ReviewEpigenomics2013
DNA methylation data analysis and its application to cancer research.
Review in Epigenomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 16 of them syntheses that pooled 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.
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.
Who cites it
63 citing papers in PubMed, 16 syntheses or guidelines pooled it, 108 citations in OpenAlex.
- A systematic review and meta-analysis: Association between MGMT hypermethylation and the clinicopathological characteristics of non-small-cell lung carcinoma.Scientific reports · 2018Pooled it
- Association of MGMT promoter methylation with tumorigenesis features in patients with ovarian cancer: A systematic meta-analysis.Molecular genetics & genomic medicine · 2018Pooled it
- Association between Retinoic acid receptor-β hypermethylation and NSCLC risk: a meta-analysis and literature review.Oncotarget · 2017Pooled it
- Clinical significance of CDH13 promoter methylation as a biomarker for bladder cancer: a meta-analysis.BMC urology · 2016Pooled it
- Quantitative assessment of the association between APC promoter methylation and breast cancer.Oncotarget · 2016Pooled it
- The clinicopathological significance of FHIT hypermethylation in non-small cell lung cancer, a meta-analysis and literature review.Scientific reports · 2016Pooled it
- The clinicopathological significance and ethnic difference of FHIT hypermethylation in non-small-cell lung carcinoma: a meta-analysis and literature review.Drug design, development and therapy · 2016Pooled it
- Clinicopathological Significance and Potential Drug Target of CDKN2A/p16 in Endometrial Carcinoma.Scientific reports · 2015Pooled it
- Clinicopathological significance and potential drug target of O6-methylguanine-DNA methyltransferase in colorectal cancer: a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015Pooled it
- The clinicopathological significance and potential drug target of E-cadherin in NSCLC.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015Pooled it
- Clinicopathological significance and potential drug target of RUNX3 in non-small cell lung cancer: a meta-analysis.Drug design, development and therapy · 2015Pooled it
- Clinicopathological significance and potential drug target of CDH1 in breast cancer: a meta-analysis and literature review.Drug design, development and therapy · 2015Pooled it
- The clinicopathological significance of CDH1 in gastric cancer: a meta-analysis and systematic review.Drug design, development and therapy · 2015Pooled it
- Clinicopathological significance of RUNX3 gene hypermethylation in hepatocellular carcinoma.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014Pooled it
- Clinicopathological significance and potential drug target of RUNX3 in breast cancer.Drug design, development and therapy · 2014Pooled it
- Clinicopathological significance and potential drug target of p15INK4B in multiple myeloma.Drug design, development and therapy · 2014Pooled it
- A prognostic predictor panel with DNA methylation biomarkers for early-stage lung adenocarcinoma in Asian and Caucasian populations.Journal of biomedical science · 2016Trial
- Recurrent mechanisms of biallelic epigenetic inactivation reveal new putative tumour suppressor genes in prostate cancer.Nature communications · 2026Article
- FN1 as a key gene in modulating the integrin cell surface pathway in breast cancer.Medical oncology (Northwood, London, England) · 2026Article
- Epigenetic Insights into Vascular Cognitive Impairment: DNA Methylation in the Human Brain Tissue.Molecular neurobiology · 2025Article
3 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
With the rapid development of genome-wide high-throughput technologies, including expression arrays, SNP arrays and next-generation sequencing platforms, enormous amounts of molecular data have been generated and deposited in the public domain. The application of computational approaches is required to yield biological insights from this enormous, ever-growing resource. A particularly interesting subset of these resources is related to epigenetic regulation, with DNA methylation being the most abundant data type. In this paper, we will focus on the analysis of DNA methylation data and its application to cancer studies. We first briefly review the molecular techniques that generate such data, much of which has been obtained with the use of the most recent version of Infinium HumanMethylation450 BeadChip(®) technology (Illumina, CA, USA). We describe the coverage of the methylome by this technique. Several examples of data mining are provided. However, it should be understood that reliance on a single aspect of epigenetics has its limitations. In the not too distant future, these defects may be rectified, providing scientists with previously unavailable opportunities to explore in detail the role of epigenetics in cancer and other disease states.
Indexed as
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What OpenQuestion holds
Registered trials
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.