Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

CancerDrugs_DB

General information

URL: http://www.redo-project.org/cancer-drugs-db
Full name:
Description: CancerDrugs_DB is a curated listing of licensed cancer drugs produced by the Anticancer Fund. Source data comes from the NCI, FDA, EMA and other data sources. The intention is to provide researchers, clinicians and regulators with an easily filtered database of licensed drugs used in the treatment of cancer. Drugs which are used in cancer treatments to alleviate symptoms or other supportive care uses or which are used for diagnostic purposes are not included. Investigational agents and experimental treatments being used in clinical trials are also not included.
Year founded: 2021
Last update:
Version:
Accessibility:
Accessible
Country/Region: Belgium

Classification & Tag

Data type:
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Keywords:

Contact information

University/Institution: Anticancer Fund
Address:
City:
Province/State:
Country/Region: Belgium
Contact name (PI/Team): Pan Pantziarka
Contact email (PI/Helpdesk): anticancer.org.uk@gmail.com

Publications

33776770
An Open Access Database of Licensed Cancer Drugs. [PMID: 33776770]
Pan Pantziarka, Rica Capistrano I, Arno De Potter, Liese Vandeborne, Gauthier Bouche

A global, comprehensive and open access listing of approved anticancer drugs does not currently exist. Partial information is available from multiple sources, including regulatory authorities, national formularies and scientific agencies. Many such data sources include drugs used in oncology for supportive care, diagnostic or other non-antineoplastic uses. We describe a methodology to combine and cleanse relevant data from multiple sources to produce an open access database of drugs licensed specifically for therapeutic antineoplastic purposes. The resulting list is provided as an open access database, (http://www.redo-project.org/cancer-drugs-db/), so that it may be used by researchers as input for further research projects, for example literature-based text mining for drug repurposing.

Front Pharmacol. 2021:12() | 35 Citations (from Europe PMC, 2025-12-20)

Ranking

All databases:
1650/6895 (76.084%)
Health and medicine:
404/1738 (76.812%)
1650
Total Rank
33
Citations
8.25
z-index

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Not Rated
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Record metadata

Created on: 2022-04-21
Curated by:
Lin Liu [2022-08-31]
Lin Liu [2022-06-10]
Jing Wei [2022-05-14]
Yuxin Qin [2022-04-21]