The Skip Viragh Center for Pancreas Cancer Clinical Research and Patient Care combines extensive research with clinical expertise, so we can build upon current programs and develop new knowledge in treating pancreas cancer. Our physician-scientists are internationally recognized for their contributions to understanding what causes pancreas cancer, how it develops, and how to treat the cancer in its early stages.
Elizabeth Jaffee, M.D., and Daniel Laheru, M.D., the goals of the Skip Viragh Center are to prevent pancreas cancer, treat it at all stages, and, ultimately cure pancreas cancer. Patients are our Priority A multidisciplinary clinic provides state-of-the-art diagnostics and expert care Complex treatment planning and patient services are provided by top specialists Long-term care and follow up Skilled nurse coordinators assist patients through all stages of treatment Clinical trials offer future treatment possibilities Goals of Clinical Research at The Skip Viragh Center include:
The Weinberg Building houses the patient
care services for the Skip Viragh Pancreas
Develop new scientific initiatives with direct outcomes Develop and test new platforms for delivery of vaccines for patients with all stages of pancreatic cancer Understand how cancers trick the immune system into protecting the disease and how we can develop new therapies that dismantle this protection Identify new proteins on pancreas cancer cells that can be selectively targeted with new therapies Improve pain management Optimize sequencing of surgery and chemo radiation Identify the best conditions for using radiation therapy as well as combining it with other therapies Develop biomarkers for early detection Identify stem-like cells that may give rise to pancreas cancer cells Screen high risk patients to identify pancreas cancer earlier when the cancer may be curable Maintain and analyze a familial pancreas cancer database, the largest-known of its type Analyze the pancreas cancer genome, sequenced by Johns Hopkins scientists Develop methods to predict response to chemotherapy