| Title |
Circulating Micro-RNAs as Potential Blood-Based Markers for Early Stage Breast Cancer Detection
|
|---|---|
| Published in |
PLOS ONE, January 2012
|
| DOI | 10.1371/journal.pone.0029770 |
| Pubmed ID | |
| Authors |
Michael G. Schrauder, Reiner Strick, Rüdiger Schulz-Wendtland, Pamela L. Strissel, Laura Kahmann, Christian R. Loehberg, Michael P. Lux, Sebastian M. Jud, Arndt Hartmann, Alexander Hein, Christian M. Bayer, Mayada R. Bani, Swetlana Richter, Boris R. Adamietz, Evelyn Wenkel, Claudia Rauh, Matthias W. Beckmann, Peter A. Fasching |
| Abstract |
MicroRNAs (miRNAs, miRs) are a class of small, non-coding RNA molecules with relevance as regulators of gene expression thereby affecting crucial processes in cancer development. MiRNAs offer great potential as biomarkers for cancer detection due to their remarkable stability in blood and their characteristic expression in many different diseases. We investigated whether microarray-based miRNA profiling on whole blood could discriminate between early stage breast cancer patients and healthy controls. |
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 % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 4 | 2% |
| United Kingdom | 3 | 1% |
| India | 1 | <1% |
| New Caledonia | 1 | <1% |
| Belarus | 1 | <1% |
| Denmark | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 204 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 54 | 25% |
| Student > Ph. D. Student | 43 | 20% |
| Student > Master | 24 | 11% |
| Student > Bachelor | 22 | 10% |
| Professor > Associate Professor | 12 | 6% |
| Other | 41 | 19% |
| Unknown | 21 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 59 | 27% |
| Medicine and Dentistry | 53 | 24% |
| Biochemistry, Genetics and Molecular Biology | 35 | 16% |
| Engineering | 10 | 5% |
| Computer Science | 8 | 4% |
| Other | 21 | 10% |
| Unknown | 31 | 14% |