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

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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

Department of Medical Bioinformatics (UMG)

Prof. Tim Beißbart
Dr. Jürgen Dönitz

Department of Medical Informatics

Prof Ulrich Sax

Department of Hematology and Medical Oncology

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

Current theses offers

                         Current Theses Offers by the Institute of Medical Informatics

In the context of the MTB project, a Bachleor-/Master- theses is currently offered by the Institute of Medical Informatics: 

1. Topic: Comparison of current patient similarity searches using two example data sets

For more information, please see here: or contact Jonas Hügel: 

MTB-Report Seminar

The MTB-Report Seminar Series is a joint event of all partners and members of the MTB-Report project. Monthly, members of the different groups as well as invited speakers present their projects.

Unless announced otherwise, the seminar takes place monthly on the fourth Wednesday at 10.30am . Due to the SARS-CoV-2 related measures, the seminar takes place via video conference .

Coordination/Contact: Dr. Jürgen Dönitz 

Date: 28th of April 10.30 am

Speaker: Kevin Kornrumpf

Title: Analysis of the correlation between genetic background and drug response of a drug screen in t-cell lymphoma cell lines

Abstract: A drug screen describes the effect of drugs on different organisms. In this case, the selected organisms were cell lines causing T-cell lymphoma. Given a drug screen and genomic alterations (SNV, CNV and Fusion), the goal is to find a correlation between these variants and the response to a specific drug. This presentation will describe the analysis and results to this point for these data.


Former and upcoming Talks

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

contact information

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