Using computational strategies to predict potential drugs for nasopharyngeal carcinoma. Issue 10 (18th November 2013)
- Record Type:
- Journal Article
- Title:
- Using computational strategies to predict potential drugs for nasopharyngeal carcinoma. Issue 10 (18th November 2013)
- Main Title:
- Using computational strategies to predict potential drugs for nasopharyngeal carcinoma
- Authors:
- Lan, Ming‐Ying
Yang, Wu‐Lung R.
Lin, Kuan‐Ting
Lin, Jin‐Ching
Shann, Yih‐Jyh
Ho, Ching‐Yin
Huang, Chi‐Ying F. - Abstract:
- <abstract abstract-type="main"> <title>Abstract</title> <sec id="hed23464-sec-0001" sec-type="section"> <title>Background</title> <p>Nasopharyngeal carcinoma (NPC) is a unique cancer. Refinement of current therapy by discovering potential drugs may be approached by several computational strategies.</p> </sec> <sec id="hed23464-sec-0002" sec-type="section"> <title>Methods</title> <p>We collected NPC genes from published microarray data and the literature. The NPC disease network was constructed via a protein‐protein interaction (PPI) network. The Connectivity Map (CMap) was used to predict potential chemicals, and support vector machines (SVMs) were further utilized to classify the effectiveness of tested drugs against NPC using their gene expression from CMap.</p> </sec> <sec id="hed23464-sec-0003" sec-type="section"> <title>Results</title> <p>A highly interconnected network was obtained. Several chemically sensitive genes were identified and 87 drugs were predicted with the potential for treating NPC by SVM, in which nearly half of them have anticancer effects according to the literature. The 2 top‐ranked drugs, thioridazine and vorinostat, were demonstrated to be effective in inhibiting NPC cells.</p> </sec> <sec id="hed23464-sec-0004" sec-type="section"> <title>Conclusion</title> <p>This in silico approach provides a promising strategy for screening potential therapeutic drugs for NPC treatment. © 2013 Wiley Periodicals, Inc. <italic>Head Neck</italic>, 36: 1398–1407,<abstract abstract-type="main"> <title>Abstract</title> <sec id="hed23464-sec-0001" sec-type="section"> <title>Background</title> <p>Nasopharyngeal carcinoma (NPC) is a unique cancer. Refinement of current therapy by discovering potential drugs may be approached by several computational strategies.</p> </sec> <sec id="hed23464-sec-0002" sec-type="section"> <title>Methods</title> <p>We collected NPC genes from published microarray data and the literature. The NPC disease network was constructed via a protein‐protein interaction (PPI) network. The Connectivity Map (CMap) was used to predict potential chemicals, and support vector machines (SVMs) were further utilized to classify the effectiveness of tested drugs against NPC using their gene expression from CMap.</p> </sec> <sec id="hed23464-sec-0003" sec-type="section"> <title>Results</title> <p>A highly interconnected network was obtained. Several chemically sensitive genes were identified and 87 drugs were predicted with the potential for treating NPC by SVM, in which nearly half of them have anticancer effects according to the literature. The 2 top‐ranked drugs, thioridazine and vorinostat, were demonstrated to be effective in inhibiting NPC cells.</p> </sec> <sec id="hed23464-sec-0004" sec-type="section"> <title>Conclusion</title> <p>This in silico approach provides a promising strategy for screening potential therapeutic drugs for NPC treatment. © 2013 Wiley Periodicals, Inc. <italic>Head Neck</italic>, 36: 1398–1407, 2014</p> </sec> </abstract> … (more)
- Is Part Of:
- Head & neck. Volume 36:Issue 10(2014:Oct.)
- Journal:
- Head & neck
- Issue:
- Volume 36:Issue 10(2014:Oct.)
- Issue Display:
- Volume 36, Issue 10 (2014)
- Year:
- 2014
- Volume:
- 36
- Issue:
- 10
- Issue Sort Value:
- 2014-0036-0010-0000
- Page Start:
- 1398
- Page End:
- 1407
- Publication Date:
- 2013-11-18
- Subjects:
- Head -- Diseases -- Periodicals
Neck -- Diseases -- Periodicals
Head -- Periodicals
Neck -- Periodicals
Face -- Periodicals
617.51059 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1097-0347 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/hed.23464 ↗
- Languages:
- English
- ISSNs:
- 1043-3074
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4274.608500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 3111.xml