The DOI matches its Crossref record; 197 of the 197 references it cites were found in a registry or an index.
MicroRNA dysregulation in cancer: diagnostics, monitoring and therapeutics. A comprehensive review
Open accessAbstract
Early studies have shown how aberrantly expressed microRNAs are a hallmark of several diseases like cancer. MicroRNA expression profiling was shown to be associated with tumour development, progression and response to therapy, suggesting their possible use as diagnostic, prognostic and predictive biomarkers. Moreover, based on the increasing number of studies demonstrating that microRNAs can function as potential oncogenes or oncosuppressor genes, with the goal to improve disease response and increase cure rates, miRNA‐based anticancer therapies have recently been exploited, either alone or in combination with current targeted therapies. The advantage of using microRNA approaches is based on its ability to concurrently target multiple effectors of pathways involved in cell differentiation, proliferation and survival. Here, we review our current knowledge about the involvement of microRNAs in cancer, and their potential as diagnostic, prognostic and therapeutic tools.
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2 retracted
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Cited by
MicroRNA therapeutics: towards a new era for the management of cancer and other diseases
Rupaimoole, R., & Slack, F. J. (2017) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.246 · Cited by 4,741
The current state and future directions of RNAi-based therapeutics
Setten, R. L., Rossi, J. J., & Han, S.-P. (2019) · Nature Reviews Drug Discovery · doi:10.1038/s41573-019-0017-4 · Cited by 1,443
siRNA versus miRNA as therapeutics for gene silencing
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Cancer Stem Cells: Basic Concepts and Therapeutic Implications
Nassar, D., & Blanpain, C. (2016) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev-pathol-012615-044438 · Cited by 869
Circulating Exosomal microRNAs as Biomarkers of Colon Cancer
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Metadata
- Authors
- Iorio, M. V., & Croce, C. M.
- Venue
- EMBO Molecular Medicine
- Published
- 2012-02-20
- Volume
- 4
- Issue
- 3
- Pages
- 143-159
- ISSN
- 1757-4676 (ISSN-L)
- 1757-4684
- OpenAlex
- W2111471857
- Cited by
- 1,739
- References
- 197
- FWCI
- 42.32
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
