SY44 - From Data to Discovery: Computational Approaches in Hormone-Dependent Cancers

Symposium Chair(s)

• NG

  Noelle Gillis, PhD (she/her/hers)

  Faculty Scientist
  Pharmacology
  UNIVERSITY OF VERMONT AND
  Burlington, Vermont, United States

  Disclosure(s): 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.

Presentations:

• 10:30 AM - 11:00 AM CT

  Epigenomic Networks in Hormone Signaling
  

  Symposium Speaker: Moray Campbell, PhD – Karmanos Cancer Institute
• 11:00 AM - 11:30 AM CT

  Decoding tumor ecosystems: Systems biology approaches to uncover cellular mechanisms and therapeutic responses
  

  Symposium Speaker: Laura Heiser, PhD – OHSU
• 11:30 AM - 12:00 PM CT

  Systems analysis of hormonal response variability in luminal breast cancer
  

  Symposium Speaker: Kevin A. Janes, PhD (he/him/his) – University of Virginia