Identification of significantly mutated regions across cancer types highlights a rich landscape of functional molecular alterations

William Greenleaf, Michael Snyder, Carlos Araya and colleagues use density-based clustering methods on ~4,700 exomes from 21 tumor types to detect significantly mutated regions (SMRs), which show recurrent alterations in coding and noncoding elements and often associate with changes in gene expression and signaling. Mutation frequencies in SMRs demonstrate that distinct protein regions are differentially mutated across tumor types.