{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,27]],"date-time":"2025-09-27T10:59:49Z","timestamp":1758970789709},"reference-count":52,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2013,11,18]],"date-time":"2013-11-18T00:00:00Z","timestamp":1384732800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Head &amp; Neck"],"published-print":{"date-parts":[[2014,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Nasopharyngeal carcinoma (NPC) is a unique cancer. Refinement of current therapy by discovering potential drugs may be approached by several computational strategies.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We collected NPC genes from published microarray data and the literature. The NPC disease network was constructed via a protein\u2010protein 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats: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\u2010ranked drugs, thioridazine and vorinostat, were demonstrated to be effective in inhibiting NPC cells.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>This in silico approach provides a promising strategy for screening potential therapeutic drugs for NPC treatment. \u00a9 2013 Wiley Periodicals, Inc. <jats:italic>Head Neck<\/jats:italic>, 36: 1398\u20131407, 2014<\/jats:p><\/jats:sec>","DOI":"10.1002\/hed.23464","type":"journal-article","created":{"date-parts":[[2013,8,22]],"date-time":"2013-08-22T21:19:35Z","timestamp":1377206375000},"page":"1398-1407","source":"Crossref","is-referenced-by-count":12,"title":["Using computational strategies to predict potential drugs for nasopharyngeal carcinoma"],"prefix":"10.1002","volume":"36","author":[{"given":"Ming\u2010Ying","family":"Lan","sequence":"first","affiliation":[{"name":"Division of Rhinology Department of Otolaryngology Head and Neck Surgery Taipei Veterans General Hospital Taipei Taiwan"},{"name":"Institute of Clinical Medicine National Yang\u2010Ming University Taipei Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wu\u2010Lung R.","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kuan\u2010Ting","family":"Lin","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Informatics National Yang\u2010Ming University Taipei Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jin\u2010Ching","family":"Lin","sequence":"additional","affiliation":[{"name":"Institute of Clinical Medicine National Yang\u2010Ming University Taipei Taiwan"},{"name":"Department of Radiation Oncology Taichung Veterans General Hospital Taichung Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yih\u2010Jyh","family":"Shann","sequence":"additional","affiliation":[{"name":"Institute of Biopharmaceutical Sciences National Yang\u2010Ming University Taipei Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ching\u2010Yin","family":"Ho","sequence":"additional","affiliation":[{"name":"Division of Rhinology Department of Otolaryngology Head and Neck Surgery Taipei Veterans General Hospital Taipei Taiwan"},{"name":"School of Medicine National Yang\u2010Ming University Taipei Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chi\u2010Ying F.","family":"Huang","sequence":"additional","affiliation":[{"name":"Institute of Clinical Medicine National Yang\u2010Ming University Taipei Taiwan"},{"name":"Institute of Biomedical Informatics National Yang\u2010Ming University Taipei Taiwan"},{"name":"Institute of Biopharmaceutical Sciences National Yang\u2010Ming University Taipei Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2013,11,18]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1476-4598-6-1","article-title":"Nasopharyngeal carcinoma: molecular biomarker discovery and progress","volume":"6","author":"Cho WC","year":"2007","journal-title":"Mol Cancer"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-92810-2"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1017\/S1462399407000312"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/hed.20833"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1158\/1535-7163.MCT-09-0966"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-10-114"},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btq675"},{"key":"e_1_2_6_9_1","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-4-2"},{"key":"e_1_2_6_10_1","first-page":"716","article-title":"Characterization of seven newly established nasopharyngeal carcinoma cell lines","volume":"68","author":"Lin CT","year":"1993","journal-title":"Lab Invest"},{"key":"e_1_2_6_11_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.1132939"},{"key":"e_1_2_6_12_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0506580102"},{"key":"e_1_2_6_13_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012487302797"},{"key":"e_1_2_6_14_1","doi-asserted-by":"publisher","DOI":"10.1186\/gb-2004-5-10-r80"},{"key":"e_1_2_6_15_1","unstructured":"Development Core Team R: a language and environment for statistical computing. 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