Evidence map›Paper›PMID 21098324›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2011

Integrative genomic analysis of medulloblastoma identifies a molecular subgroup that drives poor clinical outcome.

Yoon-Jae Cho, Aviad Tsherniak, Pablo Tamayo, Sandro Santagata, Azra Ligon, Heidi Greulich, Rameen Berhoukim, Vladimir Amani, Liliana Goumnerova, Charles G Eberhart and 10 more

Abstract read
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 414 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
414citing papers in PubMed, 2 pooled it
–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

414 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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

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

20 authors.

Yoon-Jae ChoChildren's Hospital Boston, Boston, MA 02115, USA.
Aviad Tsherniak
Pablo Tamayo
Sandro Santagata
Azra Ligon
Heidi Greulich
Rameen Berhoukim
Vladimir Amani
Liliana Goumnerova
Charles G Eberhart
Ching C Lau
James M Olson
Richard J Gilbertson
Amar Gajjar
Olivier Delattre
Marcel Kool
Keith Ligon
Matthew Meyerson
Jill P Mesirov
Scott L Pomeroy

Funding

SYNAPTIC MECHANISMS IN HIPPOCAMPAL EPILEPTOGENESISP30HD018655 · NICHD · CHILDREN'S HOSPITAL BOSTON · PI POMEROY, SCOTT LOREN · 1985 to 2015
$26.2M
Signatures of Kinase Activation in Cancer (MIT consortium)U54CA112962 · NCI · DANA-FARBER CANCER INSTITUTE · PI GOLUB, TODD R. · 2004 to 2014
$24.2M
GENOMIC ANALYSIS OF MEDULLOBLASTOMASR01CA109467 · NCI · CHILDREN'S HOSPITAL BOSTON · PI MESIROV, JILL P., POMEROY, SCOTT LOREN · 2004 to 2015
$7.3M
Supporting Integrative Genomic Analysis Users with GenePatternR01GM074024 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MESIROV, JILL P. · 2005 to 2019
$6.6M
Knowledge-based Gene Expression Analysis for Biomedical and Cancer ResearchR01CA121941 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MESIROV, JILL P. · 2006 to 2016
$5.1M
Notch signaling in brain tumorsR01NS055089 · NINDS · JOHNS HOPKINS UNIVERSITY · PI EBERHART, CHARLES G · 2007 to 2016
$3.2M
An Investigation of Radial Glia as the Source of Ependymoma Stem CellsR01CA129541 · NCI · UNIVERSITY OF CAMBRIDGE · PI GILBERTSON, RICHARD · 2007 to 2016
$3.0M
GenePattern: Methodologies and Software Tools.R33CA097556 · NCI · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI MESIROV, JILL P. · 2002 to 2004
$1.8M
NCI NIH HHS 6R01-CA-121941-04NCI NIH HHS P50-CA112962NCI NIH HHS R01 CA109467NCI NIH HHS R01 CA121941NCI NIH HHS R01 CA129541NCI NIH HHS R33 CA097556NCI NIH HHS R33-CA97556-01NCI NIH HHS U54 CA112962NICHD NIH HHS P30 HD018655NIGMS NIH HHS R01 GM074024NIGMS NIH HHS R01-GM074024NINDS NIH HHS R01 NS055089NINDS NIH HHS R01-NS055089PHS HHS R01-109467
6 · The paper itself

Abstract

purposeMedulloblastomas are heterogeneous tumors that collectively represent the most common malignant brain tumor in children. To understand the molecular characteristics underlying their heterogeneity and to identify whether such characteristics represent risk factors for patients with this disease, we performed an integrated genomic analysis of a large series of primary tumors. PATIENTS AND

methodsWe profiled the mRNA transcriptome of 194 medulloblastomas and performed high-density single nucleotide polymorphism array and miRNA analysis on 115 and 98 of these, respectively. Non-negative matrix factorization-based clustering of mRNA expression data was used to identify molecular subgroups of medulloblastoma; DNA copy number, miRNA profiles, and clinical outcomes were analyzed for each. We additionally validated our findings in three previously published independent medulloblastoma data sets.

resultsIdentified are six molecular subgroups of medulloblastoma, each with a unique combination of numerical and structural chromosomal aberrations that globally influence mRNA and miRNA expression. We reveal the relative contribution of each subgroup to clinical outcome as a whole and show that a previously unidentified molecular subgroup, characterized genetically by c-MYC copy number gains and transcriptionally by enrichment of photoreceptor pathways and increased miR-183∼96∼182 expression, is associated with significantly lower rates of event-free and overall survivals.

conclusionOur results detail the complex genomic heterogeneity of medulloblastomas and identify a previously unrecognized molecular subgroup with poor clinical outcome for which more effective therapeutic strategies should be developed.

Indexed as

AlgorithmsCerebellar NeoplasmsChildDNA-Binding ProteinsGene Expression Regulation, NeoplasticGenomicsHumansImmunohistochemistryIn Situ Hybridization, FluorescenceMedulloblastomaPolymorphism, Single NucleotidePredictive Value of TestsPrognosisRNA, NeoplasmTranscription FactorsDNA-Binding ProteinsMYCBP protein, humanRNA, NeoplasmTranscription Factors

Identifiers

PMID21098324
PMCPMC3082983

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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.