| Title |
Molecular mechanisms and microRNAs in osteosarcoma pathogenesis
|
|---|---|
| Published in |
Biochemistry, May 2016
|
| DOI | 10.1134/s0006297916040027 |
| Pubmed ID | |
| Authors |
N. E. Kushlinskii, M. V. Fridman, E. A. Braga |
| Abstract |
This review summarizes data on microRNA (miRNA) genomic organization, biogenesis, and functions in carcinogenesis. The roles of key genes and regulatory miRNAs in molecular mechanisms and signaling pathways involved in the development of osteosarcoma, the most aggressive type of bone tumor striking mainly in adolescence and early adulthood, are discussed in detail. The most critical pathways in osteosarcoma pathogenesis are the Notch, Wnt, NF-κB, p53, PI3K/Akt, and MAPK pathways. The balance between cell survival and apoptosis is determined by the Wnt and NF-κB pathways, as well as by the ratio between the activities of the MAPK and PI3K/Akt pathways. Several miRNAs (miR-21, -34a, -143, -148a, -195a, -199a-3p, -382) regulate multiple target genes, pathways, and processes essential for osteosarcoma pathogenesis. Data on the key genes and regulatory miRNAs involved in metastasis and tumor cell response to drug treatment are presented. Possible applications of miRNA in osteosarcoma diagnostics and treatment are discussed. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 21% |
| Researcher | 7 | 16% |
| Student > Bachelor | 5 | 12% |
| Student > Postgraduate | 5 | 12% |
| Student > Master | 2 | 5% |
| Other | 4 | 9% |
| Unknown | 11 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 26% |
| Biochemistry, Genetics and Molecular Biology | 8 | 19% |
| Agricultural and Biological Sciences | 2 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Arts and Humanities | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 14 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 June 2016.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Biochemistry
#21,450
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Outputs of similar age
#289,513
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Outputs of similar age from Biochemistry
#155
of 165 outputs
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