SINGLE CELL ANALYSES OF INTRA-TUMOR HETEROGENEITY

IDENTIFY OPTIMUM THERAPIES FOR BREAST CANCER




Project Leader: Kornelia Polyak, MD, PhD

Breast cancer is the most commonly diagnosed cancer and is the main cause of cancer-related mortality in women worldwide. Achieving a meaningful global impact on breast cancer-associated morbidity and mortality requires a better understanding of drivers of metastatic progression and therapeutic resistance at the cellular and molecular level, a way to recognize these features in diagnostic patient samples, and early intervention and treatment strategies that prevent the emergence of metastatic and treatment-resistant tumors. The goals of this project are to tackle these key clinical problems in breast cancer through a combined mathematical modeling and experimental approach utilizing single cell analyses and xenograft models to identify optimal therapeutic strategies to ultimately prevent metastatic outgrowth and treatment resistance. Ultimately, these models will be validated in clinical and xenograft samples and they will be utilized to combat primary tumor and metastases formation.


 

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