Groundbreaking advances in immunotherapy have revolutionized the treatment of cancer. In particular, new antibody drugs that block immunosuppressive pathways have achieved remarkable success in reawakening the immune system to clear tumor cells, leading to lasting cures in patients whose cancers do not respond to any other therapies. Unfortunately, the majority of patients (>70%) do not respond to immunotherapy treatment. It is difficult to predict which patients will benefit, creating an urgent demand for novel immunotherapy drugs that act through alternative mechanisms. Dr. Spangler is working to develop a class of antibody therapeutics that target cancer-promoting pathways in a different way than all current immunotherapies, with the goal of drastically expanding the percentage of cancer patients who benefit from them.

Breast cancer is the most frequent cancer in women and the second-leading cause of cancer deaths in women worldwide. Triple-negative breast cancer is among the most aggressive subtypes; its name refers to the fact that it lacks all three primary markers of breast cancer, making it particularly challenging to detect and treat. Although our ability to detect early-stage breast cancer has improved substantially over the past few decades, anticipating whether and how fast a tumor will progress to metastatic disease remains challenging. Dr. Trenado-Yuste aims to improve our ability to predict a tumor's disease course and response to therapy by creating a new framework of biomathematical models and experimentally engineered tumors, which may aid in prognostication and decrease cancer-related deaths.

Experimental research in cancer biology also drives a need for new computational models. This project focuses on mathematical modeling, with an emphasis on developing agent-based and pharmacokinetic models, to help clarify how tumor spheroids progress and respond to drug treatments. The importance and innovation of the proposed theoretical and computational methods lie in their potential to identify the optimal combinations of personalized treatment schedules for individual patients.

Many immunotherapy strategies require patient T cells to recognize specific cancer-associated antigens. However, it is unclear what these antigens are and how they contribute to tumor shrinkage during treatment. Dr. Zhu [HHMI Fellow] will use large-scale antigen screening methods to identify cancer-associated antigens recognized by T cells that are activated in breast cancer patients during immunotherapy treatment. Mapping the antigen landscape of breast cancer will identify targetable antigens and improve future immunotherapies. Dr. Zhu received his PhD from The Rockefeller University and his BSc from the National University of Singapore.