DrugCombo: an informatics bridge for anticancer drug combination Phase I trial design
Lei Wang1, Shijun Zhang1, Lai Wei1,2
1Department of Biomedical Informatics, The Ohio State University College of Medicine, 1800 Cannon Drive Columbus, OH 43210, United States.
Abstract:
The promise of combinational drug therapies for cancer is hindered by the high failure rate of Phase I trials, perhaps attributable to the inavailability of an integrated source of toxicity data for cancer drugs to aid clinicians and biostatisticians designing trials. To this end, we developed DrugCombo, a knowledge base that integrates drug toxicity along with other data for single drugs and drug combinations from various sources. We extracted drug toxicity data from drug labels using the Microsoft Research Bidirectional Encoder Representations from Transformers for Biomedical Text Mining (MSR BiomedBERT) and manually from PubMed. DrugCombo is the first such database to contain crucial data, such as maximum tolerable dose (MTD), dose-limiting toxicity (DLT), and dose range, for Phase I clinical trial design as well as pharmacokinetics evidence of drug interaction among cancer drugs. Currently, DrugCombo has integrated 8797 drug interactions from DrugBank; 3995 severe adverse drug events (ADEs) and 95 535 common ADEs from drug labels; 1 816 030 ADEs from United States Food and Drug Administration Adverse Event Reporting System; and MTD and DLTs from 2592 Phase I trials. Using these data, we retrospectively investigated a Phase I trial of axitinib and nivolumab in 12 patients. Exploring the toxicity profile of each drug, we recognized that the initial study design may have overlooked overlap toxicity between them, leading to possibly excessive starting doses and dose ranges of axitinib and nivolumab. DrugCombo provides a comprehensive resource of toxicity data that will assist researchers designing Phase I trials in selecting appropriate starting doses and dose ranges for successful outcomes. Database URL: http://drugcombo.info/.
Insights
DrugCombo is a new knowledge base integrating cancer drug toxicity data. This resource aids in designing Phase I clinical trials by providing crucial information on maximum tolerable dose and dose-limiting toxicity, aiming to reduce trial failures.
Area of Science:
- Oncology
- Pharmacology
- Bioinformatics
Background:
- Combinational drug therapies for cancer show promise but face high Phase I trial failure rates.
- A key challenge is the lack of integrated toxicity data for cancer drugs.
- This hinders effective trial design for clinicians and biostatisticians.
Purpose of the Study:
- To develop DrugCombo, a comprehensive knowledge base of integrated drug toxicity data for cancer drugs.
- To facilitate the design of Phase I clinical trials by providing essential toxicity information.
- To improve the success rate of combinational cancer drug therapies.
Main Methods:
- Integrated drug toxicity data from multiple sources including drug labels and PubMed.
- Utilized Microsoft Research Bidirectional Encoder Representations from Transformers for Biomedical Text Mining (MSR BiomedBERT) for data extraction.
- Included data such as maximum tolerable dose (MTD), dose-limiting toxicity (DLT), dose range, and pharmacokinetic interactions.
Main Results:
- DrugCombo integrates data from DrugBank, drug labels, FDA Adverse Event Reporting System, and Phase I trials.
- Contains 8,797 drug interactions, 3,995 severe ADEs, 95,535 common ADEs, 1,816,030 ADEs, and MTD/DLTs from 2,592 trials.
- A retrospective analysis of an axitinib and nivolumab trial highlighted potential issues with initial dose selection due to overlooked toxicity overlap.
Conclusions:
- DrugCombo is the first database to offer integrated MTD, DLT, and dose range data for Phase I trial design.
- The resource aids researchers in selecting appropriate starting doses and ranges.
- This comprehensive toxicity data aims to enhance the success of future cancer clinical trials.
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