Evidence map›Paper›PMID 21169070›Full record

ArticleMolecular oncology2011

DNA methylation patterns in luminal breast cancers differ from non-luminal subtypes and can identify relapse risk independent of other clinical variables.

Sitharthan Kamalakaran, Vinay Varadan, Hege E Giercksky Russnes, Dan Levy, Jude Kendall, Angel Janevski, Michael Riggs, Nilanjana Banerjee, Marit Synnestvedt, Ellen Schlichting and 13 more

Open access · bronzeAbstract read
In one paragraph

Article in Molecular oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 2 pooled it
4.6field-weighted citation impact, top 5% 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

82 citing papers in PubMed, 2 syntheses or guidelines pooled it, 147 citations in OpenAlex.

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  17. The p53 Pathway Related Genes Predict the Prognosis of Colon Cancer.International journal of general medicine · 2022
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22 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

23 authors at 5 institutions in 4 countries.

Sitharthan KamalakaranPhilips Research North America, Biomedical Informatics, Briarcliff Manor, NY 10510, United States. sitharthk@philips.com
Vinay Varadan
Hege E Giercksky Russnes
Dan Levy
Jude Kendall
Angel Janevski
Michael Riggs
Nilanjana Banerjee
Marit Synnestvedt
Ellen Schlichting
Rolf Kåresen
K Shama Prasada
Harish Rotti
Ramachandra Rao
Laxmi Rao
Man-Hung Eric Tang
K Satyamoorthy
Robert Lucito
Michael Wigler
Nevenka Dimitrova
Bjorn Naume
Anne-Lise Borresen-Dale
James B Hicks
Cold Spring Harbor Laboratory · USOslo University Hospital · NOManipal Academy of Higher Education · INPhilips (United States) · USPhilips (Finland) · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diversity of breast cancers reflects variations in underlying biology and affects the clinical implications for patients. Gene expression studies have identified five major subtypes- Luminal A, Luminal B, basal-like, ErbB2+ and Normal-Like. We set out to determine the role of DNA methylation in subtypes by performing genome-wide scans of CpG methylation in breast cancer samples with known expression-based subtypes. Unsupervised hierarchical clustering using a set of most varying loci clustered the tumors into a Luminal A majority (82%) cluster, Basal-like/ErbB2+ majority (86%) cluster and a non-specific cluster with samples that were also inconclusive in their expression-based subtype correlations. Contributing methylation loci were both gene associated loci (30%) and non-gene associated (70%), suggesting subtype dependant genome-wide alterations in the methylation landscape. The methylation patterns of significant differentially methylated genes in luminal A tumors are similar to those identified in CD24 + luminal epithelial cells and the patterns in basal-like tumors similar to CD44 + breast progenitor cells. CpG islands in the HOXA cluster and other homeobox (IRX2, DLX2, NKX2-2) genes were significantly more methylated in Luminal A tumors. A significant number of genes (2853, p < 0.05) exhibited expression-methylation correlation, implying possible functional effects of methylation on gene expression. Furthermore, analysis of these tumors by using follow-up survival data identified differential methylation of islands proximal to genes involved in Cell Cycle and Proliferation (Ki-67, UBE2C, KIF2C, HDAC4), angiogenesis (VEGF, BTG1, KLF5), cell fate commitment (SPRY1, OLIG2, LHX2 and LHX5) as having prognostic value independent of subtypes and other clinical factors.

Indexed as

DNA MethylationBreast NeoplasmsFemaleHomeobox Protein Nkx-2.2Homeodomain ProteinsHumansNuclear ProteinsPrognosisRecurrenceTranscription FactorsHomeobox Protein Nkx-2.2Homeodomain ProteinsNuclear ProteinsTranscription Factors

Identifiers

PMID21169070
PMCPMC5528275
OpenAlexW2046376502

What OpenQuestion holds

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Read underepoch 390

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.