Evidence map›Paper›PMID 24345474›Full record

ArticleGenome biology2013

Integrative DNA methylation and gene expression analysis in high-grade soft tissue sarcomas.

Marcus Renner, Thomas Wolf, Hannah Meyer, Wolfgang Hartmann, Roland Penzel, Alexis Ulrich, Burkhard Lehner, Volker Hovestadt, Esteban Czwan, Gerlinde Egerer and 11 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
6.2field-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

50 citing papers in PubMed, 110 citations in OpenAlex.

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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

21 authors at 4 institutions in 1 country.

Marcus Renner
Thomas Wolf
Hannah Meyer
Wolfgang Hartmann
Roland Penzel
Alexis Ulrich
Burkhard Lehner
Volker Hovestadt
Esteban Czwan
Gerlinde Egerer
Thomas Schmitt
Ingo Alldinger
Eva Kristin Renker
Volker Ehemann
Roland Eils
Eva Wardelmann
Reinhard Büttner
Peter Lichter
Benedikt Brors
Peter Schirmacher
Gunhild Mechtersheimer
Heidelberg University · DEUniversity Hospital Heidelberg · DEGerman Cancer Research Center · DEUniversity Hospital Cologne · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh-grade soft tissue sarcomas are a heterogeneous, complex group of aggressive malignant tumors showing mesenchymal differentiation. Recently, soft tissue sarcomas have increasingly been classified on the basis of underlying genetic alterations; however, the role of aberrant DNA methylation in these tumors is not well understood and, consequently, the usefulness of methylation-based classification is unclear.

resultsWe used the Infinium HumanMethylation27 platform to profile DNA methylation in 80 primary, untreated high-grade soft tissue sarcomas, representing eight relevant subtypes, two non-neoplastic fat samples and 14 representative sarcoma cell lines. The primary samples were partitioned into seven stable clusters. A classification algorithm identified 216 CpG sites, mapping to 246 genes, showing different degrees of DNA methylation between these seven groups. The differences between the clusters were best represented by a set of eight CpG sites located in the genes SPEG, NNAT, FBLN2, PYROXD2, ZNF217, COL14A1, DMRT2 and CDKN2A. By integrating DNA methylation and mRNA expression data, we identified 27 genes showing negative and three genes showing positive correlation. Compared with non-neoplastic fat, NNAT showed DNA hypomethylation and inverse gene expression in myxoid liposarcomas, and DNA hypermethylation and inverse gene expression in dedifferentiated and pleomorphic liposarcomas. Recovery of NNAT in a hypermethylated myxoid liposarcoma cell line decreased cell migration and viability.

conclusionsOur analysis represents the first comprehensive integration of DNA methylation and transcriptional data in primary high-grade soft tissue sarcomas. We propose novel biomarkers and genes relevant for pathogenesis, including NNAT as a potential tumor suppressor in myxoid liposarcomas.

Indexed as

DNA MethylationAlgorithmsCell Line, TumorComputational BiologyCpG IslandsGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLiposarcoma, MyxoidMembrane ProteinsMolecular Sequence DataNerve Tissue ProteinsSarcomaMembrane ProteinsNerve Tissue ProteinsNNAT protein, human

Identifiers

PMID24345474
PMCPMC4054884
OpenAlexW2101262547

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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.