| Title |
Circulating microRNAs and extracellular vesicles as potential cancer biomarkers: a systematic review
|
|---|---|
| Published in |
International Journal of Clinical Oncology, February 2017
|
| DOI | 10.1007/s10147-017-1104-3 |
| Pubmed ID | |
| Authors |
Juntaro Matsuzaki, Takahiro Ochiya |
| Abstract |
Circulating non-coding RNAs, including microRNAs and long non-coding RNAs, and the protein components of extracellular vesicles are promising biomarkers for the non-invasive detection of cancer at an early stage. This systematic review discusses the increasing number of well-designed cancer biomarker-related studies that have been published worldwide. In many of these studies, high diagnostic accuracy, which is represented as the area under the receiver operating characteristic curve being >0.8, could be achieved using combinations of circulating microRNAs. In addition, similar diagnostic accuracies were reported using long non-coding RNAs or proteins present in extracellular vesicles, although these evidences were based on a limited number of studies. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Switzerland | 1 | <1% |
| Austria | 1 | <1% |
| Unknown | 131 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 22% |
| Student > Ph. D. Student | 29 | 22% |
| Student > Master | 13 | 10% |
| Student > Bachelor | 10 | 7% |
| Student > Doctoral Student | 7 | 5% |
| Other | 16 | 12% |
| Unknown | 29 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 42 | 31% |
| Medicine and Dentistry | 25 | 19% |
| Agricultural and Biological Sciences | 9 | 7% |
| Computer Science | 4 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 3% |
| Other | 16 | 12% |
| Unknown | 34 | 25% |
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 09 March 2017.
All research outputs
#15,448,846
of 22,958,253 outputs
Outputs from International Journal of Clinical Oncology
#395
of 921 outputs
Outputs of similar age
#198,277
of 312,053 outputs
Outputs of similar age from International Journal of Clinical Oncology
#6
of 12 outputs
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