Evidence map›Paper›PMID 27188717›Full record

ArticleJournal of translational medicine2016

An 18 gene expression-based score classifier predicts the clinical outcome in stage 4 neuroblastoma.

Daniela Formicola, Giuseppe Petrosino, Vito Alessandro Lasorsa, Piero Pignataro, Flora Cimmino, Simona Vetrella, Luca Longo, Gian Paolo Tonini, André Oberthuer, Achille Iolascon and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.6field-weighted citation impact, top 7% of its field
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

30 citing papers in PubMed, 50 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 7 institutions in 2 countries.

Daniela FormicolaDipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli Federico II, 80145, Naples, Italy.
Giuseppe PetrosinoDipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli Federico II, 80145, Naples, Italy.
Vito Alessandro LasorsaDipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli Federico II, 80145, Naples, Italy.
Piero PignataroDipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli Federico II, 80145, Naples, Italy.
Flora CimminoDipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli Federico II, 80145, Naples, Italy.
Simona VetrellaDepartment of Oncology, Santobono-Pausilipon Children's Hospital, Naples, Italy.
Luca LongoU.O.C. Bioterapie, IRCCS AOU San Martino-IST, National Cancer Research Institute, Genoa, Italy.
Gian Paolo ToniniLaboratory of Neuroblastoma, Onco/Hematology Department SDB University of Padua, Pediatric Research Institute, Padua, Italy.
André OberthuerDepartment of Pediatric Oncology and Hematology, and Center for Molecular Medicine Cologne (CMMC), University of Cologne Children's Hospital, Cologne, Germany.
Achille IolasconDipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli Federico II, 80145, Naples, Italy.
Matthias FischerDepartment of Pediatric Oncology and Hematology, and Center for Molecular Medicine Cologne (CMMC), University of Cologne Children's Hospital, Cologne, Germany.
Mario CapassoDipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli Federico II, 80145, Naples, Italy. mario.capasso@unina.it.
Ceinge Biotecnologie Avanzate (Italy) · ITUniversity of Naples Federico II · ITMax Planck Institute for Metabolism Research · DEOspedale Policlinico San Martino · ITSantobono Children's Hospital · ITUniversity of Cologne · DEUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prognosis of children with metastatic stage 4 neuroblastoma (NB) has remained poor in the past decade. PATIENTS AND

methodsUsing microarray analyses of 342 primary tumors, we here developed and validated an easy to use gene expression-based risk score including 18 genes, which can robustly predict the outcome of stage 4 patients.

resultsThis classifier was a significant predictor of overall survival in two independent validation cohorts [cohort 1 (n = 214): P = 6.3 × 10(-5); cohort 2 (n = 27): P = 3.1 × 10(-2)]. The prognostic value of the risk score was validated by multivariate analysis including the established markers age and MYCN status (P = 0.027). In the pooled validation cohorts (n = 241), integration of the risk score with the age and/or MYCN status identified subgroups with significantly differing overall survival (ranging from 35 to 100 %).

conclusionTogether, the 18-gene risk score classifier can identify patients with stage 4 NB with favorable outcome and may therefore improve risk assessment and treatment stratification of NB patients with disseminated disease.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticChild, PreschoolFemaleGene OntologyGene Regulatory NetworksHumansKaplan-Meier EstimateMaleMultivariate AnalysisNeuroblastomaPrognosisProportional Hazards ModelsRegression AnalysisReproducibility of ResultsTreatment OutcomeMicroarrayNeuroblastomaPrognosisRisk score

Identifiers

PMID27188717
PMCPMC4870777
OpenAlexW2407465411

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.