Evidence map›Paper›PMID 19587707›Full record

ArticleLeukemia2009

Array-based DNA methylation profiling in follicular lymphoma.

C O'Riain, D M O'Shea, Y Yang, R Le Dieu, J G Gribben, K Summers, J Yeboah-Afari, L Bhaw-Rosun, C Fleischmann, C A Mein and 17 more

Open access · bronzeAbstract read
In one paragraph

Article in Leukemia, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
5.2field-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

38 citing papers in PubMed, 80 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

27 authors at 9 institutions in 5 countries.

C O'RiainCentre for Medical Oncology, Barts and the London School of Medicine and Dentistry, Institute of Cancer, London EC1M 6BQ, UK. c.l.oriain@qmul.ac.uk
D M O'Shea
Y Yang
R Le Dieu
J G Gribben
K Summers
J Yeboah-Afari
L Bhaw-Rosun
C Fleischmann
C A Mein
T Crook
P Smith
G Kelly
A Rosenwald
G Ott
E Campo
L M Rimsza
E B Smeland
W C Chan
N Johnson
R D Gascoyne
S Reimer
R M Braziel
G W Wright
L M Staudt
T A Lister
J Fitzgibbon
Queen Mary University of London · GBCancer Research UK · GBNational Cancer Institute · USOregon Health & Science University · USUniversity of Würzburg · DEOslo University Hospital · NOUniversitat de Barcelona · ESUniversity of Arizona · USUniversity of Nebraska Medical Center · US

Funding

Molecular diagnosis and outcome prediction in lymphomaZIABC011006 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI STAUDT, LOUIS · 2009 to 2025
$21.0M
Molecular Signatures to Improve Diagnosis and Outcome PrU01CA114778 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI CHAN, WING C. · 2005 to 2009
$8.7M
Cancer Research UK A8314Cancer Research UK A9424Cancer Research UK MONG1E9RMedical Research CouncilNCI NIH HHS 5 U01 CA114778NCI NIH HHS U01 CA114778
6 · The paper itself

Abstract

Quantitative methylation profiling was performed using the Illumina GoldenGate Assay in untreated follicular lymphoma (FL) (164), paired pre- and post-transformation FL (20), benign haematopoietic (24) samples and purified B and T cells from two FL cases. Methylation values allowed separation of untreated FL samples from controls with one exception, based primarily on tumour-specific gains of methylation typically occurring within CpG islands. Genes that are targets for epigenetic repression in stem cells by Polycomb Repressor Complex 2 were significantly over-represented among hypermethylated genes. Methylation profiles were conserved in sequential FL and t-FL biopsies, suggesting that widespread methylation represents an early event in lymphomagenesis and may not contribute substantially to transformation. A significant (P<0.05) correlation between FL methylation values and reduced gene expression was shown for up to 28% of loci. Methylation changes occurred predominantly in B cells with variability in the amount of non-malignant tissue between samples preventing conclusive correlation with survival. This represents an important caveat in attributing prognostic relevance to methylation and future studies in cancer will optimally require purified tumour populations to address the impact of methylation on clinical outcome.

Indexed as

DNA MethylationGene Expression ProfilingOligonucleotide Array Sequence AnalysisAdolescentAdultAgedAged, 80 and overChildChild, PreschoolCpG IslandsEpigenesis, GeneticGene Expression Regulation, NeoplasticHumansLymph NodesLymphoma, FollicularMiddle Aged

Identifiers

PMID19587707
PMCPMC2762475
OpenAlexW1979187574

What OpenQuestion holds

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LicenceTDM
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.