The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
The Versatile Role of microRNA-30a in Human Cancer
Open accessAbstract
MicroRNAs (miRNAs) are a group of noncoding RNA molecules of 20-23 nucleotides length that negatively regulate gene expressions in numerous cellular processes. Through complementary paring with target mRNAs, miRNAs have frequently emerged as dual regulators of cancer development by acting on multiple signaling pathways, thereby act as novel biomarkers for cancer diagnosis, prognosis, and prediction of response to treatment. As one of them, miR-30a has been found to act as an onco-suppressor of tumorigenesis pathways through inhibition of cellular proliferation, migration and invasion. Simultaneously, miR-30a plays a progressing role in several types of cancer, determined by relevant target genes as well. In the present review, we summarize recent research regarding miR-30a, including its biological function, expression and regulation, especially focusing on its role in cancer development and progression. Clinically, miR-30a may serve as a potential target in the diagnosis and therapy of human cancer.
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Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012
Ferlay, J., Soerjomataram, I., Dikshit, R., Eser, S., Mathers, C., Rebelo, M., Parkin, D. M., Forman, D., & Bray, F. (2015) · International Journal of Cancer · doi:10.1002/ijc.29210 · Cited by 28,766
Regulation mechanisms and signaling pathways of autophagy
He, C., & Klionsky, D. J. (2009) · Annual Review of Genetics · doi:10.1146/annurev-genet-102808-114910 · Cited by 3,609
Mellios, N., Huang, H.-S., Grigorenko, A., Rogaev, E., & Akbarian, S. (2008) · Human Molecular Genetics · doi:10.1093/hmg/ddn201 · Cited by 274
Darcq, E., Warnault, V, Phamluong, K., Besserer, G. M., Liu, F., & Ron, D. (2015) · Molecular Psychiatry · doi:10.1038/mp.2014.155 · Cited by 87
Identification of genes involved in epithelial-mesenchymal transition and tumor progression
Kiemer, A. K., Takeuchi, K., & Quinlan, M. P. (2001) · Oncogene · doi:10.1038/sj.onc.1204872 · Cited by 77
Cited by
Bataller, R., & Brenner, D. A. (2005) · Journal of Clinical Investigation · doi:10.1172/jci24282 · Cited by 4,958
Cellular and molecular mechanisms of fibrosis
Wynn, T. (2008) · The Journal of Pathology · doi:10.1002/path.2277 · Cited by 4,495
Hepatic Stellate Cells: Protean, Multifunctional, and Enigmatic Cells of the Liver
Friedman, S. L. (2008) · Physiological Reviews · doi:10.1152/physrev.00013.2007 · Cited by 2,842
Transactivation of miR-34a by p53 broadly influences gene expression and promotes apoptosis
Chang, T.-C., Wentzel, E. A., Kent, O. A., Ramachandran, K., Mullendore, M., Lee, K. H., Feldmann, G., Yamakuchi, M., Ferlito, M., Lowenstein, C. J., et al. (2007) · Molecular Cell · doi:10.1016/j.molcel.2007.05.010 · Cited by 2,010
Requirement of bic/microRNA-155 for Normal Immune Function
Rodriguez, A., Vigorito, E., Clare, S., Warren, M. V., Couttet, P., Soond, D. R., van Dongen, S., Grocock, R. J., Das, P. P., Miska, E. A., et al. (2007) · Science · doi:10.1126/science.1139253 · Cited by 1,833
Metadata
- Authors
- Wang, C., Yang, X., Chen, Y., & Chen, L.
- Venue
- Cellular Physiology and Biochemistry
- Publisher
- S. Karger AG
- Published
- 2017
- Volume
- 41
- Issue
- 4
- Pages
- 1616-1632
- ISSN
- 1015-8987 (ISSN-L)
- 1421-9778
- OpenAlex
- W2597632520
- Cited by
- 3,409
- References
- 5
- FWCI
- 106.43
- Type
- journal article
- Language
- en
- Open access
- gold
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