| Title |
A Pilot Study Using Next-Generation Sequencing in Advanced Cancers: Feasibility and Challenges
|
|---|---|
| Published in |
PLOS ONE, October 2013
|
| DOI | 10.1371/journal.pone.0076438 |
| Pubmed ID | |
| Authors |
Glen J. Weiss, Winnie S. Liang, Michael J. Demeure, Jeff A. Kiefer, Galen Hostetter, Tyler Izatt, Shripad Sinari, Alexis Christoforides, Jessica Aldrich, Ahmet Kurdoglu, Lori Phillips, Hollie Benson, Rebecca Reiman, Angela Baker, Vickie Marsh, Daniel D. Von Hoff, John D. Carpten, David W. Craig |
| Abstract |
New anticancer agents that target a single cell surface receptor, up-regulated or amplified gene product, or mutated gene, have met with some success in treating advanced cancers. However, patients' tumors still eventually progress on these therapies. If it were possible to identify a larger number of targetable vulnerabilities in an individual's tumor, multiple targets could be exploited with the use of specific therapeutic agents, thus possibly giving the patient viable therapeutic alternatives. |
X Demographics
The data shown below were collected from the profiles of 17 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 | 10 | 59% |
| Belgium | 2 | 12% |
| Spain | 1 | 6% |
| Australia | 1 | 6% |
| Unknown | 3 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 65% |
| Scientists | 5 | 29% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 7% |
| Japan | 1 | 2% |
| Unknown | 40 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 23% |
| Student > Doctoral Student | 6 | 14% |
| Student > Bachelor | 6 | 14% |
| Student > Ph. D. Student | 5 | 11% |
| Professor | 2 | 5% |
| Other | 7 | 16% |
| Unknown | 8 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 25% |
| Agricultural and Biological Sciences | 7 | 16% |
| Biochemistry, Genetics and Molecular Biology | 6 | 14% |
| Psychology | 3 | 7% |
| Computer Science | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 12 | 27% |