Evidence map›Paper›PMID 22090452›Full record

ArticleNeuro-oncology2012

Prognostic classification of pediatric medulloblastoma based on chromosome 17p loss, expression of MYCC and MYCN, and Wnt pathway activation.

Ae Kyung Park, Seung-Jun Lee, Ji Hoon Phi, Kyu-Chang Wang, Dong Gyu Kim, Byung-Kyu Cho, Christine Haberler, Sarah Fattet, Christelle Dufour, Stéphanie Puget and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Neuro-oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Machine learning-based models for prediction of survival in medulloblastoma: a systematic review and meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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  5. The Prognostic Value of Amplification of theDiseases (Basel, Switzerland) · 2025
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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

16 authors at 8 institutions in 4 countries.

Ae Kyung ParkCollege of Pharmacy, Sunchon National University, Korea.
Seung-Jun Lee
Ji Hoon Phi
Kyu-Chang Wang
Dong Gyu Kim
Byung-Kyu Cho
Christine Haberler
Sarah Fattet
Christelle Dufour
Stéphanie Puget
Christian Sainte-Rose
Franck Bourdeaut
Jacques Grill
Olivier Delattre
Seung-Ki Kim
Woong-Yang Park
Medical University of Vienna · ATSunchon National University · KRInstitut Gustave Roussy · FRSeoul National University · KRUniversity Hospital of Lausanne · CHHôpital Necker-Enfants Malades · FRInje University Ilsan Paik Hospital · KRInstitut Curie · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pediatric medulloblastoma is considered a highly heterogeneous disease and a new strategy of risk stratification to optimize therapeutic outcomes is required. We aimed to investigate a new risk-stratification approach based on expression profiles of medulloblastoma cohorts. We analyzed gene expression profiles of 30 primary medulloblastomas and detected strong evidence that poor survival outcome was significantly associated with mRNA expression profiles of 17p loss. However, it was not supported in independent cohorts from previously published data (n = 100). We speculated that this discrepancy might come from complex conditions of two important prognostic determinants: loss of tumor suppressors (chromosome 17p) and high expression of oncogenes c-myc (MYCC) or N-myc (MYCN). When patients were stratified into 5 or 7 subgroups based on simultaneous consideration of these 2 factors while defining the Wnt group as independent, obviously different survival expectancies were detected between the subgroups. For instance, predicted 5-year survival probabilities ranged from 19% to 81% in the 5 subgroups. We also found that age became a significant prognostic marker after adjusting for 17p, MYCC, and MYCN status. Diminished survival in age <3 years was more substantial in subgroups with high expression of MYCC, MYCN, or 17p loss but not in other subgroups, indicating that poor survival outcome might be synergistically affected by these 3 factors. Here we suggest a more tailored subgrouping system based on expression profiles of chromosome 17p, MYCC, and MYCN, which could provide the basis for a novel risk-stratification strategy in pediatric medulloblastoma.

Indexed as

Biomarkers, TumorCerebellar NeoplasmsChildChild, PreschoolChromosome DeletionChromosomes, Human, Pair 17FemaleGene Expression ProfilingGenes, mycHumansInfantMaleMedulloblastomaN-Myc Proto-Oncogene ProteinNuclear ProteinsOncogene ProteinsBiomarkers, TumorMYCN protein, humanN-Myc Proto-Oncogene ProteinNuclear ProteinsOncogene ProteinsProto-Oncogene Proteins c-myc

Identifiers

PMID22090452
PMCPMC3266382
OpenAlexW2099696802

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.