Abstract: A critical issue in the usage of cancer drugs is its association with various adverse events (AEs) in some, but not all, patients. The National Cancer Institute (NCI) Common Terminology Criteria for Adverse Events (CTCAE) is a controlled terminology for AE classification and analysis in cancer clinical trials. The Ontology of Adverse Events (OAE) is a community-based ontology in the domain of AEs. In this study, OAE was first updated by including AE severity grading and OAE-CTCAE mapping. An OAE subset containing CTCAE-related terms and their associated OAE terms was generated to facilitate term usage. A use case study based on a published cancer drug clinical trial demonstrates that OAE provides better hierarchical representation, includes semantic relations, and supports automated reasoning. Demonstrated with a single patient analysis, the OAE framework supports precision informatics for representing AEs and related genetic and clinical conditions in individual patients treated with cancer drugs.
Learning Objective 1: Use ontology-based methods to improve the representation and analysis of adverse events in patients treated with cancer drugs
Learning Objective 2: Map the National Cancer Institute (NCI) Common Terminology Criteria for Adverse Events (CTCAE) terminology to the Ontology of Adverse Events (OAE) to better support adverse event classification
Learning Objective 3: Use the Ontology of Adverse Events (OAE) framework to support precision informatics for representing adverse events in individual patients treated with cancer drugs.
Meiu Wong, University of Michigan
Rebecca Racz, University of Michigan
Edison Ong, University of Michigan
Yongqun He (Presenter)
University of Michigan