Jing Fu, PhD
Assistant Professor of Medical Sciences (in Medicine)
Department of Medicine, Hematology & Oncology
Program: Tumor Biology and Microenvironment (TBM)
Title: Development of Novel Anti-AL Amyloidosis Immunotherapies
Description: AL amyloidosis is a rare disease closely related to multiple myeloma and remains incurable. In this condition, clonal plasma cells produce excess misfolded light chains, which aggregate into insoluble fibrils that deposit in organs, leading to progressive damage and eventual death. Current anti-plasma cell therapies target the clonal plasma cells to halt the production of new amyloidogenic light chains; however, pre-existing fibrils are unaffected and continue to drive organ damage. Our group has been focusing on developing and optimizing amyloid fibril-targeting immunotherapies aimed at removing these deposits and ultimately achieving a cure. In this talk, I will present our novel approaches, including screening high-affinity amyloid-binding monoclonal antibodies, designing bispecific antibodies to engage phagocytic cells for efficient amyloid clearance, and developing amyloid-targeting chimeric antigen receptor phagocyte-based cell therapies.
Stella Kang, MD, MSc
Professor of Radiology
Department of Radiology
Program: Cancer Population Science (CPS)
Title: Diagnostic Imaging: Integrating Unique Data for Patient and Cancer Risk Characterization
Description: With the rapid growth of advanced imaging technologies, we capture diverse quantitative features that reflect tumor biology, tissue microenvironment, and patient-specific variation. Integrating these imaging biomarkers with clinical and molecular data opens new opportunities for improving cancer risk characterization and guiding personalized care. At the same time, the complexity and heterogeneity of multimodal data demand new strategies for interpretation. In this brief talk, I will discuss how simulation and health technology assessment methods can be used to assess imaging-derived features and their integration with other biomedical data to uncover mechanisms of disease progression and risk. I will highlight areas of interest in my group for clinician and policy makers' decision making and translation of imaging technology into actionable insights.
Join Zoom Meeting
https://columbiacuimc.zoom.us/j/98062087107?pwd=ODN1TFwbtR23dO0Pk7Bq73td7fG91L.1
Meeting ID: 980 6208 7107
Passcode: 267022