Title |
Candidate cancer-targeting agents identified by expression-profiling arrays
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Published in |
OncoTargets and therapy, April 2013
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DOI | 10.2147/ott.s42858 |
Pubmed ID | |
Authors |
Vittavat Termglinchan, Wachiraporn Wanichnopparat, Kulachanya Suwanwongse, Chunhakarn Teeyapant, Kanticha Chatpermporn, Kanchana Leerunyakul, Khwanruthai Chuadpia, Onpailin Sirimaneethum, Parinya Wijitworawong, Wattanakitch Mutirangura, Chatchawit Aporntewan, Chanida Vinayanuwattikun, Apiwat Mutirangura |
Abstract |
One particularly promising component of personalized medicine in cancer treatment is targeted therapy, which aims to maximize therapeutic efficacy while minimizing toxicity. However, the number of approved targeted agents remains limited. Expression microarray data for different types of cancer are resources to identify genes that were upregulated. The genes are candidate targets for cancer-targeting agents for future anticancer research and targeted treatments. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 33% |
Researcher | 2 | 17% |
Student > Master | 2 | 17% |
Professor | 1 | 8% |
Librarian | 1 | 8% |
Other | 1 | 8% |
Unknown | 1 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 58% |
Agricultural and Biological Sciences | 2 | 17% |
Social Sciences | 1 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
Unknown | 1 | 8% |