Genetic subtypes of smoldering multiple myeloma are associated with distinct pathogenic phenotypes and clinical outcomes

Existing clinical models cannot fully capture smoldering multiple myeloma (SMM) heterogeneity. Here, integration of 42 genetic alterations from 214 SMM patients using an unsupervised binary matrix factorization clustering approach results in the identification of 6 distinct molecular and clinical subtypes.