Evidence map›Paper›PMID 19515614›Full record

ArticleThe Lancet. Oncology2009

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

Joëlle Vermeulen, Katleen De Preter, Arlene Naranjo, Liesbeth Vercruysse, Nadine Van Roy, Jan Hellemans, Katrien Swerts, Sophie Bravo, Paola Scaruffi, Gian Paolo Tonini and 26 more

Abstract readValidation Study
In one paragraph

Article in The Lancet. Oncology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

100 citing papers in PubMed.

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40 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

36 authors.

Joëlle VermeulenCenter for Medical Genetics, Ghent University Hospital, Ghent, Belgium.
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

Funding

COG FOREIGN ACCRUALU10CA098543 · NCI · NATIONAL CHILDHOOD CANCER FOUNDATION · PI ADAMSON, PETER C. · 2003 to 2013
$335.5M
Children's Oncology Group Statistics &Data Center GrantU10CA098413 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI ANDERSON, JAMES R · 2003 to 2013
$67.5M
Support for Human Specimen Banking in NCI-Supported Cancer Clinical TrialsU24CA114766 · NCI · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI RAMIREZ MILAN, NILSA DEL CARMEN · 2005 to 2014
$14.5M
NCI NIH HHS U10 CA098413NCI NIH HHS U10 CA098543NCI NIH HHS U24 CA114766
6 · The paper itself

Abstract

backgroundMore 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.

methods59 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.

findingsThe 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).

interpretationThe 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.

fundingThe 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.

Indexed as

Gene Expression ProfilingBiomarkers, TumorCase-Control StudiesFollow-Up StudiesHumansInfantLogistic ModelsMultivariate AnalysisNeuroblastomaPrognosisReproducibility of ResultsSensitivity and SpecificitySurvival AnalysisBiomarkers, Tumor

Identifiers

PMID19515614
PMCPMC3045079

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.