Evidence map›Paper›PMID 16968546›Full record

ArticleBMC cancer2006

Medulloblastoma outcome is adversely associated with overexpression of EEF1D, RPL30, and RPS20 on the long arm of chromosome 8.

Massimiliano De Bortoli, Robert C Castellino, Xin-Yan Lu, Jeffrey Deyo, Lisa Marie Sturla, Adekunle M Adesina, Laszlo Perlaky, Scott L Pomeroy, Ching C Lau, Tsz-Kwong Man and 2 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC cancer, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

39 citing papers in PubMed, 82 citations in OpenAlex.

  1. Trial
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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 5 institutions in 1 country.

Massimiliano De BortoliTexas Children's Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA. mxdebort@txccc.org
Robert C Castellino
Xin-Yan Lu
Jeffrey Deyo
Lisa Marie Sturla
Adekunle M Adesina
Laszlo Perlaky
Scott L Pomeroy
Ching C Lau
Tsz-Kwong Man
Pulivarthi H Rao
John Y H Kim
Baylor College of Medicine · USChildren's Cancer Center · USBoston Children's Hospital · USSt. Jude Children's Research Hospital · USVirginia Commonwealth University · US

Funding

GENOMIC ANALYSIS OF MEDULLOBLASTOMASR01CA109467 · NCI · CHILDREN'S HOSPITAL BOSTON · PI MESIROV, JILL P., POMEROY, SCOTT LOREN · 2004 to 2015
$7.3M
Baylor CHRC: Pediatrics Mentored Research ProgramK12HD041648 · NICHD · BAYLOR COLLEGE OF MEDICINE · PI KLINE, MARK · 2002 to 2011
$4.2M
Genomic-wide Kinase Sequencing of Pediatric Brain TumorsR01CA105607 · NCI · DANA-FARBER CANCER INSTITUTE · PI ROBERTS, THOMAS M · 2004 to 2008
$3.4M
Baylor Research Training Program for PediatriciansT32HD042977 · NICHD · BAYLOR COLLEGE OF MEDICINE · PI FEIGIN, RALPH DAVID · 2003 to 2007
$1.1M
TRKC-INDUCED APOPTOSIS IN PTC+/- MOUSE MEDULLOBLASTOMAK08NS043517 · NINDS · DANA-FARBER CANCER INSTITUTE · PI KIM, JOHN Y · 2001 to 2005
$635k
NCI NIH HHS CA105607NCI NIH HHS CA109467NCI NIH HHS R01 CA105607NCI NIH HHS R01 CA109467NICHD NIH HHS HD041648NICHD NIH HHS HD042977NICHD NIH HHS K12 HD041648NICHD NIH HHS T32 HD042977NINDS NIH HHS K08 NS043517NINDS NIH HHS NS043517
6 · The paper itself

Abstract

backgroundMedulloblastoma is the most common malignant brain tumor of childhood. Improvements in clinical outcome require a better understanding of the genetic alterations to identify clinically significant biological factors and to stratify patients accordingly. In the present study, we applied cytogenetic characterization to guide the identification of biologically significant genes from gene expression microarray profiles of medulloblastoma.

methodsWe analyzed 71 primary medulloblastomas for chromosomal copy number aberrations (CNAs) using comparative genomic hybridization (CGH). Among 64 tumors that we previously analyzed by gene expression microarrays, 27 were included in our CGH series. We analyzed clinical outcome with respect to CNAs and microarray results. We filtered microarray data using specific CNAs to detect differentially expressed candidate genes associated with survival.

resultsThe most frequent lesions detected in our series involved chromosome 17; loss of 16q, 10q, or 8p; and gain of 7q or 2p. Recurrent amplifications at 2p23-p24, 2q14, 7q34, and 12p13 were also observed. Gain of 8q is associated with worse overall survival (p = 0.0141), which is not entirely attributable to MYC amplification or overexpression. By applying CGH results to gene expression analysis of medulloblastoma, we identified three 8q-mapped genes that are associated with overall survival in the larger group of 64 patients (p < 0.05): eukaryotic translation elongation factor 1D (EEF1D), ribosomal protein L30 (RPL30), and ribosomal protein S20 (RPS20).

conclusionThe complementary use of CGH and expression profiles can facilitate the identification of clinically significant candidate genes involved in medulloblastoma growth. We demonstrate that gain of 8q and expression levels of three 8q-mapped candidate genes (EEF1D, RPL30, RPS20) are associated with adverse outcome in medulloblastoma.

Indexed as

Chromosomes, Human, Pair 8AdolescentAdultChildChild, PreschoolChromosome AberrationsChromosomes, Human, Pair 2Gene AmplificationGene DosageGenes, mycGenes, NeoplasmHumansInfantMedulloblastomaOligonucleotide Array Sequence AnalysisPeptide Elongation Factor 1Peptide Elongation Factor 1ribosomal protein L30Ribosomal Proteinsribosomal protein S20

Identifiers

PMID16968546
PMCPMC1578584
OpenAlexW1868000512

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.