A Cancer Biomarker Screen for Drug Target Selection

1. A Cancer Biomarker Screen for Drug Target Selection Winter ‘13 Tommy Busch

2. Bioinformatics Drug Target Prediction Objective – To identify proteins that would make good targets for monoclonal antibody therapy for cancer Method – Leverage gene expression, copy number, and clinical outcome data from the Cancer Genome Atlas Rationale – Surface or secreted proteins associated with tumor metastasis have strong potential as pharmacological targets

3. Selection Pipeline Infer Protein Activity Level Differential Analysis Z-Score

4. Results Highlights Apoptosis Angiogenesis Developmental Signaling Inflammation

5. Follow-up Investigation • Prioritize candidates based on phenotypes of genetic mutants and KO mice • Generate monoclonal antibodies for wet lab studies • Extend the selection pipeline to other cancers

6. Recap Problem Can we pick tumor-specific drug targets? Yes Strategy Integrative bioinformatics analysis. CGA/GO/SPD

7. Acknowledgments PI’s Dr. Philip Berman Dr. Josh Stuart Grad Students Yulia Newton Ted Goldstein