Literature DB >> 22090452

Prognostic classification of pediatric medulloblastoma based on chromosome 17p loss, expression of MYCC and MYCN, and Wnt pathway activation.

Ae Kyung Park1, Seung-Jun Lee, Ji Hoon Phi, Kyu-Chang Wang, Dong Gyu Kim, Byung-Kyu Cho, Christine Haberler, Sarah Fattet, Christelle Dufour, Stéphanie Puget, Christian Sainte-Rose, Franck Bourdeaut, Jacques Grill, Olivier Delattre, Seung-Ki Kim, Woong-Yang Park.   

Abstract

Pediatric medulloblastoma is considered a highly heterogeneous disease and a new strategy of risk stratification to optimize therapeutic outcomes is required. We aimed to investigate a new risk-stratification approach based on expression profiles of medulloblastoma cohorts. We analyzed gene expression profiles of 30 primary medulloblastomas and detected strong evidence that poor survival outcome was significantly associated with mRNA expression profiles of 17p loss. However, it was not supported in independent cohorts from previously published data (n = 100). We speculated that this discrepancy might come from complex conditions of two important prognostic determinants: loss of tumor suppressors (chromosome 17p) and high expression of oncogenes c-myc (MYCC) or N-myc (MYCN). When patients were stratified into 5 or 7 subgroups based on simultaneous consideration of these 2 factors while defining the Wnt group as independent, obviously different survival expectancies were detected between the subgroups. For instance, predicted 5-year survival probabilities ranged from 19% to 81% in the 5 subgroups. We also found that age became a significant prognostic marker after adjusting for 17p, MYCC, and MYCN status. Diminished survival in age <3 years was more substantial in subgroups with high expression of MYCC, MYCN, or 17p loss but not in other subgroups, indicating that poor survival outcome might be synergistically affected by these 3 factors. Here we suggest a more tailored subgrouping system based on expression profiles of chromosome 17p, MYCC, and MYCN, which could provide the basis for a novel risk-stratification strategy in pediatric medulloblastoma.

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Year:  2011        PMID: 22090452      PMCID: PMC3266382          DOI: 10.1093/neuonc/nor196

Source DB:  PubMed          Journal:  Neuro Oncol        ISSN: 1522-8517            Impact factor:   12.300


  50 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

Review 2.  Medulloblastoma: clinical and biologic aspects.

Authors:  R J Packer; P Cogen; G Vezina; L B Rorke
Journal:  Neuro Oncol       Date:  1999-07       Impact factor: 12.300

3.  Characterization of chromosome 17 abnormalities in medulloblastomas.

Authors:  N Aldosari; B K Rasheed; R E McLendon; H S Friedman; D D Bigner; S H Bigner
Journal:  Acta Neuropathol       Date:  2000-04       Impact factor: 17.088

4.  Genomic and protein expression profiling identifies CDK6 as novel independent prognostic marker in medulloblastoma.

Authors:  Frank Mendrzyk; Bernhard Radlwimmer; Stefan Joos; Felix Kokocinski; Axel Benner; Daniel E Stange; Kai Neben; Heike Fiegler; Nigel P Carter; Guido Reifenberger; Andrey Korshunov; Peter Lichter
Journal:  J Clin Oncol       Date:  2005-12-01       Impact factor: 44.544

5.  TrkC expression predicts good clinical outcome in primitive neuroectodermal brain tumors.

Authors:  M A Grotzer; A J Janss; K Fung; J A Biegel; L N Sutton; L B Rorke; H Zhao; A Cnaan; P C Phillips; V M Lee; J Q Trojanowski
Journal:  J Clin Oncol       Date:  2000-03       Impact factor: 44.544

6.  Combined histopathological and molecular cytogenetic stratification of medulloblastoma patients.

Authors:  Jayne M Lamont; Charles S McManamy; Andrew D Pearson; Steven C Clifford; David W Ellison
Journal:  Clin Cancer Res       Date:  2004-08-15       Impact factor: 12.531

7.  Failure of a medulloblastoma-derived mutant of SUFU to suppress WNT signaling.

Authors:  Michael D Taylor; Xiaoyun Zhang; Ling Liu; Chi-Chung Hui; Todd G Mainprize; Stephen W Scherer; Brandon Wainwright; David Hogg; James T Rutka
Journal:  Oncogene       Date:  2004-06-03       Impact factor: 9.867

Review 8.  The potential impact of tumour biology on improved clinical practice for medulloblastoma: progress towards biologically driven clinical trials.

Authors:  Barry L Pizer; Steven C Clifford
Journal:  Br J Neurosurg       Date:  2009-08       Impact factor: 1.596

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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  24 in total

1.  Treatment of pediatric average-risk medulloblastoma using craniospinal irradiation less than 2500 cGy and chemotherapy: single center experience in Korea.

