Title |
The Pursuit of Therapeutic Biomarkers with High-Throughput Cancer Cell Drug Screens
|
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Published in |
Cell Chemical Biology, July 2017
|
DOI | 10.1016/j.chembiol.2017.06.011 |
Pubmed ID | |
Authors |
Steven P. Williams, Ultan McDermott |
Abstract |
In the last decade we have witnessed tremendous advances in our understanding of the landscape of the molecular alterations that underpin many of the most prevalent cancers, in the use of automated high-throughput platforms for high-throughput drug screens in cancer cells, in the creation of more clinically relevant cancer cell models, and lastly in the development of more useful computational approaches in the pursuit of biomarkers of drug response. Separately, each of these improvements will undoubtedly lead to improvements in the treatment of cancer patients but to fulfill the promise of truly personalized cancer medicine, we must bring these disciplines together in a truly multidisciplinary fashion. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 30% |
United States | 3 | 30% |
Germany | 1 | 10% |
Unknown | 3 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 50% |
Scientists | 4 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 53 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 25% |
Student > Ph. D. Student | 11 | 21% |
Student > Master | 5 | 9% |
Student > Bachelor | 4 | 8% |
Professor > Associate Professor | 3 | 6% |
Other | 6 | 11% |
Unknown | 11 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 8 | 15% |
Computer Science | 7 | 13% |
Agricultural and Biological Sciences | 6 | 11% |
Engineering | 4 | 8% |
Chemistry | 4 | 8% |
Other | 13 | 25% |
Unknown | 11 | 21% |