Evidence map›Paper›PMID 24223701›Full record

ArticlePloS one2013

Massive transcriptional perturbation in subgroups of diffuse large B-cell lymphomas.

Maciej Rosolowski, Jürgen Läuter, Dmitriy Abramov, Hans G Drexler, Michael Hummel, Wolfram Klapper, Roderick A F Macleod, Shoji Pellissery, Friedemann Horn, Reiner Siebert and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. TCF3 and ID3 Regulate TSPAN32 Expression in Burkitt Lymphoma.Scandinavian journal of immunology · 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

11 authors at 6 institutions in 3 countries.

Maciej RosolowskiInstitute of Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany.
Jürgen Läuter
Dmitriy Abramov
Hans G Drexler
Michael Hummel
Wolfram Klapper
Roderick A F Macleod
Shoji Pellissery
Friedemann Horn
Reiner Siebert
Markus Loeffler
Leipzig University · DEKiel University · DELeibniz Institute DSMZ – German Collection of Microorganisms and Cell Cultures · DECharité - Universitätsmedizin Berlin · DEFederal Medical-Biological Agency · RUUniversity of Lübeck · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on the assumption that molecular mechanisms involved in cancerogenesis are characterized by groups of coordinately expressed genes, we developed and validated a novel method for analyzing transcriptional data called Correlated Gene Set Analysis (CGSA). Using 50 extracted gene sets we identified three different profiles of tumors in a cohort of 364 Diffuse large B-cell (DLBCL) and related mature aggressive B-cell lymphomas other than Burkitt lymphoma. The first profile had high level of expression of genes related to proliferation whereas the second profile exhibited a stromal and immune response phenotype. These two profiles were characterized by a large scale gene activation affecting genes which were recently shown to be epigenetically regulated, and which were enriched in oxidative phosphorylation, energy metabolism and nucleoside biosynthesis. The third and novel profile showed only low global gene activation similar to that found in normal B cells but not cell lines. Our study indicates novel levels of complexity of DLBCL with low or high large scale gene activation related to metabolism and biosynthesis and, within the group of highly activated DLBCLs, differential behavior leading to either a proliferative or a stromal and immune response phenotype.

Indexed as

TranscriptomeCell Line, TumorEpigenesis, GeneticGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLymphoma, Large B-Cell, DiffuseOligonucleotide Array Sequence AnalysisPhenotypeSurvival AnalysisTranscriptional ActivationUp-Regulation

Identifiers

PMID24223701
PMCPMC3817189
OpenAlexW2035467137

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.