| Title |
ExRNA in Biofluids as Biomarkers for Brain Tumors
|
|---|---|
| Published in |
Cellular and Molecular Neurobiology, March 2016
|
| DOI | 10.1007/s10571-015-0284-5 |
| Pubmed ID | |
| Authors |
Robert C. Rennert, Fred H. Hochberg, Bob S. Carter |
| Abstract |
Patients with high-grade gliomas and glioblastomas (GBMs) have poor survival despite optimal surgical and drug therapy. Minimally invasive diagnostic biomarkers would enable early diagnosis and tumor-specific treatments for 'personalized targeted' therapy, and would create the basis for response tracking in patients with GBM. Extracellular vesicles (EVs) isolated from cerebrospinal fluid and blood contain glioma-specific molecules, including tumor-derived EV RNAs that are detectable in small copy numbers in these biofluids. EV RNA mutations or expression changes are also detectable, the analysis of which gives rise to 'liquid biopsy' tumor profiling. |
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 % |
|---|---|---|
| Portugal | 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 45 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 21% |
| Student > Bachelor | 6 | 13% |
| Student > Master | 5 | 11% |
| Researcher | 3 | 6% |
| Student > Doctoral Student | 3 | 6% |
| Other | 14 | 30% |
| Unknown | 6 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 30% |
| Biochemistry, Genetics and Molecular Biology | 11 | 23% |
| Agricultural and Biological Sciences | 8 | 17% |
| Neuroscience | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 7 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 24 March 2016.
All research outputs
#15,002,375
of 23,854,458 outputs
Outputs from Cellular and Molecular Neurobiology
#590
of 1,046 outputs
Outputs of similar age
#163,283
of 304,121 outputs
Outputs of similar age from Cellular and Molecular Neurobiology
#31
of 56 outputs
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