Summary
Develop a precision oncology decision support framework for automated, scalable, and precise matching of actionable next-generation sequencing findings with targeted therapies, and test its clinical utility in various clinical settings.
Matching genotypes with personalized therapies: Development of a decision support infrastructure to augment the value of precision medicine
US · IL
NIH
grant
open
#nih-5U01CA274631-03
What they want
The project aims to link clinical with computational precision oncology to enable clinical decision-making in genomically defined groups. This involves developing a precision oncology decision support framework for automated, scalable, and precise matching of actionable next-generation sequencing (NGS) findings with targeted therapies. The framework's clinical utility and value will be tested within the Johns Hopkins Molecular Tumor Board, Johns Hopkins partnering community medical centers, and two ongoing clinical trials for women with breast cancer. The platform's architecture is designed to ingest and harmonize NGS data from multiple sources, implement a common data model to map clinical elements to standardized terminologies, and leverage ensemble natural language processing to generate actionable mutation-targeted therapy pairs.
Deliverables
- A precision oncology decision support framework
- An analytical toolkit/platform architecture for genomic data analysis
Technical requirements
- Automated, scalable, and precise matching of actionable next-generation sequencing findings with targeted therapies
- Platform architecture allowing for ingestion and harmonization of next-generation sequence data from multiple sources
- Implementation of a common data model to map clinical elements to standardized terminologies
- Leveraging ensemble natural language processing to generate actionable mutation-targeted therapy pairs
