ICB Seminar


A data-driven approach to discover novel biomarkers by investigating complex immune cell patterns in multiple tissue sections stained for immuno-oncology markers

Katharina Nekolla & Ralf Schönmeyer, Senior Research Scientists at Definiens AG, Munich

Monday, January 28st, 2019, 11:30 am, Seminar Room 121, Building 58a
Invited by Carsten Marr
Being part of the BMBF-funded research consortium SYSIMIT, which follows a disease-overarching interdisciplinary systems medicine approach to investigate the prognostic potential of human biopsy samples in transplantation medicine and immuno-oncology, we present some results of our work.
The distribution of immune cells and their relation to tumor cells carry a wealth of information and for biomarker discovery, new software tools are required to mine and visualize the enormous amount of spatially resolved data produced by automated image analysis of tissue slides.
A novel approach is presented to interactively investigate immunohistochemistry-based data with respect to clinical data by combining machine learning and data mining techniques with advanced visualization, enabling human observers to capture complex patterns of the inflammatory tumor microenvironment.
Using a series of biopsy and surgical resection samples from a cohort of triple negative breast cancer patients, we illustrate the potential of our data-driven approach to identify clinically relevant immune profiles and thereby deepen our understanding of the underlying biological mechanisms.
About Definiens
The Definiens mission is to accelerate drug development in immuno-oncology by supporting scientists to deepen their understanding of disease biology, to bring multi-omics data into a cancer-relevant context, and to facilitate the translation of new biological insights into novel therapies and immuno-oncology treatment strategies.

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