Professor Karmanos Cancer Institute Detroit, MI, United States
Disclosure(s):
Moray Campbell, PhD: No financial relationships to disclose
Hormone-dependent cancers involve complex networks that cannot be understood through reductionist approaches alone. This session explores how systems biology - from mathematical modeling to evolutionary dynamics and multi-omics integration - reveals emergent properties driving therapeutic response and resistance. Computational biologists demonstrate how integrating genomic, epigenomic, and clinical data enables predictive modeling for rational therapy design and identifying novel vulnerabilities.
Learning Objectives:
Apply systems biology approaches to integrate multi-omics data for predicting therapeutic response and resistance in hormone-dependent cancers
Interpret network-based analyses to identify key regulatory nodes and emergent properties in hormone receptor signaling pathways
Design computational strategies for rational combination therapy selection based on patient-specific molecular profiles
