MTB-Report

Full project title

An automated data integration platform for interpreting genomic data and reporting treatment options in molecular tumor boards

Aims of this collaborative project

With growing knowledge of biomarkers and resent developments in sequencing techniques, nowaday genomic data is considered as extremely valuable and indispensable for the diagnosis and therapy recommendation particularly of tumor patients. The complexity of interpreting genomic data is hindering its application in the routine clinical context.
In the MTB-Report project the consortium aims to develop a tool to support the decision finding in a molecular tumor board (MTB). Biomarkers and other omics data from the patient will be compared to a multitude of available data bases in order to find case studies with a  parameter set equivalent to the patient’s one. Based on tumor type and certainty of the study an evidence level is assigned and used to propose the most relevant to the MTB in form a short report.

For access to the clinical data and to ensure data privacy the tool will be embedded in the IT-infrastructure. Clinical experts will define use cases for an optimal usage of the reporting tool and will validate the results.

Project partners

Institute of Medical Bioinformatics (UMG)

Prof. Tim Beißbart
Dr. Jürgen Dönitz

Institute of Medical Informatics

Prof Ulrich Sax

Department of Hematology and Medical Oncology

Prof. Annalen Bleckmann (now Münster University Hospital, UKM)
Dr. Raphael Koch

Press releases

Press release from the Volkswagenstiftung:
Big Data: 18 Millionen Euro für 16 innovative Projekte in den Lebenswissenschaften

Press release from the UMG:
Big Data in den Lebenswissenschaften der Zukunft“: Förderung von drei Forschungsgruppen von Universitätsmedizin Göttingen und Universität

Publications from preliminary work

Perera-Bel J., Leha A., Beißbarth T.
Bioinformatic Methods and  Resources for Biomarker Discovery, Validation, Development, and  Integration.
In: Badve S., Kumar G. (eds) Predictive Biomarkers in  Oncology. Springer, Cham. (2019)

Perera-Bel J, Hutter B, Heining C, Bleckmann A, Fröhlich M, Fröhling S, Glimm H, Brors B, Beißbarth T.
From somatic variants towards precision oncology: Evidence-driven reporting of treatment options in molecular tumor boards.
Genome  Med. 2018 Mar 15;10(1):18. doi:10.1186/s13073-018-0529-2. PubMed PMID: 29544535;

Contact data of the coordinator

Prof. Dr. Tim Beißbarth
Institute of Medical Bioinformatics
University Medical Center Göttingen,
Goldschmidtstr. 1,
37077 Göttingen
Phone: +49 551 39-14912