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Cited by 352

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Clinical Applications for microRNAs in Cancer

Nana-Sinkam, S P, Croce, C M·2013·Clinical Pharmacology & Therapeutics

Abstract

The discovery that noncoding components of the genome, including microRNA (miRNA or miR), can contribute to the pathogenesis of cancer has led investigators to contemplate using these molecules to guide clinical decision making. Currently, miRNA signatures are being applied in human clinical trials and miRNA-directed therapy is under way, with miR-122 targeting in hepatitis C (HCV) being the most developed therapy thus far. miRNA-based targeting in cancer is not far behind, with several private companies developing therapeutics. We are recognizing the potential for miRNA biology to clarify both the molecular pathogenesis of cancer and the inherent complexities in translating its biology to clinics. An increased understanding of fundamental miRNA biology, improved bioinformatics, and directed in vivo targeting while minimizing off-target effects and toxicity will be required for successful translational application. Here, we provide an overview of miRNAs, with a focus on aspects of translating bench-based discoveries to the clinic.

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Metadata

Authors
Nana-Sinkam, S. P., & Croce, C. M.
Venue
Clinical Pharmacology & Therapeutics
Publisher
Wiley
Published
2012-12-05
Volume
93
Issue
1
Pages
98-104
ISSN
  • 0009-9236 (ISSN-L)
  • 1532-6535
OpenAlex
W1978025728
Cited by
352
References
6
FWCI
17.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Clinical Applications for microRNAs in Cancer. https://app.cochat.ai/papers/10.1038/clpt.2012.192
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Nana-Sinkam, S. P., & Croce, C. M. (2013). Clinical Applications for microRNAs in Cancer. Clinical Pharmacology & Therapeutics. https://doi.org/10.1038/clpt.2012.192

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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.