Learning spatial determinants of treatment response in ovarian cancer

Project summary

This project uses spatial genomics to uncover how chromosomal instability (CIN) drives immune escape and treatment resistance in ovarian cancer. By combining spatial transcriptomics and single-cell genome sequencing, we will build high-resolution maps of tumor evolution across space and time. We aim to identify where resistant clones emerge, how they interact with immune and stromal cells, and which features predict treatment failure. These findings will inform the development of spatial-genomic biomarkers to guide personalized therapy, anticipate resistance, and improve outcomes for patients with high-grade serous ovarian cancer.