Demystifying Estrogen’s Role in Breast Cancer


  • Computationally detect genetic biomarkers for diagnosing breast cancer type
  • Systematically treat breast cancer based on cancer type
  • Realize personalized medicine as an optimized treatment option


  • Drastically reduce diagnostic costs (currently about $4000/per patient)
  • Much faster, with fewer side effects and lower risk than current experimental methods in identifying types of cancer
  • Goes hand-in-hand with in vitro data to develop an appropriate treatment plan

Key Milestones

  • Explore the role of structural elements role in genome and mRNA with respect to EREs
  • Find important features (ERE sequence and repeats within genome) in different types of breast cancer
  • Design a computational tool (classifier) to help decide the treatment option given genomic information
  • Determine economic and commercial viability