Designing Evolutionary-based Interception Strategies to Block the Transition from Precursor Phases to Multiple Myeloma

The development of next-generation sequencing technology has dramatically improved our understanding of the genetic landscape of multiple myeloma. Several new drivers and recurrent events have been reported and linked to a potential driver role. This complex landscape is enhanced by intraclonal mutational heterogeneity and variability introduced through the dimensions of time and space. The evolutionary history of multiple myeloma is driven by both the accumulation of different genomic drivers and by the activity of different mutational processes active overtime. In this review, we describe how these new findings and sequencing technologies have been progressively allowed to understand and reshape our knowledge of the complexity of multiple myeloma at each of its developmental stages: premalignant, at diagnosis, and in relapsed/ refractory states. We discuss how these evolutionary concepts can be utilized in the clinic to alter evolutionary trajectories providing a framework for therapeutic intervention at early-disease stages.

Automated summary

Advancements in next-generation sequencing technology have allowed for a better understanding of the genetic landscape of multiple myeloma, including drivers and evolutionary processes. This new knowledge can be utilized in clinical settings to improve therapeutic interventions at various disease stages.