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Published on: May 17, 2019
Effectively utilizing publicly available databases for cancer target evaluation
Daniel Croft1, Puja Lodhia2, Sofia Lourenco2
1Cancer Research Horizons, The Cancer Research UK Beatson Institute, Glasgow, G61 1BD, UK.
Abstract:
The majority of compounds designed against cancer drug targets do not progress to become approved drugs, mainly due to lack of efficacy and/or unmanageable toxicity. Robust target evaluation is therefore required before progressing through the drug discovery process to reduce the high attrition rate. There are a wealth of publicly available databases that can be mined to generate data as part of a target evaluation. It can, however, be challenging to learn what databases are available, how and when they should be used, and to understand the associated limitations. Here, we have compiled and present key, freely accessible and easy-to-use databases that house informative datasets from in vitro, in vivo and clinical studies. We also highlight comprehensive target review databases that aim to bring together information from multiple sources into one-stop portals. In the post-genomics era, a key objective is to exploit the extensive cell, animal and patient characterization datasets in order to deliver precision medicine on a patient-specific basis. Effective utilization of the highlighted databases will go some way towards supporting the cancer research community achieve these aims.
Insights
Discovering effective cancer drugs requires robust target evaluation to reduce failure rates. This study highlights key, accessible databases for mining crucial data from various studies to aid precision medicine development.
Area of Science:
- Oncology
- Drug Discovery
- Bioinformatics
Background:
- Most cancer drug candidates fail due to poor efficacy or toxicity.
- Effective target evaluation is crucial to minimize attrition in drug discovery.
- Publicly available databases offer valuable data for target evaluation but can be challenging to navigate.
Purpose of the Study:
- To compile and present key, freely accessible databases for cancer target evaluation.
- To guide researchers on the use and limitations of these databases.
- To support the development of precision medicine in oncology.
Main Methods:
- Literature review and compilation of publicly available databases.
- Categorization of databases based on data type (in vitro, in vivo, clinical).
- Identification of comprehensive target review databases.
Main Results:
- A curated list of accessible databases for cancer target evaluation is presented.
- Databases housing in vitro, in vivo, and clinical study data are highlighted.
- One-stop portals consolidating information from multiple sources are identified.
Conclusions:
- Utilizing these highlighted databases can significantly aid cancer target evaluation.
- Effective database mining supports the advancement of precision medicine.
- This resource aims to reduce the high attrition rate in cancer drug discovery.
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