Literature DB >> 26958275

tcTKB: an integrated cardiovascular toxicity knowledge base for targeted cancer drugs.

Rong Xu1, QuanQiu Wang2.   

Abstract

Targeted cancer drugs are often associated with unexpectedly high cardiovascular (CV) adverse events. Systematic approaches to studying CV events associated with targeted anticancer drugs have high potential for elucidating the complex pathways underlying targeted anti-cancer drugs. In this study, we built tcTKB, a comprehensive CV toxicity knowledge base for targeted cancer drugs, by extracting drug-CV pairs from five large-scale and complementary data sources. The data sources include FDA drug labels (44,979 labels), the FDA Adverse Event Reporting System (FAERS) (4,285,097 records), the Canada Vigilance Adverse Reaction Online Database (CVAROD) (1,107,752 records), published biomedical literature (21,354,075 records), and published full-text articles from the Journal of Oncology (JCO) (13,855 articles). tcTKB contains 14,351 drug-CV pairs for 45 targeted anticancer drugs and 1,842 CV events. We demonstrate that CV events positively correlate with drug target genes and drug metabolism genes, demonstrating that tcTKB in combination with other data resources, could facilitate our understanding of targeted anticancer drugs and their associated CV toxicities.

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Year:  2015        PMID: 26958275      PMCID: PMC4765587     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  19 in total

Review 1.  Unveiling the role of network and systems biology in drug discovery.

Authors:  Albert Pujol; Roberto Mosca; Judith Farrés; Patrick Aloy
Journal:  Trends Pharmacol Sci       Date:  2010-02-01       Impact factor: 14.819

2.  Automatic signal extraction, prioritizing and filtering approaches in detecting post-marketing cardiovascular events associated with targeted cancer drugs from the FDA Adverse Event Reporting System (FAERS).

Authors:  Rong Xu; Quanqiu Wang
Journal:  J Biomed Inform       Date:  2013-10-28       Impact factor: 6.317

3.  Large-scale automatic extraction of side effects associated with targeted anticancer drugs from full-text oncological articles.

Authors:  Rong Xu; QuanQiu Wang
Journal:  J Biomed Inform       Date:  2015-03-27       Impact factor: 6.317

4.  Automatic construction of a large-scale and accurate drug-side-effect association knowledge base from biomedical literature.

Authors:  Rong Xu; QuanQiu Wang
Journal:  J Biomed Inform       Date:  2014-06-10       Impact factor: 6.317

5.  Combining automatic table classification and relationship extraction in extracting anticancer drug-side effect pairs from full-text articles.

Authors:  Rong Xu; QuanQiu Wang
Journal:  J Biomed Inform       Date:  2014-10-13       Impact factor: 6.317

Review 6.  Cardiotoxicity of anticancer treatments: what the cardiologist needs to know.

Authors:  Michael S Ewer; Steven M Ewer
Journal:  Nat Rev Cardiol       Date:  2010-10       Impact factor: 32.419

Review 7.  Novel data-mining methodologies for adverse drug event discovery and analysis.

Authors:  R Harpaz; W DuMouchel; N H Shah; D Madigan; P Ryan; C Friedman
Journal:  Clin Pharmacol Ther       Date:  2012-06       Impact factor: 6.875

Review 8.  Reducing the toxicity of cancer therapy: recognizing needs, taking action.

Authors:  Charles S Cleeland; Jeff D Allen; Samantha A Roberts; Joanna M Brell; Sergio A Giralt; Aarif Y Khakoo; Rebecca A Kirch; Virginia E Kwitkowski; Zhongxing Liao; Jamey Skillings
Journal:  Nat Rev Clin Oncol       Date:  2012-07-03       Impact factor: 66.675

9.  Toward creation of a cancer drug toxicity knowledge base: automatically extracting cancer drug-side effect relationships from the literature.

Authors:  Rong Xu; QuanQiu Wang
Journal:  J Am Med Inform Assoc       Date:  2013-05-18       Impact factor: 4.497

Review 10.  Toxicity testing in the 21st century: a vision and a strategy.

Authors:  Steven Gibb
Journal:  Reprod Toxicol       Date:  2007-11-01       Impact factor: 3.143

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  1 in total

1.  Immunotherapy-related adverse events (irAEs): extraction from FDA drug labels and comparative analysis.

Authors:  QuanQiu Wang; Rong Xu
Journal:  JAMIA Open       Date:  2018-10-15
  1 in total

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