An automated data integration platform for interpreting genomic data and reporting treatment options in molecular tumor boards (MTB-Report)

Basic data for this project

Description

The use of biomarkers based on new sequencing approaches and other omics data has the potential to markedly influence the diagnosis and therapy in tumor medicine. Individual tumor subtypes can be identified using biomarkers or by looking at specific gene variations. Which treatments already have been successfully applied in cases with similar parameters can be extracted from various clinical studies and literature information. In this project the scientists will develop a tool to summarize this kind of data in order to facilitate to integrate this new kind of information and this large amount of data into the clinical routine. The tool will summarize the information from a set of data sources and deduce options for treatments based on the level of evidence for each data set. The tool will be integrated into a knowledge management system of the University Medical Center Göttingen (UMG) to provide access to the new tool by a user-friendly interface. The implemented method will be validated and improved with the help of the expertise and data of the Göttingen Comprehensive Cancer Center (G-CCC). The developed method and program will be open source and published to boost further development in the domain of molecular tumor boards.