       Date:  2007-05

9.  Gain of 1q is a potential univariate negative prognostic marker for survival in medulloblastoma.

Authors:  Ken C Lo; Changxing Ma; Brian N Bundy; Scott L Pomeroy; Charles G Eberhart; John K Cowell
Journal:  Clin Cancer Res       Date:  2007-12-01       Impact factor: 12.531

10.  Clinical and molecular stratification of disease risk in medulloblastoma.

Authors:  R Gilbertson; C Wickramasinghe; R Hernan; V Balaji; D Hunt; D Jones-Wallace; J Crolla; R Perry; J Lunec; A Pearson; D Ellison
Journal:  Br J Cancer       Date:  2001-09-01       Impact factor: 7.640

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  1 in total

1.  Human cytomegalovirus tegument protein pp65 is detected in all intra- and extra-axial brain tumours independent of the tumour type or grade.

Authors:  Sylwia Libard; Svetlana N Popova; Rose-Marie Amini; Vesa Kärjä; Timo Pietiläinen; Kirsi M Hämäläinen; Christer Sundström; Göran Hesselager; Michael Bergqvist; Simon Ekman; Maria Zetterling; Anja Smits; Pelle Nilsson; Susan Pfeifer; Teresita Diaz de Ståhl; Gunilla Enblad; Fredrik Ponten; Irina Alafuzoff
Journal:  PLoS One       Date:  2014-09-30       Impact factor: 3.240

  1 in total

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