Evidence map›Paper›PMID 23047593›Full record

ArticleBritish journal of cancer2012

Exon-level expression analyses identify MYCN and NTRK1 as major determinants of alternative exon usage and robustly predict primary neuroblastoma outcome.

A Schramm, B Schowe, K Fielitz, M Heilmann, M Martin, T Marschall, J Köster, J Vandesompele, J Vermeulen, K de Preter and 8 more

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

23 citing papers in PubMed, 30 citations in OpenAlex.

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  10. [A comprehensive analysis of potential prognostic biomarkers for MYCN-amplified neuroblastoma].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2020
    Article
  11. Article
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  13. Review
  14. The oncogenic neurotrophin receptor tropomyosin-related kinase variant, TrkAIII.Journal of experimental & clinical cancer research : CR · 2018
    Review
  15. Article
  16. Article
  17. Neurotrophin signaling in cancer stem cells.Cellular and molecular life sciences : CMLS · 2016
    Review
  18. Article
  19. Article
  20. Article
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

18 authors at 5 institutions in 4 countries.

A SchrammUniversity Hospital Essen, Childrens Hospital, Department of Hematology/Oncology, Germany. alexander.schramm@uni-due.de
B Schowe
K Fielitz
M Heilmann
M Martin
T Marschall
J Köster
J Vandesompele
J Vermeulen
K de Preter
J Koster
R Versteeg
R Noguera
F Speleman
S Rahmann
A Eggert
K Morik
J H Schulte
Essen University Hospital · DETU Dortmund University · DEGhent University Hospital · BEAmsterdam UMC Location University of Amsterdam · NLUniversitat de València · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUsing mRNA expression-derived signatures as predictors of individual patient outcome has been a goal ever since the introduction of microarrays. Here, we addressed whether analyses of tumour mRNA at the exon level can improve on the predictive power and classification accuracy of gene-based expression profiles using neuroblastoma as a model.

methodsIn a patient cohort comprising 113 primary neuroblastoma specimens expression profiling using exon-level analyses was performed to define predictive signatures using various machine-learning techniques. Alternative transcript use was calculated from relative exon expression. Validation of alternative transcripts was achieved using qPCR- and cell-based approaches.

resultsBoth predictors derived from the gene or the exon levels resulted in prediction accuracies >80% for both event-free and overall survival and proved as independent prognostic markers in multivariate analyses. Alternative transcript use was most prominently linked to the amplification status of the MYCN oncogene, expression of the TrkA/NTRK1 neurotrophin receptor and survival.

conclusionAs exon level-based prediction yields comparable, but not significantly better, prediction accuracy than gene expression-based predictors, gene-based assays seem to be sufficiently precise for predicting outcome of neuroblastoma patients. However, exon-level analyses provide added knowledge by identifying alternative transcript use, which should deepen the understanding of neuroblastoma biology.

Indexed as

Cell Line, TumorChild, PreschoolExonsGene Expression ProfilingHumansInfantNeuroblastomaN-Myc Proto-Oncogene ProteinNuclear ProteinsOncogene ProteinsPrognosisReceptor, trkARisk FactorsRNA, MessengerSurvival AnalysisMYCN protein, humanN-Myc Proto-Oncogene ProteinNuclear ProteinsOncogene ProteinsReceptor, trkARNA, Messenger

Identifiers

PMID23047593
PMCPMC3494449
OpenAlexW2103116338

What OpenQuestion holds

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Registered trials

None linked

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.