Evidence map›Paper›PMID 25891015›Full record

ArticleNature communications2015

Epigenomic evolution in diffuse large B-cell lymphomas.

Heng Pan, Yanwen Jiang, Michela Boi, Fabrizio Tabbò, David Redmond, Kui Nie, Marco Ladetto, Annalisa Chiappella, Leandro Cerchietti, Rita Shaknovich and 4 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed
10.0field-weighted citation impact, top 1% 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

85 citing papers in PubMed, 126 citations in OpenAlex.

  1. Trial
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  15. Epigenetics and environmental health.Frontiers of medicine · 2024
    Review
  16. Review
  17. Article
  18. Reuniting philosophy and science to advance cancer research.Biological reviews of the Cambridge Philosophical Society · 2023
    Article
  19. Article
  20. Article

25 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

14 authors at 3 institutions in 2 countries.

Heng Pan1] Institute for Computational Biomedicine, Department of Physiology and Biophysics, Weill Cornell Medical College, 1300 York Avenue, New York, New York 10021, USA [2] Institute for Precision Medicine, Weill Cornell Medical College, 1300 York Avenue, New York, New York 10021, USA.
Yanwen Jiang1] Institute for Computational Biomedicine, Department of Physiology and Biophysics, Weill Cornell Medical College, 1300 York Avenue, New York, New York 10021, USA [2] Institute for Precision Medicine, Weill Cornell Medical College, 1300 York Avenue, New York, New York 10021, USA [3] Hematology/Oncology Division, Department of Medicine, Weill Cornell Medical College, 1300 York Avenue, New York, New York 10021, USA.
Michela Boi1] Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, 1300 York Avenue, New York, NY 10021, USA [2] Department of Molecular Biotechnology and Health Science and Center for Experimental Research and Medical Studies (CeRMS), University of Torino, Torino 10126, Italy.
Fabrizio Tabbò1] Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, 1300 York Avenue, New York, NY 10021, USA [2] Department of Molecular Biotechnology and Health Science and Center for Experimental Research and Medical Studies (CeRMS), University of Torino, Torino 10126, Italy.
David Redmond1] Institute for Computational Biomedicine, Department of Physiology and Biophysics, Weill Cornell Medical College, 1300 York Avenue, New York, New York 10021, USA [2] Institute for Precision Medicine, Weill Cornell Medical College, 1300 York Avenue, New York, New York 10021, USA.
Kui NieDepartment of Pathology and Laboratory Medicine, Weill Cornell Medical College, 1300 York Avenue, New York, NY 10021, USA.
Marco LadettoDivisione di Ematologia, Azienda Ospedaliera Santi Antonio e Biagio e Cesare Arrigo, Alessandria 10126, Italy.
Annalisa ChiappellaDivision of Hematology, Azienda Ospedaliero Universitaria Città della Salute e della Scienza di Torino, Turin 10126, Italy.
Leandro CerchiettiHematology/Oncology Division, Department of Medicine, Weill Cornell Medical College, 1300 York Avenue, New York, New York 10021, USA.
Rita ShaknovichHematology/Oncology Division, Department of Medicine, Weill Cornell Medical College, 1300 York Avenue, New York, New York 10021, USA.
Ari M Melnick1] Institute for Computational Biomedicine, Department of Physiology and Biophysics, Weill Cornell Medical College, 1300 York Avenue, New York, New York 10021, USA [2] Hematology/Oncology Division, Department of Medicine, Weill Cornell Medical College, 1300 York Avenue, New York, New York 10021, USA.
Giorgio G Inghirami1] Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, 1300 York Avenue, New York, NY 10021, USA [2] Department of Molecular Biotechnology and Health Science and Center for Experimental Research and Medical Studies (CeRMS), University of Torino, Torino 10126, Italy.
Wayne TamDepartment of Pathology and Laboratory Medicine, Weill Cornell Medical College, 1300 York Avenue, New York, NY 10021, USA.
Olivier Elemento1] Institute for Computational Biomedicine, Department of Physiology and Biophysics, Weill Cornell Medical College, 1300 York Avenue, New York, New York 10021, USA [2] Institute for Precision Medicine, Weill Cornell Medical College, 1300 York Avenue, New York, New York 10021, USA.
Cornell University · USAzienda Ospedaliera Citta' della Salute e della Scienza di Torino · ITAzienda Ospedaliera Nazionale SS. Antonio e Biagio e Cesare Arrigo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The contribution of epigenomic alterations to tumour progression and relapse is not well characterized. Here we characterize an association between disease progression and DNA methylation in diffuse large B-cell lymphoma (DLBCL). By profiling genome-wide DNA methylation at single-base pair resolution in thirteen DLBCL diagnosis-relapse sample pairs, we show that DLBCL patients exhibit heterogeneous evolution of tumour methylomes during relapse. We identify differentially methylated regulatory elements and determine a relapse-associated methylation signature converging on key pathways such as transforming growth factor-β (TGF-β) receptor activity. We also observe decreased intra-tumour methylation heterogeneity from diagnosis to relapsed tumour samples. Relapse-free patients display lower intra-tumour methylation heterogeneity at diagnosis compared with relapsed patients in an independent validation cohort. Furthermore, intra-tumour methylation heterogeneity is predictive of time to relapse. Therefore, we propose that epigenomic heterogeneity may support or drive the relapse phenotype and can be used to predict DLBCL relapse.

Indexed as

Biological EvolutionEpigenomicsDNA MethylationGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansLymphoma, Large B-Cell, DiffuseNeoplasm ProteinsRecurrenceTranscriptomeNeoplasm Proteins

Identifiers

PMID25891015
PMCPMC4411286
OpenAlexW2056677678

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.