ClinicalOmicsDB: exploring molecular associations of oncology drug responses in clinical trials.

ABSTRACT: Matching patients to optimal treatment is challenging, in part due to the limited availability of real-world clinical datasets for predictive biomarker identification. The growing integration of omics profiling into clinical trials presents a new opportunity to tackle this challenge. Here, we introduce ClinicalOmicsDB, a web application for exploring molecular associations of oncology drug responses in clinical trials. This database includes transcriptomic data from 40 clinical trial studies, with 5913 patients spanning 11 cancer types. These studies include 67 treatment arms with a variety of chemotherapy, targeted therapy and immunotherapy drugs, and their combinations, which we organize based on an established ontology for easier navigation. The web application provides users with three

SUBMITTER: Moon CI 

PROVIDER: S-EPMC10767859 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature