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Cited by 2,483

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

The role of MicroRNAs in human cancer

Open access
Peng, Yong, Croce, Carlo M·2016·Signal Transduction and Targeted Therapy

Abstract

MicroRNAs (miRNAs) are endogenous, small non-coding RNAs that function in regulation of gene expression. Compelling evidences have demonstrated that miRNA expression is dysregulated in human cancer through various mechanisms, including amplification or deletion of miRNA genes, abnormal transcriptional control of miRNAs, dysregulated epigenetic changes and defects in the miRNA biogenesis machinery. MiRNAs may function as either oncogenes or tumor suppressors under certain conditions. The dysregulated miRNAs have been shown to affect the hallmarks of cancer, including sustaining proliferative signaling, evading growth suppressors, resisting cell death, activating invasion and metastasis, and inducing angiogenesis. An increasing number of studies have identified miRNAs as potential biomarkers for human cancer diagnosis, prognosis and therapeutic targets or tools, which needs further investigation and validation. In this review, we focus on how miRNAs regulate the development of human tumors by acting as tumor suppressors or oncogenes.

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Metadata

Authors
Peng, Y., & Croce, C. M.
Venue
Signal Transduction and Targeted Therapy
Published
2016-01-28
Volume
1
Issue
1
Pages
15004-15004
ISSN
2059-3635 (ISSN-L)
OpenAlex
W2736520162
Cited by
2,483
References
17
FWCI
44.52
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: The role of MicroRNAs in human cancer. https://app.cochat.ai/papers/10.1038/sigtrans.2015.4
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Peng, Y., & Croce, C. M. (2016). The role of MicroRNAs in human cancer. Signal Transduction and Targeted Therapy. https://doi.org/10.1038/sigtrans.2015.4

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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.