| Title |
Identification and Validation of Oncologic miRNA Biomarkers for Luminal A-like Breast Cancer
|
|---|---|
| Published in |
PLOS ONE, January 2014
|
| DOI | 10.1371/journal.pone.0087032 |
| Pubmed ID | |
| Authors |
Ailbhe M. McDermott, Nicola Miller, Deirdre Wall, Lorcan M. Martyn, Graham Ball, Karl J. Sweeney, Michael J. Kerin |
| Abstract |
Breast cancer is a common disease with distinct tumor subtypes phenotypically characterized by ER and HER2/neu receptor status. MiRNAs play regulatory roles in tumor initiation and progression, and altered miRNA expression has been demonstrated in a variety of cancer states presenting the potential for exploitation as cancer biomarkers. Blood provides an excellent medium for biomarker discovery. This study investigated systemic miRNAs differentially expressed in Luminal A-like (ER+PR+HER2/neu-) breast cancer and their effectiveness as oncologic biomarkers in the clinical setting. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 1% |
| Denmark | 1 | 1% |
| Unknown | 92 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 22 | 23% |
| Researcher | 13 | 14% |
| Student > Ph. D. Student | 10 | 11% |
| Student > Bachelor | 8 | 9% |
| Student > Doctoral Student | 6 | 6% |
| Other | 17 | 18% |
| Unknown | 18 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 23% |
| Agricultural and Biological Sciences | 19 | 20% |
| Medicine and Dentistry | 17 | 18% |
| Computer Science | 6 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Other | 8 | 9% |
| Unknown | 19 | 20% |