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Cited by 936

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

MicroRNAs en route to the clinic: progress in validating and targeting microRNAs for cancer therapy

Open access
Kasinski, Andrea L., Slack, Frank J.·2011·Nature Reviews Cancer

Abstract

In normal cells multiple microRNAs (miRNAs) converge to maintain a proper balance of various processes, including proliferation, differentiation and cell death. miRNA dysregulation can have profound cellular consequences, especially because individual miRNAs can bind to and regulate multiple mRNAs. In cancer, the loss of tumour-suppressive miRNAs enhances the expression of target oncogenes, whereas increased expression of oncogenic miRNAs (known as oncomirs) can repress target tumour suppressor genes. This realization has resulted in a quest to understand the pathways that are regulated by these miRNAs using in vivo model systems, and to comprehend the feasibility of targeting oncogenic miRNAs and restoring tumour-suppressive miRNAs for cancer therapy. Here we discuss progress in using mouse models to understand the roles of miRNAs in cancer and the potential for manipulating miRNAs for cancer therapy as these molecules make their way towards clinical trials.

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Metadata

Authors
Kasinski, A. L., & Slack, F. J.
Venue
Nature Reviews Cancer
Published
2011-11-24
Volume
11
Issue
12
Pages
849-864
ISSN
  • 1474-175X (ISSN-L)
  • 1474-1768
OpenAlex
W2105493915
Cited by
936
References
19
FWCI
4.16
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: MicroRNAs en route to the clinic: progress in validating and targeting microRNAs for cancer therapy. https://app.cochat.ai/papers/10.1038/nrc3166
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Kasinski, A. L., & Slack, F. J. (2011). MicroRNAs en route to the clinic: progress in validating and targeting microRNAs for cancer therapy. Nature Reviews Cancer. https://doi.org/10.1038/nrc3166

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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.