Evidence map›Paper›PMID 21314941›Full record

ArticleBMC cancer2011

Identification of epigenetically regulated genes that predict patient outcome in neuroblastoma.

Helena Carén, Anna Djos, Maria Nethander, Rose-Marie Sjöberg, Per Kogner, Camilla Enström, Staffan Nilsson, Tommy Martinsson

Open access · goldAbstract readValidation Study
In one paragraph

Article in BMC cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

44 citing papers in PubMed, 76 citations in OpenAlex.

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  8. International journal of general medicine · 2022
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  10. Neuroblastoma and the epigenome.Cancer metastasis reviews · 2021
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Helena CarénDepartment of Clinical Genetics, Institute of Biomedicine, University of Gothenburg, Sahlgrenska University Hospital, SE-41345 Gothenburg, Sweden. helena.caren@clingen.gu.se
Anna Djos
Maria Nethander
Rose-Marie Sjöberg
Per Kogner
Camilla Enström
Staffan Nilsson
Tommy Martinsson
Sahlgrenska University Hospital · SEUniversity of Gothenburg · SEChalmers University of Technology · SEKarolinska University Hospital · SEUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpigenetic mechanisms such as DNA methylation and histone modifications are important regulators of gene expression and are frequently involved in silencing tumor suppressor genes.

methodsIn order to identify genes that are epigenetically regulated in neuroblastoma tumors, we treated four neuroblastoma cell lines with the demethylating agent 5-Aza-2'-deoxycytidine (5-Aza-dC) either separately or in conjunction with the histone deacetylase inhibitor trichostatin A (TSA). Expression was analyzed using whole-genome expression arrays to identify genes activated by the treatment. These data were then combined with data from genome-wide DNA methylation arrays to identify candidate genes silenced in neuroblastoma due to DNA methylation.

resultsWe present eight genes (KRT19, PRKCDBP, SCNN1A, POU2F2, TGFBI, COL1A2, DHRS3 and DUSP23) that are methylated in neuroblastoma, most of them not previously reported as such, some of which also distinguish between biological subsets of neuroblastoma tumors. Differential methylation was observed for the genes SCNN1A (p < 0.001), PRKCDBP (p < 0.001) and KRT19 (p < 0.01). Among these, the mRNA expression of KRT19 and PRKCDBP was significantly lower in patients that have died from the disease compared with patients with no evidence of disease (fold change -8.3, p = 0.01 for KRT19 and fold change -2.4, p = 0.04 for PRKCDBP).

conclusionsIn our study, a low methylation frequency of SCNN1A, PRKCDBP and KRT19 is significantly associated with favorable outcome in neuroblastoma. It is likely that analysis of specific DNA methylation will be one of several methods in future patient therapy stratification protocols for treatment of childhood neuroblastomas.

Indexed as

AlgorithmsBiomarkers, TumorBrain NeoplasmsCell Line, TumorDNA MethylationEpigenesis, GeneticGene Expression ProfilingGenes, NeoplasmGenes, Tumor SuppressorGenetic Association StudiesHumansMicroarray AnalysisNeuroblastomaPrognosisReverse Transcriptase Polymerase Chain ReactionBiomarkers, Tumor

Identifiers

PMID21314941
PMCPMC3045360
OpenAlexW2122906783

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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.