Literature DB >> 19515614

Predicting outcomes for children with neuroblastoma using a multigene-expression signature: a retrospective SIOPEN/COG/GPOH study.

Joëlle Vermeulen1, Katleen De Preter, Arlene Naranjo, Liesbeth Vercruysse, Nadine Van Roy, Jan Hellemans, Katrien Swerts, Sophie Bravo, Paola Scaruffi, Gian Paolo Tonini, Bruno De Bernardi, Rosa Noguera, Marta Piqueras, Adela Cañete, Victoria Castel, Isabelle Janoueix-Lerosey, Olivier Delattre, Gudrun Schleiermacher, Jean Michon, Valérie Combaret, Matthias Fischer, André Oberthuer, Peter F Ambros, Klaus Beiske, Jean Bénard, Bárbara Marques, Hervé Rubie, Janice Kohler, Ulrike Pötschger, Ruth Ladenstein, Michael D Hogarty, Patrick McGrady, Wendy B London, Geneviève Laureys, Frank Speleman, Jo Vandesompele.   

Abstract

BACKGROUND: More accurate prognostic assessment of patients with neuroblastoma is required to better inform the choice of risk-related therapy. The aim of this study is to develop and validate a gene-expression signature to improve outcome prediction.
METHODS: 59 genes were selected using an innovative data-mining strategy, and were profiled in the largest neuroblastoma patient series (n=579) to date using real-time quantitative PCR starting from only 20 ng of RNA. A multigene-expression signature was built using 30 training samples, tested on 313 test samples, and subsequently validated in a blind study on an independent set of 236 tumours.
FINDINGS: The signature has a performance, sensitivity, and specificity of 85.4% (95% CI 77.7-93.2), 84.4% (66.5-94.1), and 86.5% (81.1-90.6), respectively, to predict patient outcome. Multivariate analysis indicates that the signature is a significant independent predictor of overall survival and progression-free survival after controlling for currently used risk factors: patients with high molecular risk have a higher risk of death from disease and higher risk of relapse or progression than patients with low molecular risk (odds ratio 19.32 [95% CI 6.50-57.43] and 3.96 [1.97-7.97] for overall survival and progression-free survival, respectively, both p<0.0001). Patients at an increased risk of an adverse outcome can also be identified in the current treatment groups, showing the potential of this signature for improved clinical management. These results were confirmed in the validation study, in which the signature was also independently statistically significant in a model adjusted for MYCN status, age, International Neuroblastoma Staging System stage, ploidy, International Neuroblastoma Pathology Classification grade of differentiation, and mitosis karyorrhexis index (odds ratios between 4.81 and 10.53 depending on the model for overall survival and 3.68 [95% CI 2.01-6.71] for progression-free survival).
INTERPRETATION: The 59-gene expression signature is an accurate predictor of outcome in patients with neuroblastoma. The signature is an independent risk predictor, identifying patients with an increased risk of poor outcome in the current clinical-risk groups. The method and signature is suitable for routine laboratory testing, and should be evaluated in prospective studies. FUNDING: The Belgian Foundation Against Cancer, the Children Cancer Fund Ghent, the Belgian Society of Paediatric Haematology and Oncology, the Belgian Kid's Fund and the Fondation Nuovo-Soldati (JV), the Fund for Scientific Research Flanders (KDP, JH), the Fund for Scientific Research Flanders, the Institute for the Promotion of Innovation by Science and Technology in Flanders, Strategisch basisonderzoek, the Fondation Fournier Majoie pour l'Innovation, the Instituto Carlos III, the Italian Neuroblastoma Foundation, the European Community under the FP6, and the Belgian programme of Interuniversity Poles of Attraction.

