Literature DB >> 22139329

MYC family amplification and clinical risk-factors interact to predict an extremely poor prognosis in childhood medulloblastoma.

Sarra L Ryan1, Ed C Schwalbe, Michael Cole, Yuan Lu, Meryl E Lusher, Hisham Megahed, Kieran O'Toole, Sarah Leigh Nicholson, Laszlo Bognar, Miklos Garami, Peter Hauser, Andrey Korshunov, Stefan M Pfister, Daniel Williamson, Roger E Taylor, David W Ellison, Simon Bailey, Steven C Clifford.   

Abstract

The MYC oncogenes are the most commonly amplified loci in medulloblastoma, and have previously been proposed as biomarkers of adverse disease prognosis by us and others. Here, we report focussed and comprehensive investigations of MYCC, MYCN and MYCL in an extensive medulloblastoma cohort (n = 292), aimed to define more precisely their biological significance and optimal clinical application to direct improved disease risk-stratification and individualisation of therapy. MYCC and MYCN expression elevations were multifactorial, associated with high-risk (gene amplification, large-cell/anaplastic pathology (LCA)) and favourable-risk (WNT/SHH molecular subgroups) disease features. Highly variable cellular gene amplification patterns underlay overall MYC copy number elevations observed in tumour biopsies; we used these alternative measures together to define quantitative methodologies and thresholds for amplification detection in routinely collected tumour material. MYCC and MYCN amplification, but not gain, each had independent prognostic significance in non-infants (≥3.0-16.0 years), but MYCC conferred a greater hazard to survival than MYCN when considered across this treatment group. MYCN's weaker group-wide survival relationship may be explained by its pleiotropic behaviour between clinical disease-risk groups; MYCN predicted poor prognosis in clinical high-risk (metastatic (M+) or LCA), but not standard-risk, patients. Extending these findings, survival decreased in proportion to the total number of independently significant high-risk features present (LCA, M+ or MYCC/MYCN amplification). This cumulative-risk model defines a patient group characterised by ≥2 independent risk-factors and an extremely poor prognosis (<15% survival), which can be identified straightforwardly using the reported MYC amplification detection methodologies alongside clinical assessments, enabling targeting for novel/intensified therapies in future clinical studies.

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Year:  2011        PMID: 22139329     DOI: 10.1007/s00401-011-0923-y

Source DB:  PubMed          Journal:  Acta Neuropathol        ISSN: 0001-6322            Impact factor:   17.088


  48 in total

Review 1.  Medulloblastoma-biology and microenvironment: a review.

Authors:  Tiara Byrd; Robert G Grossman; Nabil Ahmed
Journal:  Pediatr Hematol Oncol       Date:  2012-06-28       Impact factor: 1.969

2.  Synergistic anti-cancer effects of epigenetic drugs on medulloblastoma cells.

Authors:  Juan Yuan; Núria Llamas Luceño; Bjoern Sander; Monika M Golas
Journal:  Cell Oncol (Dordr)       Date:  2017-04-20       Impact factor: 6.730

3.  Novel Serine 176 Phosphorylation of YBX1 Activates NF-κB in Colon Cancer.

Authors:  Matthew Martin; Laiqing Hua; Benlian Wang; Han Wei; Lakshmi Prabhu; Antja-Voy Hartley; Guanglong Jiang; Yunlong Liu; Tao Lu
Journal:  J Biol Chem       Date:  2017-01-11       Impact factor: 5.157

4.  HD-MB03 is a novel Group 3 medulloblastoma model demonstrating sensitivity to histone deacetylase inhibitor treatment.

Authors:  Till Milde; Marco Lodrini; Larissa Savelyeva; Andrey Korshunov; Marcel Kool; Lena M Brueckner; André S L M Antunes; Ina Oehme; Arnulf Pekrun; Stefan M Pfister; Andreas E Kulozik; Olaf Witt; Hedwig E Deubzer
Journal:  J Neurooncol       Date:  2012-10-06       Impact factor: 4.130

5.  Medulloblastoma.

Authors:  Katja von Hoff; Stefan Rutkowski
Journal:  Curr Treat Options Neurol       Date:  2012-08       Impact factor: 3.598

6.  Could α5-GABA-A receptor activation be used as a target for managing medulloblastomas?

Authors:  Soma Sengupta; Shyamal D Weeraratne; Yoon-Jae Cho; Scott L Pomeroy
Journal:  CNS Oncol       Date:  2014-07

7.  [Molecular diagnostics in neuropathology].

Authors:  W Dietmaier; J Lorenz; M J Riemenschneider
Journal:  Pathologe       Date:  2015-03       Impact factor: 1.011

Review 8.  Molecular markers in pediatric neuro-oncology.

Authors:  Koichi Ichimura; Ryo Nishikawa; Masao Matsutani
Journal:  Neuro Oncol       Date:  2012-09       Impact factor: 12.300

Review 9.  Medulloblastoma development: tumor biology informs treatment decisions.

Authors:  Vidya Gopalakrishnan; Rong-Hua Tao; Tara Dobson; William Brugmann; Soumen Khatua
Journal:  CNS Oncol       Date:  2015

10.  Genome sequencing of SHH medulloblastoma predicts genotype-related response to smoothened inhibition.

Authors:  Marcel Kool; David T W Jones; Natalie Jäger; Paul A Northcott; Trevor J Pugh; Volker Hovestadt; Rosario M Piro; L Adriana Esparza; Shirley L Markant; Marc Remke; Till Milde; Franck Bourdeaut; Marina Ryzhova; Dominik Sturm; Elke Pfaff; Sebastian Stark; Sonja Hutter; Huriye Seker-Cin; Pascal Johann; Sebastian Bender; Christin Schmidt; Tobias Rausch; David Shih; Jüri Reimand; Laura Sieber; Andrea Wittmann; Linda Linke; Hendrik Witt; Ursula D Weber; Marc Zapatka; Rainer König; Rameen Beroukhim; Guillaume Bergthold; Peter van Sluis; Richard Volckmann; Jan Koster; Rogier Versteeg; Sabine Schmidt; Stephan Wolf; Chris Lawerenz; Cynthia C Bartholomae; Christof von Kalle; Andreas Unterberg; Christel Herold-Mende; Silvia Hofer; Andreas E Kulozik; Andreas von Deimling; Wolfram Scheurlen; Jörg Felsberg; Guido Reifenberger; Martin Hasselblatt; John R Crawford; Gerald A Grant; Nada Jabado; Arie Perry; Cynthia Cowdrey; Sydney Croul; Gelareh Zadeh; Jan O Korbel; Francois Doz; Olivier Delattre; Gary D Bader; Martin G McCabe; V Peter Collins; Mark W Kieran; Yoon-Jae Cho; Scott L Pomeroy; Olaf Witt; Benedikt Brors; Michael D Taylor; Ulrich Schüller; Andrey Korshunov; Roland Eils; Robert J Wechsler-Reya; Peter Lichter; Stefan M Pfister
Journal:  Cancer Cell       Date:  2014-03-17       Impact factor: 31.743

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