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In silico signaling modeling to understand cancer pathways and treatment responses.

Authors :
Kunz, Meik
Jeromin, Julian
Fuchs, Maximilian
Christoph, Jan
Veronesi, Giulia
Flentje, Michael
Nietzer, Sarah
Dandekar, Gudrun
Dandekar, Thomas
Source :
Briefings in Bioinformatics. May2020, Vol. 21 Issue 3, p1115-1117. 3p.
Publication Year :
2020

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14675463
Volume :
21
Issue :
3
Database :
Academic Search Index
Journal :
Briefings in Bioinformatics
Publication Type :
Academic Journal
Accession number :
143456484
Full Text :
https://doi.org/10.1093/bib/bbz033