PN2-1A

Data-integrated modeling to provide novel solutions for individualizing cancer therapy and predicting treatment success

Project Description

We will develop novel data-integrated solutions to address the gap between the molecular understanding of network-coded death decisions in cancer cells and their higher scale consequences on patient outcome. For this, we will build on preparatory work in which we demonstrated that prototype mathematical models of cell death commitment at the level of the Bcl-2 protein family and at the level of multi-protein apoptosome timers hold potential to predict the responses of cancer cells to established and novel therapeutics, and possibly to predict clinical patient outcome. Linked with the systems-theoretical and technological challenges addressed in PN2-1B, we will thereby obtain novel, translationally relevant systems medicine tools for the prediction of treatment success in heterogeneous cancers.

Project Information

Project Number PN2-1A
Project Name Data-integrated modeling to provide novel solutions for individualizing cancer therapy and predicting treatment success
Project Duration July 2019 - December 2022
Project Leader Markus Morrison
Project Members Nicole Radde
Cristiano Gutta, PhD Researcher
Gavin Fullstone, PostDoc
Project Partners PN2-1B
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