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Cited by 398

The DOI matches its Crossref record; 158 of the 158 references it cites were found in a registry or an index.

Cancer epigenetics

Laird, Peter W.·2005·Human Molecular Genetics

Abstract

The field of cancer epigenetics is evolving rapidly on several fronts. Advances in our understanding of chromatin structure, histone modification, transcriptional activity and DNA methylation have resulted in an increasingly integrated view of epigenetics. In response to these insights, epigenetic therapy is expanding to include combinations of histone deacetylase inhibitors and DNA methyltransferase inhibitors. Zebularine, an orally administerable DNA methyltransferase inhibitor, has been a very promising recent addition to our arsenal of potentially useful drugs for epigenetic therapy. Aberrant DNA methylation patterns provide three powerful diagnostic applications as classification markers, sensitive detection markers, and risk assessment markers. Classification studies continue to increase in marker complexity, now incorporating microarrays, high-throughput bisulfite genomic sequencing and mass spectrometry, as the field moves to human epigenome projects. Sensitive detection technology has expanded from primarily blood-based cancer detection to include applications on a wide diversity of sample sources and is now also making inroads as a molecular risk assessment tool.

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Crossref · 10.1093/hmg/ddi113

Cites

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Metadata

Authors
Laird, P. W.
Venue
Human Molecular Genetics
Published
2005-04-15
Volume
14
Issue
suppl_1
Pages
R65-R76
ISSN
  • 0964-6906 (ISSN-L)
  • 1460-2083
OpenAlex
W4211231408
Cited by
398
References
158
FWCI
16.82
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Cancer epigenetics. https://app.cochat.ai/papers/10.1093/hmg/ddi113
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Laird, P. W. (2005). Cancer epigenetics. Human Molecular Genetics. https://doi.org/10.1093/hmg/ddi113

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.