Evidence map›Paper›PMID 24385541›Full record

ArticleBlood2014

Variability in DNA methylation defines novel epigenetic subgroups of DLBCL associated with different clinical outcomes.

Nyasha Chambwe, Matthias Kormaksson, Huimin Geng, Subhajyoti De, Franziska Michor, Nathalie A Johnson, Ryan D Morin, David W Scott, Lucy A Godley, Randy D Gascoyne and 3 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Blood, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

69 citing papers in PubMed, 108 citations in OpenAlex.

  1. Article
  2. Article
  3. Computational modelling of aggressive B-cell lymphoma.Biochemical Society transactions · 2025
    Review
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  18. Epialleles and epiallelic heterogeneity in hematological malignancies.Medical oncology (Northwood, London, England) · 2022
    Review
  19. Article
  20. Review

9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 11 institutions in 3 countries.

Nyasha ChambweThe HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine.
Matthias Kormaksson
Huimin Geng
Subhajyoti De
Franziska Michor
Nathalie A Johnson
Ryan D Morin
David W Scott
Lucy A Godley
Randy D Gascoyne
Ari Melnick
Fabien Campagne
Rita Shaknovich
Palmetto Hematology Oncology · USBC Cancer Agency · CACanada's Michael Smith Genome Sciences Centre · CAColorado School of Public Health · USComputational Physics (United States) · USDana-Farber Cancer Institute · USIBM Research - Brazil · BRJewish General Hospital · CAUniversity of British Columbia · CAUniversity of California, San Francisco · USUniversity of Chicago · US

Funding

The Cell-Of-Origin of Human CancersU54CA143798 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI MICHOR, FRANZISKA · 2009 to 2014
$11.2M
Epigenetic Mechanisms of Lymphomagenesis.K08CA127353 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI SHAKNOVICH, RITA · 2008 to 2012
$693k
NCI NIH HHS K08 CA127353NCI NIH HHS U54 CA143798NCI NIH HHS U54CA143798
6 · The paper itself

Abstract

Diffuse large B-cell lymphoma (DLBCL) is the most common aggressive form of non-Hodgkin lymphoma with variable biology and clinical behavior. The current classification does not fully explain the biological and clinical heterogeneity of DLBCLs. In this study, we carried out genomewide DNA methylation profiling of 140 DLBCL samples and 10 normal germinal center B cells using the HpaII tiny fragment enrichment by ligation-mediated polymerase chain reaction assay and hybridization to a custom Roche NimbleGen promoter array. We defined methylation disruption as a main epigenetic event in DLBCLs and designed a method for measuring the methylation variability of individual cases. We then used a novel approach for unsupervised hierarchical clustering based on the extent of DNA methylation variability. This approach identified 6 clusters (A-F). The extent of methylation variability was associated with survival outcomes, with significant differences in overall and progression-free survival. The novel clusters are characterized by disruption of specific biological pathways such as cytokine-mediated signaling, ephrin signaling, and pathways associated with apoptosis and cell-cycle regulation. In a subset of patients, we profiled gene expression and genomic variation to investigate their interplay with methylation changes. This study is the first to identify novel epigenetic clusters of DLBCLs and their aberrantly methylated genes, molecular associations, and survival.

Indexed as

Epigenesis, GeneticGene Expression Regulation, NeoplasticCase-Control StudiesCells, CulturedDNA MethylationFollow-Up StudiesGenetic VariationHumansLymphoma, Large B-Cell, DiffuseNeoplasm ProteinsPrognosisSurvival RateNeoplasm Proteins

Identifiers

PMID24385541
PMCPMC3954051
OpenAlexW2017735587

What OpenQuestion holds

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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.