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2020
Journal Article
Title
In silico signaling modeling to understand cancer pathways and treatment responses
Abstract
Precision medicine has changed thinking in cancer therapy, highlighting a better understanding of the individual clinical interventions. But what role do the drivers and pathways identified from pan-cancer genome analysis play in the tumor? In this letter, we will highlight the importance of in silico modeling in precision medicine. In the current era of big data, tumor engines and pathways derived from pan-cancer analysis should be integrated into in silico models to understand the mutational tumor status and individual molecular pathway mechanism at a deeper level. This allows to pre-evaluate the potential therapy response and develop optimal patient-tailored treatment strategies which pave the way to support precision medicine in the clinic of the future.
Author(s)
Kunz, Meik
Chair of Medical Informatics, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen, Germany
Jeromin, Julian
Functional Genomics and Systems Biology Group, Department of Bioinformatics, University of Würzburg, Würzburg, Germany
Fuchs, Maximilian
Functional Genomics and Systems Biology Group, Department of Bioinformatics, University of Würzburg, Würzburg, Germany
Christoph, Jan
Chair of Medical Informatics, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen, Germany
Flentje, Michael
Department of Radiation Oncology, University Hospital of Würzburg, Würzburg, Germany
Nietzer, Sarah
Chair of Tissue Engineering and Regenerative Medicine, University Hospital Wuerzburg, Wuerzburg, Germany