Annie Cowan, BA, Dana-Farber Cancer Institute, Boston, MA, gives an update on the results of the PANGEA model, which aims to better predict disease progression in patients with monoclonal gammopathy of undetermined significance (MGUS) and smoldering myeloma. This model has identified several dynamic biomarkers that can be used to predict disease progression including age, creatinin, and free light chain ratio, and it has been shown that this model outperforms currently used models to predict disease progression. This interview took place at the 19th International Myeloma Society Meeting (IMS) held in Los Angeles, CA.
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