| Title |
Genomic Grade Index (GGI): Feasibility in Routine Practice and Impact on Treatment Decisions in Early Breast Cancer
|
|---|---|
| Published in |
PLOS ONE, August 2013
|
| DOI | 10.1371/journal.pone.0066848 |
| Pubmed ID | |
| Authors |
Otto Metzger-Filho, Aurélie Catteau, Stefan Michiels, Marc Buyse, Michail Ignatiadis, Kamal S. Saini, Evandro de Azambuja, Virginie Fasolo, Sihem Naji, Jean Luc Canon, Paul Delrée, Michel Coibion, Pino Cusumano, Veronique Jossa, Jean Pierre Kains, Denis Larsimont, Vincent Richard, Daniel Faverly, Nathalie Cornez, Peter Vuylsteke, Brigitte Vanderschueren, Hélène Peyro-Saint-Paul, Martine Piccart, Christos Sotiriou |
| Abstract |
Genomic Grade Index (GGI) is a 97-gene signature that improves histologic grade (HG) classification in invasive breast carcinoma. In this prospective study we sought to evaluate the feasibility of performing GGI in routine clinical practice and its impact on treatment recommendations. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Portugal | 1 | 2% |
| France | 1 | 2% |
| Unknown | 50 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 19% |
| Student > Master | 8 | 15% |
| Other | 6 | 11% |
| Student > Ph. D. Student | 6 | 11% |
| Student > Bachelor | 4 | 8% |
| Other | 12 | 23% |
| Unknown | 7 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 30% |
| Biochemistry, Genetics and Molecular Biology | 9 | 17% |
| Agricultural and Biological Sciences | 7 | 13% |
| Mathematics | 3 | 6% |
| Computer Science | 3 | 6% |
| Other | 5 | 9% |
| Unknown | 10 | 19% |