Literature DB >> 17126996

Classification of neuroblastoma patients by published gene-expression markers reveals a low sensitivity for unfavorable courses of MYCN non-amplified disease.

André Oberthuer1, Patrick Warnat, Yvonne Kahlert, Frank Westermann, Rüdiger Spitz, Benedikt Brors, Barbara Hero, Roland Eils, Manfred Schwab, Frank Berthold, Matthias Fischer.   

Abstract

Currently, Pubmed lists 385 marker genes for neuroblastoma outcome. Using a customized neuroblastoma-microarray, we evaluated the prognostic impact of the gene-expression pattern of 349 of these candidates (90.6%) in 127 neuroblastoma patients with divergent outcome. By significance analysis of microarrays (SAM) and both uncorrected and Bonferroni-corrected ANOVA, 166/349 (47.5%), 218/349 (62.5%) and 128/349 (36.4%) candidates showed significant differential expression between patients with contrasting outcome. By Prediction Analysis for Microarrays (PAM), a 38-gene-classifier was derived from all markers, which classified patients outcome with an overall accuracy of 78.5%. However, patients with unfavorable outcome of MYCN non-amplified disease were largely misclassified (accuracy: 35%), suggesting that these courses are not identified by current marker genes.

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Year:  2006        PMID: 17126996     DOI: 10.1016/j.canlet.2006.10.016

Source DB:  PubMed          Journal:  Cancer Lett        ISSN: 0304-3835            Impact factor:   8.679


  14 in total

1.  microRNA signature and expression of Dicer and Drosha can predict prognosis and delineate risk groups in neuroblastoma.

Authors:  Ruey-Jen Lin; You-Chin Lin; Jeremy Chen; Huan-Hsien Kuo; Yuan-Yan Chen; Mitchell B Diccianni; Wendy B London; Chih-Hao Chang; Alice L Yu
Journal:  Cancer Res       Date:  2010-08-30       Impact factor: 12.701

2.  Functional MYCN signature predicts outcome of neuroblastoma irrespective of MYCN amplification.

Authors:  Linda J Valentijn; Jan Koster; Franciska Haneveld; Rachida Ait Aissa; Peter van Sluis; Marloes E C Broekmans; Jan J Molenaar; Johan van Nes; Rogier Versteeg
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-22       Impact factor: 11.205

3.  Staging of biliary atresia at diagnosis by molecular profiling of the liver.

Authors:  Katie Moyer; Vivek Kaimal; Cristina Pacheco; Reena Mourya; Huan Xu; Pranavkumar Shivakumar; Ranajit Chakraborty; Marepalli Rao; John C Magee; Kevin Bove; Bruce J Aronow; Anil G Jegga; Jorge A Bezerra
Journal:  Genome Med       Date:  2010-05-13       Impact factor: 11.117

4.  High Myc pathway activity and low stage of neuronal differentiation associate with poor outcome in neuroblastoma.

Authors:  Erik Fredlund; Markus Ringnér; John M Maris; Sven Påhlman
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-09       Impact factor: 11.205

5.  PBX1 is a favorable prognostic biomarker as it modulates 13-cis retinoic acid-mediated differentiation in neuroblastoma.

Authors:  Nilay Shah; Jianjun Wang; Julia Selich-Anderson; Garrett Graham; Hasan Siddiqui; Xin Li; Javed Khan; Jeffrey Toretsky
Journal:  Clin Cancer Res       Date:  2014-06-19       Impact factor: 12.531

Review 6.  ArrayTrack: a free FDA bioinformatics tool to support emerging biomedical research--an update.

Authors:  Joshua Xu; Reagan Kelly; Hong Fang; Weida Tong
Journal:  Hum Genomics       Date:  2010-08       Impact factor: 4.639

7.  A 6-gene signature identifies four molecular subgroups of neuroblastoma.

Authors:  Frida Abel; Daniel Dalevi; Maria Nethander; Rebecka Jörnsten; Katleen De Preter; Joëlle Vermeulen; Raymond Stallings; Per Kogner; John Maris; Staffan Nilsson
Journal:  Cancer Cell Int       Date:  2011-04-14       Impact factor: 5.722

8.  An FDA bioinformatics tool for microbial genomics research on molecular characterization of bacterial foodborne pathogens using microarrays.

Authors:  Hong Fang; Joshua Xu; Don Ding; Scott A Jackson; Isha R Patel; Jonathan G Frye; Wen Zou; Rajesh Nayak; Steven Foley; James Chen; Zhenqiang Su; Yanbin Ye; Steve Turner; Steve Harris; Guangxu Zhou; Carl Cerniglia; Weida Tong
Journal:  BMC Bioinformatics       Date:  2010-10-07       Impact factor: 3.169

9.  Verification of genes differentially expressed in neuroblastoma tumours: a study of potential tumour suppressor genes.

Authors:  Kaisa Thorell; Annika Bergman; Helena Carén; Staffan Nilsson; Per Kogner; Tommy Martinsson; Frida Abel
Journal:  BMC Med Genomics       Date:  2009-08-17       Impact factor: 3.063

10.  Integrative analysis of neuroblastoma and pheochromocytoma genomics data.

Authors:  Peter M Szabó; Miklós Pintér; Diana Rita Szabó; Adrienn Zsippai; Attila Patócs; András Falus; Károly Rácz; Peter Igaz
Journal:  BMC Med Genomics       Date:  2012-10-29       Impact factor: 3.063

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