Authors:  Jong Hyung Yoon; Kyung Duk Park; Hyoung Jin Kang; Hyery Kim; Ji Won Lee; Seung-Ki Kim; Kyu-Chang Wang; Sung-Hye Park; Il Han Kim; Hee Young Shin
Journal:  World J Pediatr       Date:  2017-05-27       Impact factor: 2.764

2.  Salinomycin Suppresses PDGFRβ, MYC, and Notch Signaling in Human Medulloblastoma.

Authors:  Shuang Zhou; Fengfei Wang; Ying Zhang; Max R Johnson; Steven Qian; Min Wu; Erxi Wu
Journal:  Austin J Pharmacol Ther       Date:  2014

3.  Genetic grouping of medulloblastomas by representative markers in pathologic diagnosis.

Authors:  Hye Sook Min; Ji Yeoun Lee; Seung-Ki Kim; Sung-Hye Park
Journal:  Transl Oncol       Date:  2013-06-01       Impact factor: 4.243

Review 4.  Medulloblastoma, WNT-activated/SHH-activated: clinical impact of molecular analysis and histogenetic evaluation.

Authors:  Eduardo Cambruzzi
Journal:  Childs Nerv Syst       Date:  2018-03-26       Impact factor: 1.475

5.  DNA methylation profiling is a method of choice for molecular verification of pediatric WNT-activated medulloblastomas.

Authors:  Andrey Korshunov; Felix Sahm; Olga Zheludkova; Andrey Golanov; Damian Stichel; Daniel Schrimpf; Marina Ryzhova; Alexander Potapov; Antje Habel; Jochen Meyer; Peter Lichter; David T W Jones; Andreas von Deimling; Stefan M Pfister; Marcel Kool
Journal:  Neuro Oncol       Date:  2019-02-14       Impact factor: 12.300

6.  Methylation-specific multiplex ligation-dependent probe amplification and its impact on clinical findings in medulloblastoma.

Authors:  Denise Feierabend; Jan Walter; Susanne Grube; Christian Herbold; Christian Beetz; Rolf Kalff; Christian Ewald
Journal:  J Neurooncol       Date:  2013-10-27       Impact factor: 4.130

7.  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

8.  SHH, WNT, and NOTCH pathways in medulloblastoma: when cancer stem cells maintain self-renewal and differentiation properties.

Authors:  Bruna Mascaro Cordeiro; Indhira Dias Oliveira; Maria Teresa de Seixas Alves; Nasjla Saba-Silva; Andrea M Capellano; Sergio Cavalheiro; Patrícia Dastoli; Silvia Regina Caminada Toledo
Journal:  Childs Nerv Syst       Date:  2014-04-03       Impact factor: 1.475

Review 9.  Role of MYC in Medulloblastoma.

Authors:  Martine F Roussel; Giles W Robinson
Journal:  Cold Spring Harb Perspect Med       Date:  2013-11-01       Impact factor: 6.915

10.  Cytogenetic prognostication within medulloblastoma subgroups.

Authors:  David J H Shih; Paul A Northcott; Marc Remke; Andrey Korshunov; Vijay Ramaswamy; Marcel Kool; Betty Luu; Yuan Yao; Xin Wang; Adrian M Dubuc; Livia Garzia; John Peacock; Stephen C Mack; Xiaochong Wu; Adi Rolider; A Sorana Morrissy; Florence M G Cavalli; David T W Jones; Karel Zitterbart; Claudia C Faria; Ulrich Schüller; Leos Kren; Toshihiro Kumabe; Teiji Tominaga; Young Shin Ra; Miklós Garami; Peter Hauser; Jennifer A Chan; Shenandoah Robinson; László Bognár; Almos Klekner; Ali G Saad; Linda M Liau; Steffen Albrecht; Adam Fontebasso; Giuseppe Cinalli; Pasqualino De Antonellis; Massimo Zollo; Michael K Cooper; Reid C Thompson; Simon Bailey; Janet C Lindsey; Concezio Di Rocco; Luca Massimi; Erna M C Michiels; Stephen W Scherer; Joanna J Phillips; Nalin Gupta; Xing Fan; Karin M Muraszko; Rajeev Vibhakar; Charles G Eberhart; Maryam Fouladi; Boleslaw Lach; Shin Jung; Robert J Wechsler-Reya; Michelle Fèvre-Montange; Anne Jouvet; Nada Jabado; Ian F Pollack; William A Weiss; Ji-Yeoun Lee; Byung-Kyu Cho; Seung-Ki Kim; Kyu-Chang Wang; Jeffrey R Leonard; Joshua B Rubin; Carmen de Torres; Cinzia Lavarino; Jaume Mora; Yoon-Jae Cho; Uri Tabori; James M Olson; Amar Gajjar; Roger J Packer; Stefan Rutkowski; Scott L Pomeroy; Pim J French; Nanne K Kloosterhof; Johan M Kros; Erwin G Van Meir; Steven C Clifford; Franck Bourdeaut; Olivier Delattre; François F Doz; Cynthia E Hawkins; David Malkin; Wieslawa A Grajkowska; Marta Perek-Polnik; Eric Bouffet; James T Rutka; Stefan M Pfister; Michael D Taylor
Journal:  J Clin Oncol       Date:  2014-02-03       Impact factor: 44.544

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