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Published on: May 17, 2019
A comprehensive tool for tumor precision medicine with pharmaco-omics data analysis
Yijun Liu1, Fuhu Song1, Zhi Li2
1School of Artificial Intelligence, Jilin University, Changchun, China.
Abstract:
Background: Cancer precision medicine is an effective strategy to fight cancers by bridging genomics and drug discovery to provide specific treatment for patients with different genetic characteristics. Although some public databases and modelling frameworks have been developed through studies on drug response, most of them only considered the ramifications of the drug on the cell line and the effects on the patient still require a huge amount of work to integrate data from various databases and calculations, especially concerning precision treatment. Furthermore, not only efficacy but also the adverse effects of drugs on patients should be taken into account during cancer treatment. However, the adverse effects as essential indicators of drug safety assessment are always neglected. Method: A holistic estimation explores various drugs' efficacy levels by calculating their potency both in reversing and enhancing cancer-associated gene expression change. And a method for bridging the gap between cell culture and living tissue estimates the effectiveness of a drug on individual patients through the mappings of various cell lines to each person according to their genetic mutation similarities. Result: We predicted the efficacy of FDA-recommended drugs, taking into account both efficacy and toxicity, and obtained consistent results. We also provided an intuitive and easy-to-use web server called DBPOM (http://www.dbpom.net/, a comprehensive database of pharmaco-omics for cancer precision medicine), which not only integrates the above methods but also provides calculation results on more than 10,000 small molecule compounds and drugs. As a one-stop web server, clinicians and drug researchers can also analyze the overall effect of a drug or a drug combination on cancer patients as well as the biological functions that they target. DBPOM is now public, free to use with no login requirement, and contains all the data and code. Conclusion: Both the positive and negative effects of drugs during precision treatment are essential for practical application of drugs. DBPOM based on the two effects will become a vital resource and analysis platform for drug development, drug mechanism studies and the discovery of new therapies.
Insights
This study introduces DBPOM, a novel web server for cancer precision medicine. It predicts drug efficacy and toxicity by integrating genomics and drug response data, aiding personalized cancer treatment strategies.
Area of Science:
- Genomics
- Pharmacology
- Bioinformatics
Background:
- Cancer precision medicine integrates genomics and drug discovery for tailored patient treatments.
- Existing drug response databases often overlook patient-specific effects and drug toxicity.
- Adverse drug effects are critical for safety assessment but are frequently neglected in current models.
Purpose of the Study:
- To develop a holistic estimation of drug efficacy and toxicity for cancer precision medicine.
- To bridge the gap between cell line data and individual patient responses using genetic similarities.
- To create a comprehensive, user-friendly web server for analyzing drug effects in cancer.
Main Methods:
- Calculating drug potency in reversing/enhancing cancer-associated gene expression changes.
- Mapping cell lines to individual patients based on genetic mutation similarities for personalized effectiveness prediction.
- Integrating efficacy and toxicity predictions for FDA-recommended cancer drugs.
Main Results:
- Consistent predictions of drug efficacy and toxicity were obtained for FDA-recommended drugs.
- The DBPOM web server (http://www.dbpom.net/) was developed, offering integrated analysis of over 10,000 compounds.
- DBPOM provides a platform for analyzing drug/drug combination effects and targeted biological functions.
Conclusions:
- Considering both positive and negative drug effects is crucial for practical cancer precision medicine.
- DBPOM serves as a vital resource for drug development, mechanism studies, and novel therapy discovery.
- The web server facilitates analysis for clinicians and researchers, advancing personalized cancer care.
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