| Title |
Review of microRNA in osteosarcoma and chondrosarcoma
|
|---|---|
| Published in |
Medical Oncology, April 2015
|
| DOI | 10.1007/s12032-015-0613-z |
| Pubmed ID | |
| Authors |
Le Chang, Swati Shrestha, Greg LaChaud, Michelle A. Scott, Aaron W. James |
| Abstract |
MicroRNAs (miRNAs) are small noncoding RNAs, which play a complex role in posttranscriptional gene expression and can theoretically be used as a diagnostic or prognostic tool, or therapeutic target for neoplasia. Despite advances in the diagnosis and treatment of skeletal sarcomas, including osteosarcoma and chondrosarcoma, much remains unknown regarding their underpinning molecular mechanisms. Given the recent increasing knowledge base of miRNA roles in neoplasia, both as oncogenes and tumor suppressor genes, this review will focus on the available literature regarding the expression profiles and potential roles of miRNA in skeletal sarcomas. Although this is an emerging field, miRNA profiling may be of use in clarifying competing diagnoses of skeletal sarcomas and possibly indicate patient risk of resistance to traditional chemotherapeutic agents. While detecting and targeting miRNAs is currently limited to experimental investigations, miRNA may be utilized for future clinical management of skeletal sarcomas. |
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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 21% |
| Student > Ph. D. Student | 5 | 15% |
| Student > Bachelor | 3 | 9% |
| Student > Postgraduate | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Other | 6 | 18% |
| Unknown | 7 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 27% |
| Medicine and Dentistry | 9 | 27% |
| Agricultural and Biological Sciences | 5 | 15% |
| Sports and Recreations | 1 | 3% |
| Engineering | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 8 | 24% |
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 30 April 2015.
All research outputs
#20,269,439
of 22,800,560 outputs
Outputs from Medical Oncology
#957
of 1,291 outputs
Outputs of similar age
#223,494
of 265,105 outputs
Outputs of similar age from Medical Oncology
#21
of 31 outputs
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