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Discovery of Noncancer Drug Effects on Survival in Electronic Health Records of Patients With Cancer: A New Paradigm for Drug Repurposing
Author(s) -
Yonghui Wu,
Jeremy L. Warner,
Liwei Wang,
Min Jiang,
Jun Xu,
Qingxia Chen,
Hui Nian,
Qi Dai,
Xianglin L. Du,
Ping Yang,
Joshua C. Denny,
Hongfang Liu,
Hua Xu
Publication year - 2019
Publication title -
jco clinical cancer informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.188
H-Index - 12
ISSN - 2473-4276
DOI - 10.1200/cci.19.00001
Subject(s) - drug repositioning , drug , repurposing , health records , cancer , drug discovery , cancer drugs , medicine , drug response , pharmacology , bioinformatics , biology , health care , ecology , economics , economic growth
Drug development is becoming increasingly expensive and time consuming. Drug repurposing is one potential solution to accelerate drug discovery. However, limited research exists on the use of electronic health record (EHR) data for drug repurposing, and most published studies have been conducted in a hypothesis-driven manner that requires a predefined hypothesis about drugs and new indications. Whether EHRs can be used to detect drug repurposing signals is not clear. We want to demonstrate the feasibility of mining large, longitudinal EHRs for drug repurposing by detecting candidate noncancer drugs that can potentially be used for the treatment of cancer.

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