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Cited by 395

The DOI matches its Crossref record; 187 of the 187 references it cites were found in a registry or an index.

Targeting histone methyltransferases and demethylases in clinical trials for cancer therapy

Open access
Morera, Ludovica, Lübbert, Michael, Jung, Manfred·2016·Clinical Epigenetics

Abstract

The term epigenetics is defined as heritable changes in gene expression that are not due to alterations of the DNA sequence. In the last years, it has become more and more evident that dysregulated epigenetic regulatory processes have a central role in cancer onset and progression. In contrast to DNA mutations, epigenetic modifications are reversible and, hence, suitable for pharmacological interventions. Reversible histone methylation is an important process within epigenetic regulation, and the investigation of its role in cancer has led to the identification of lysine methyltransferases and demethylases as promising targets for new anticancer drugs. In this review, we describe those enzymes and their inhibitors that have already reached the first stages of clinical trials in cancer therapy, namely the histone methyltransferases DOT1L and EZH2 as well as the demethylase LSD1.

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Metadata

Authors
Morera, L., Lübbert, M., & Jung, M.
Venue
Clinical Epigenetics
Published
2016-05-24
Volume
8
Issue
1
Pages
57-57
ISSN
  • 1868-7075 (ISSN-L)
  • 1868-7083
OpenAlex
W2407406252
Cited by
395
References
187
FWCI
27.54
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Targeting histone methyltransferases and demethylases in clinical trials for cancer therapy. https://app.cochat.ai/papers/10.1186/s13148-016-0223-4
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Morera, L., Lübbert, M., & Jung, M. (2016). Targeting histone methyltransferases and demethylases in clinical trials for cancer therapy. Clinical Epigenetics. https://doi.org/10.1186/s13148-016-0223-4

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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.