The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.
Challenges in Using Circulating miRNAs as Cancer Biomarkers
Open accessAbstract
In the last years, circulating miRNAs have emerged as a new class of promising cancer biomarkers. Independent studies have shown the feasibility of using these small RNAs as tools for the diagnosis and prognosis of different types of malignancies as well as for predicting and possibly monitoring treatment response. However, despite an initial enthusiasm for their possible clinical application, widespread inconsistencies have been observed among the studies, and miRNA-based tools still represent the object of research within clinical diagnostic or treatment protocols. The poor overlap of results could be explained, at least in part, by preanalytical and analytical variables and donor-related factors that could generate artefacts, impairing an accurate quantification of circulating miRNAs. In fact, critical issues are represented by nonuniform sample choice, handling, and processing, as well as by blood cell contamination in sample preparation and lack of consensus for data normalization. In this review, we address the potential technical biases and individual-related parameters that can influence circulating miRNA studies’ outcome. The exciting potential of circulating miRNAs as cancer biomarkers could confer an important advance in the disease management, but their clinical significance might not be proven without a global consensus of procedures and standardized protocols for their accurate detection.
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Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
MicroRNAs: Target Recognition and Regulatory Functions
Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.01.002 · Cited by 20,068
Valadi, H., Ekström, K., Bossios, A., Sjöstrand, M., Lee, J. J., & Lötvall, J. O. (2007) · Nature Cell Biology · doi:10.1038/ncb1596 · Cited by 12,834
Circulating microRNAs as stable blood-based markers for cancer detection
Mitchell, P. S., Parkin, R. K., Kroh, E. M., Fritz, B. R., Wyman, S. K., Pogosova-Agadjanyan, E. L., Peterson, A., Noteboom, J., O'Briant, K. C., Allen, A., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0804549105 · Cited by 7,969
miRBase: annotating high confidence microRNAs using deep sequencing data
Kozomara, A., & Griffiths-Jones, S. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1181 · Cited by 5,073
The widespread regulation of microRNA biogenesis, function and decay
Krol, J., Loedige, I., & Filipowicz, W. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2843 · Cited by 4,672
Chen, X., Ba, Y., Ma, L., Cai, X., Yin, Y., Wang, K., Guo, J., Zhang, Y., Chen, J., Guo, X., et al. (2008) · Cell Research · doi:10.1038/cr.2008.282 · Cited by 4,560
Arroyo, J. D., Chevillet, J. R., Kroh, E. M., Ruf, I. K., Pritchard, C. C., Gibson, D. F., Mitchell, P. S., Bennett, C. F., Pogosova-Agadjanyan, E. L., Stirewalt, D. L., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1019055108 · Cited by 3,294
Causes and consequences of microRNA dysregulation in cancer
Croce, C. M. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2634 · Cited by 2,998
Lawrie, C. H., Gal, S., Dunlop, H. M., Pushkaran, B., Liggins, A. P., Pulford, K., Banham, A. H., Pezzella, F., Boultwood, J., Wainscoat, J. S., et al. (2008) · British Journal of Haematology · doi:10.1111/j.1365-2141.2008.07077.x · Cited by 1,735
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The Promising Role of miR-21 as a Cancer Biomarker and Its Importance in RNA-Based Therapeutics
Bautista-Sánchez, D., Arriaga-Canon, C., Pedroza-Torres, A., De La Rosa-Velázquez, I. A., González-Barrios, R., Contreras-Espinosa, L., Montiel-Manríquez, R., Castro-Hernández, C., Fragoso-Ontiveros, V., Álvarez-Gómez, R. M., et al. (2020) · Molecular Therapy Nucleic Acids · doi:10.1016/j.omtn.2020.03.003 · Cited by 549
Data Normalization Strategies for MicroRNA Quantification
Schwarzenbach, H., da Silva, A. M., Calin, G., & Pantel, K. (2015) · Clinical Chemistry · doi:10.1373/clinchem.2015.239459 · Cited by 468
Stability of Circulating Blood-Based MicroRNAs – Pre-Analytic Methodological Considerations
Glinge, C., Clauss, S., Boddum, K., Jabbari, R., Jabbari, J., Risgaard, B., Tomsits, P., Hildebrand, B., Kääb, S., Wakili, R., et al. (2017) · PLOS ONE · doi:10.1371/journal.pone.0167969 · Cited by 351
Stylli, S. S., Adamides, A. A., Koldej, R. M., Luwor, R. B., Ritchie, D. S., Ziogas, J., & Kaye, A. H. (2017) · Journal of Neurosurgery · doi:10.3171/2016.1.jns151454 · Cited by 71
Valbuena, G. N., Apostolidou, S., Roberts, R., Barnes, J., Alderton, W., Harper, L., Jacobs, I., Menon, U., & Keun, H. C. (2019) · Scientific Reports · doi:10.1038/s41598-019-51948-6 · Cited by 13
Metadata
- Authors
- Tiberio, P., Callari, M., Angeloni, V., Daidone, M. G., & Appierto, V.
- Venue
- BioMed Research International
- Publisher
- Wiley
- Published
- 2015
- Volume
- 2015
- Pages
- 1-10
- ISSN
- 1110-7243 (ISSN-L)
- 2314-6133
- 2314-6141
- OpenAlex
- W1996415723
- Cited by
- 271
- References
- 75
- FWCI
- 8.64
- Type
- journal article
- Language
- en
- Open access
- hybrid
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