Optimized drug combinations for effective cancer treatment: a personalized approach (OPTIM)

ERC-St-Grant-2015 to Prof. Patrycja Nowak-Sliwinska


      This project aims to improve the treatment of colorectal carcinoma (CRC), as treatment options after first line chemotherapy are desperately needed. The key to improvement of cancer therapy resides in optimal combination of drugs. Optimally combining drugs is non-trivial due to the large number of possibilities, especially when more than two drugs are combined at various doses. In the current research program it was propose to use a differential evolution guided stochastic search algorithm to guide the way in finding optimal combination therapies.

     A new screen for optimal targeted combination treatment of advanced CRC will be performed. A series of 7 genetically different human CRC cell lines will be used in this screen, thus simulating personalized treatment. The optimized combinations will be  translated into preclinical CRC mouse models and tested in parallel to standard chemotherapy regimens. Development of a method for a personalized screen using freshly isolated tumor cells will prepare the technology for application in the clinic.



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