Predicting therapy resistance in human cancer (C03)

• Subject Area: Evolutionary Cell and Developmental Biology (Zoology)
• Term: since 2022
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 325931972

This project builds on previous work on hallmarks of tumor evolution to therapy resistance. We will investigate the predictability of resistance trajectories and the characteristics of resistant cancers across three tumor entities - lymphoma, lung, and colorectal cancer. We will compare therapy-naïve samples that will or will not respond to treatment. By combining genomic, transcriptomic, and AI-analyzed histopathological data, the goal is to develop a clinically relevant predictor of cancer resistance to systemic therapies.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1310: Predictability in Evolution
• Applicant Institution: Universität zu Köln
• Project Heads: Professorin Dr. Katarzyna Bozek, since 1/2022; Professor Dr. Reinhard Büttner, since 1/2022