{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T20:14:49Z","timestamp":1785528889768,"version":"3.56.0"},"reference-count":24,"publisher":"Oxford University Press (OUP)","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013,3,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: Research interests in microRNAs have increased rapidly in the past decade. Many studies have showed that microRNAs have close relationships with various human cancers, and they potentially could be used as cancer indicators in diagnosis or as a suppressor for treatment purposes. There are several databases that contain microRNA\u2013cancer associations predicted by computational methods but few from empirical results. Despite the fact that abundant experiments investigating microRNA expressions in cancer cells have been carried out, the results have remain scattered in the literature. We propose to extract microRNA\u2013cancer associations by text mining and store them in a database called miRCancer.<\/jats:p>\n               <jats:p>Results: The text mining is based on 75 rules we have constructed, which represent the common sentence structures typically used to state microRNA expressions in cancers. The microRNA\u2013cancer association database, miRCancer, is updated regularly by running the text mining algorithm against PubMed. All miRNA\u2013cancer associations are confirmed manually after automatic extraction. miRCancer currently documents 878 relationships between 236 microRNAs and 79 human cancers through the processing of &amp;gt;26 000 published articles.<\/jats:p>\n               <jats:p>Availability: miRCancer is freely available on the web at http:\/\/mircancer.ecu.edu\/<\/jats:p>\n               <jats:p>Contact: \u00a0dingq@ecu.edu<\/jats:p>","DOI":"10.1093\/bioinformatics\/btt014","type":"journal-article","created":{"date-parts":[[2013,1,17]],"date-time":"2013-01-17T07:02:12Z","timestamp":1358406132000},"page":"638-644","source":"Crossref","is-referenced-by-count":522,"title":["miRCancer: a microRNA\u2013cancer association database constructed by text mining on literature"],"prefix":"10.1093","volume":"29","author":[{"given":"Boya","family":"Xie","sequence":"first","affiliation":[{"name":"1 Department of Computer Science, East Carolina University, Greenville, NC 27858 and 2Department of Physiology, Brody School of Medicine, East Carolina University, Greenville, NC 27834, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qin","family":"Ding","sequence":"additional","affiliation":[{"name":"1 Department of Computer Science, East Carolina University, Greenville, NC 27858 and 2Department of Physiology, Brody School of Medicine, East Carolina University, Greenville, NC 27834, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongjin","family":"Han","sequence":"additional","affiliation":[{"name":"1 Department of Computer Science, East Carolina University, Greenville, NC 27858 and 2Department of Physiology, Brody School of Medicine, East Carolina University, Greenville, NC 27834, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Di","family":"Wu","sequence":"additional","affiliation":[{"name":"1 Department of Computer Science, East Carolina University, Greenville, NC 27858 and 2Department of Physiology, Brody School of Medicine, East Carolina University, Greenville, NC 27834, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2013,1,16]]},"reference":[{"key":"2023051607330468700_btt014-B1","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1126\/science.1091903","article-title":"MicroRNAs modulate hematopoietic lineage differentiation","volume":"303","author":"Chen","year":"2004","journal-title":"Science"},{"key":"2023051607330468700_btt014-B2","doi-asserted-by":"crossref","first-page":"839","DOI":"10.1016\/j.jbi.2011.05.002","article-title":"miRWalk\u2013database: prediction of possible miRNA binding sites by \u201cwalking\u201d the genes of three genomes","volume":"44","author":"Dweep","year":"2011,","journal-title":"J. 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