MTB-Report


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

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 

Next Talk:

Date: 25th of November, 10.30am 
Speaker: Charlotte Höltermann (Department of Medical Bioinformatics)
Title: "Application of MTB report in an analysis of in vitro T-cell lymphoma models"

Abstract: The advancement of the MTB Report during a 8 week practical course and the analysis of genomic data about T cell lymphoma from a wide range of publications. Presented are also methods of current and future wet lab analysis of the results from this dataset, specifically Gedatolisib, which have been done in a lab rotation at the UMG in Dr. Raphael Kochs AG. The analysis and preparation of this data is repeated and refined right now.

Location: https://meet.gwdg.de/b/jue-ywf-v93

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

Director

Prof. Dr. Tim Beißbarth

contact information

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