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Year:  2009        PMID: 19515614      PMCID: PMC3045079          DOI: 10.1016/S1470-2045(09)70154-8

Source DB:  PubMed          Journal:  Lancet Oncol        ISSN: 1470-2045            Impact factor:   41.316


  30 in total

1.  Reduced expression of CAMTA1 correlates with adverse outcome in neuroblastoma patients.

Authors:  Kai-Oliver Henrich; Matthias Fischer; Daniel Mertens; Axel Benner; Ruprecht Wiedemeyer; Benedikt Brors; André Oberthuer; Frank Berthold; Jun Stephen Wei; Javed Khan; Manfred Schwab; Frank Westermann
Journal:  Clin Cancer Res       Date:  2006-01-01       Impact factor: 12.531

Review 2.  RNA integrity and the effect on the real-time qRT-PCR performance.

Authors:  Simone Fleige; Michael W Pfaffl
Journal:  Mol Aspects Med       Date:  2006-02-15

3.  Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer.

Authors:  Yixin Wang; Jan G M Klijn; Yi Zhang; Anieta M Sieuwerts; Maxime P Look; Fei Yang; Dmitri Talantov; Mieke Timmermans; Marion E Meijer-van Gelder; Jack Yu; Tim Jatkoe; Els M J J Berns; David Atkins; John A Foekens
Journal:  Lancet       Date:  2005 Feb 19-25       Impact factor: 79.321

4.  Gene expression profiling predicts clinical outcome of breast cancer.

Authors:  Laura J van 't Veer; Hongyue Dai; Marc J van de Vijver; Yudong D He; Augustinus A M Hart; Mao Mao; Hans L Peterse; Karin van der Kooy; Matthew J Marton; Anke T Witteveen; George J Schreiber; Ron M Kerkhoven; Chris Roberts; Peter S Linsley; René Bernards; Stephen H Friend
Journal:  Nature       Date:  2002-01-31       Impact factor: 49.962

5.  Expression profiling using a tumor-specific cDNA microarray predicts the prognosis of intermediate risk neuroblastomas.

Authors:  Miki Ohira; Shigeyuki Oba; Yohko Nakamura; Eriko Isogai; Setsuko Kaneko; Atsuko Nakagawa; Takahiro Hirata; Hiroyuki Kubo; Takeshi Goto; Saichi Yamada; Yasuko Yoshida; Misa Fuchioka; Shin Ishii; Akira Nakagawara
Journal:  Cancer Cell       Date:  2005-04       Impact factor: 31.743

6.  Treatment of children over the age of one year with unresectable localised neuroblastoma without MYCN amplification: results of the SIOPEN study.

Authors:  J A Kohler; H Rubie; V Castel; K Beiske; K Holmes; C Gambini; F Casale; C Munzer; G Erminio; S Parodi; S Navarro; C Marquez; M Peuchmaur; C Cullinane; P Brock; D Valteau-Couanet; A Garaventa; R Haupt
Journal:  Eur J Cancer       Date:  2013-07-29       Impact factor: 9.162

7.  Loss of a FYN-regulated differentiation and growth arrest pathway in advanced stage neuroblastoma.

Authors:  Bernd Berwanger; Oliver Hartmann; Eckhard Bergmann; Sandra Bernard; Dirk Nielsen; Michael Krause; Ali Kartal; Daniel Flynn; Ruprecht Wiedemeyer; Manfred Schwab; Helmut Schäfer; Holger Christiansen; Martin Eilers
Journal:  Cancer Cell       Date:  2002-11       Impact factor: 31.743

8.  Diagnosis of multiple cancer types by shrunken centroids of gene expression.

Authors:  Robert Tibshirani; Trevor Hastie; Balasubramanian Narasimhan; Gilbert Chu
Journal:  Proc Natl Acad Sci U S A       Date:  2002-05-14       Impact factor: 11.205

9.  Prediction of clinical outcome and biological characterization of neuroblastoma by expression profiling.

Authors:  Alexander Schramm; Johannes H Schulte; Ludger Klein-Hitpass; Werner Havers; Hauke Sieverts; Bernd Berwanger; Holger Christiansen; Patrick Warnat; Benedikt Brors; Jürgen Eils; Roland Eils; Angelika Eggert
Journal:  Oncogene       Date:  2005-11-24       Impact factor: 9.867

Review 10.  Oligonucleotide microarray analysis of gene expression in neuroblastoma displaying loss of chromosome 11q.

