Literature DB >> 24737690

Chromosome 17/17q gain and unaltered profiles in high resolution array-CGH are prognostically informative in neuroblastoma.

Jessica Theissen1, Andre Oberthuer, Anja Hombach, Ruth Volland, Falk Hertwig, Matthias Fischer, Ruediger Spitz, Marc Zapatka, Benedikt Brors, Monika Ortmann, Thorsten Simon, Barbara Hero, Frank Berthold.   

Abstract

The prognostic relevance of chromosome 17 gain in neuroblastoma is still discussed. This investigation specifies the frequency, type, size, and transcriptional relevance in a large patient cohort. Primary tumor material of 202 patients was analyzed using high-resolution oligonucleotide array-based comparative genomic hybridization (aCGH) and correlated with clinical and survival data. A subset (n = 145) was correlated for differentially expressed genes (DEG) by microarray analysis. Chromosome 17 aCGH analysis showed numerical gain in 94/202 patients (47%), partial gain in 93/202 patients (46%), and no gain in 15/202 patients (7%). The frequency of partial gain was higher in stage 4 neuroblastoma (stage 1 15%; stage 2 12%; stage 3 16%; stage 4S 7%; and stage 4 50%). Overall survival (OS) was superior in patients with numerical gain compared with patients with partial gain or no gain (5-y-OS: 0.95 ± 0.02 vs. 0.63 ± 0.05 vs. 0.60 ± 0.13; P < 0.001). Gene expression analysis demonstrated 95/130 DEGs between tumors with numerical or partial chromosome/no gain. Only one DEG (CCKBR) was detected comparing tumors with partial gain and those with no gain. In patients with partial gain, the distribution of breakpoints did not correlate with stage and 11q status, but with MYCN amplification and 1p status. The "best" breakpoints in cases with partial 17q gain were at 42.5 Mb for event-free and 26.6 Mb for OS. Numerical gain of chromosome 17 is associated with a better prognosis than partial and no gain. The group of tumors with partial gain was similar to the group without gain with respect to stage distribution, outcome, and gene expression profile.
© 2014 Wiley Periodicals, Inc.

Entities:  

Mesh:

Year:  2014        PMID: 24737690     DOI: 10.1002/gcc.22174

Source DB:  PubMed          Journal:  Genes Chromosomes Cancer        ISSN: 1045-2257            Impact factor:   5.006


  19 in total

Review 1.  Neuroblastoma: molecular pathogenesis and therapy.

Authors:  Chrystal U Louis; Jason M Shohet
Journal:  Annu Rev Med       Date:  2014-10-27       Impact factor: 13.739

2.  Mutational dynamics between primary and relapse neuroblastomas.

Authors:  Alexander Schramm; Johannes Köster; Yassen Assenov; Kristina Althoff; Martin Peifer; Ellen Mahlow; Andrea Odersky; Daniela Beisser; Corinna Ernst; Anton G Henssen; Harald Stephan; Christopher Schröder; Lukas Heukamp; Anne Engesser; Yvonne Kahlert; Jessica Theissen; Barbara Hero; Frederik Roels; Janine Altmüller; Peter Nürnberg; Kathy Astrahantseff; Christian Gloeckner; Katleen De Preter; Christoph Plass; Sangkyun Lee; Holger N Lode; Kai-Oliver Henrich; Moritz Gartlgruber; Frank Speleman; Peter Schmezer; Frank Westermann; Sven Rahmann; Matthias Fischer; Angelika Eggert; Johannes H Schulte
Journal:  Nat Genet       Date:  2015-06-29       Impact factor: 38.330

3.  Comparative genetic study of intratumoral heterogenous MYCN amplified neuroblastoma versus aggressive genetic profile neuroblastic tumors.

Authors:  A P Berbegall; E Villamón; M Piqueras; I Tadeo; A Djos; P F Ambros; T Martinsson; I M Ambros; A Cañete; V Castel; S Navarro; R Noguera
Journal:  Oncogene       Date:  2015-06-29       Impact factor: 9.867

4.  Investigation of major genetic alterations in neuroblastoma.

Authors:  Régis Afonso Costa; Héctor N Seuánez
Journal:  Mol Biol Rep       Date:  2018-02-17       Impact factor: 2.316

Review 5.  Energy metabolism in neuroblastoma and Wilms tumor.

Authors:  Sepideh Aminzadeh; Silvia Vidali; Wolfgang Sperl; Barbara Kofler; René G Feichtinger
Journal:  Transl Pediatr       Date:  2015-01

6.  Multiple mechanisms disrupt the let-7 microRNA family in neuroblastoma.

Authors:  John T Powers; Kaloyan M Tsanov; Daniel S Pearson; Frederik Roels; Catherine S Spina; Richard Ebright; Marc Seligson; Yvanka de Soysa; Patrick Cahan; Jessica Theißen; Ho-Chou Tu; Areum Han; Kyle C Kurek; Grace S LaPier; Jihan K Osborne; Samantha J Ross; Marcella Cesana; James J Collins; Frank Berthold; George Q Daley
Journal:  Nature       Date:  2016-07-06       Impact factor: 49.962

Review 7.  Long noncoding RNAs and neuroblastoma.

Authors:  Gaurav Kumar Pandey; Chandrasekhar Kanduri
Journal:  Oncotarget       Date:  2015-07-30

8.  Molecular Classification Substitutes for the Prognostic Variables Stage, Age, and MYCN Status in Neuroblastoma Risk Assessment.

Authors:  Carolina Rosswog; Rene Schmidt; André Oberthuer; Dilafruz Juraeva; Benedikt Brors; Anne Engesser; Yvonne Kahlert; Ruth Volland; Christoph Bartenhagen; Thorsten Simon; Frank Berthold; Barbara Hero; Andreas Faldum; Matthias Fischer
Journal:  Neoplasia       Date:  2017-11-05       Impact factor: 5.715

9.  Predicting clinical outcome of neuroblastoma patients using an integrative network-based approach.

Authors:  Léon-Charles Tranchevent; Petr V Nazarov; Tony Kaoma; Georges P Schmartz; Arnaud Muller; Sang-Yoon Kim; Jagath C Rajapakse; Francisco Azuaje
Journal:  Biol Direct       Date:  2018-06-07       Impact factor: 4.540

10.  Multi-omics integration for neuroblastoma clinical endpoint prediction.

Authors:  Margherita Francescatto; Marco Chierici; Setareh Rezvan Dezfooli; Alessandro Zandonà; Giuseppe Jurman; Cesare Furlanello
Journal:  Biol Direct       Date:  2018-04-03       Impact factor: 4.540

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.