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Cited by 373

The DOI matches its Crossref record; 147 of the 147 references it cites were found in a registry or an index.

DNA methylation profiles in cancer diagnosis and therapeutics

Open access
Pan, Yunbao, Liu, Guohong, Zhou, Fuling, Su, Bojin, Li, Yirong·2018·Clinical and Experimental Medicine

Abstract

Cancer initiation and proliferation is regulated by both epigenetic and genetic events with epigenetic modifications being increasingly identified as important targets for cancer research. DNA methylation catalyzed by DNA methyltransferases (DNMTs) is one of the essential epigenetic mechanisms that control cell proliferation, apoptosis, differentiation, cell cycle, and transformation in eukaryotes. Recent progress in epigenetics revealed a deeper understanding of the mechanisms of tumorigenesis and provided biomarkers for early detection, diagnosis, and prognosis in cancer patients. Although DNA methylation biomarker possesses potential contributing to precision medicine, there are still limitations to be overcome before it reaches clinical setting. Hence, the current status of DNA methylation biomarkers was reviewed and the future use in clinic was also predicted.

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Crossref · 10.1007/s10238-017-0467-0

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Metadata

Authors
Pan, Y., Liu, G., Zhou, F., Su, B., & Li, Y.
Venue
Clinical and Experimental Medicine
Published
2017-07-27
Volume
18
Issue
1
Pages
1-14
ISSN
  • 1591-8890 (ISSN-L)
  • 1591-9528
OpenAlex
W2740523213
Cited by
373
References
147
FWCI
9.22
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: DNA methylation profiles in cancer diagnosis and therapeutics. https://app.cochat.ai/papers/10.1007/s10238-017-0467-0
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Pan, Y., Liu, G., Zhou, F., Su, B., & Li, Y. (2018). DNA methylation profiles in cancer diagnosis and therapeutics. Clinical and Experimental Medicine. https://doi.org/10.1007/s10238-017-0467-0

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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.