Authors:  L McArdle; M McDermott; R Purcell; D Grehan; A O'Meara; F Breatnach; D Catchpoole; A C Culhane; I Jeffery; W M Gallagher; R L Stallings
Journal:  Carcinogenesis       Date:  2004-04-16       Impact factor: 4.944

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  73 in total

Review 1.  New aspects of neuroblastoma treatment: ASPHO 2011 symposium review.

Authors:  Peter E Zage; Chrystal U Louis; Susan L Cohn
Journal:  Pediatr Blood Cancer       Date:  2012-02-29       Impact factor: 3.167

Review 2.  Neonatal tumours.

Authors:  Kokila Lakhoo; Helen Sowerbutts
Journal:  Pediatr Surg Int       Date:  2010-10-19       Impact factor: 1.827

3.  Predicting neuroblastoma using developmental signals and a logic-based model.

Authors:  Jennifer C Kasemeier-Kulesa; Santiago Schnell; Thomas Woolley; Jennifer A Spengler; Jason A Morrison; Mary C McKinney; Irina Pushel; Lauren A Wolfe; Paul M Kulesa
Journal:  Biophys Chem       Date:  2018-04-30       Impact factor: 2.352

4.  Design of a multi-signature ensemble classifier predicting neuroblastoma patients' outcome.

Authors:  Andrea Cornero; Massimo Acquaviva; Paolo Fardin; Rogier Versteeg; Alexander Schramm; Alessandra Eva; Maria Carla Bosco; Fabiola Blengio; Sara Barzaghi; Luigi Varesio
Journal:  BMC Bioinformatics       Date:  2012-03-28       Impact factor: 3.169

5.  Racial and ethnic disparities in risk and survival in children with neuroblastoma: a Children's Oncology Group study.

Authors:  Tara O Henderson; Smita Bhatia; Navin Pinto; Wendy B London; Patrick McGrady; Catherine Crotty; Can-Lan Sun; Susan L Cohn
Journal:  J Clin Oncol       Date:  2010-11-22       Impact factor: 44.544

6.  Validation of a prognostic multi-gene signature in high-risk neuroblastoma using the high throughput digital NanoString nCounter™ system.

Authors:  Thomas P Stricker; Andres Morales La Madrid; Alexandre Chlenski; Lisa Guerrero; Helen R Salwen; Yasmin Gosiengfiao; Elizabeth J Perlman; Wayne Furman; Armita Bahrami; Jason M Shohet; Peter E Zage; M John Hicks; Hiroyuki Shimada; Rie Suganuma; Julie R Park; Sara So; Wendy B London; Peter Pytel; Kirsteen H Maclean; Susan L Cohn
Journal:  Mol Oncol       Date:  2014-01-31       Impact factor: 6.603

7.  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

8.  Global MYCN transcription factor binding analysis in neuroblastoma reveals association with distinct E-box motifs and regions of DNA hypermethylation.

Authors:  Derek M Murphy; Patrick G Buckley; Kenneth Bryan; Sudipto Das; Leah Alcock; Niamh H Foley; Suzanne Prenter; Isabella Bray; Karen M Watters; Desmond Higgins; Raymond L Stallings
Journal:  PLoS One       Date:  2009-12-04       Impact factor: 3.240

9.  RNA pre-amplification enables large-scale RT-qPCR gene-expression studies on limiting sample amounts.

Authors:  Joëlle Vermeulen; Stefaan Derveaux; Steve Lefever; Els De Smet; Katleen De Preter; Nurten Yigit; Anne De Paepe; Filip Pattyn; Frank Speleman; Jo Vandesompele
Journal:  BMC Res Notes       Date:  2009-11-25

10.  The emerging molecular pathogenesis of neuroblastoma: implications for improved risk assessment and targeted therapy.

Authors:  Nadine Van Roy; Katleen De Preter; Jasmien Hoebeeck; Tom Van Maerken; Filip Pattyn; Pieter Mestdagh; Joëlle Vermeulen; Jo Vandesompele; Frank Speleman
Journal:  Genome Med       Date:  2009-07-27       Impact factor: 11.117

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