Genomic landscape and chronological reconstruction of driver events in multiple myeloma

Maura, Bolli, Angelopoulos, Dawson, Leongamornlert, Martincorena, Mitchell, Fullam, Gonzalez, Szalat, Abascal, Rodriguez-Martin, Samur, Glodzik, Roncador, Fulciniti, Tai, Minvielle, Magrangeas, Moreau, Corradini, Anderson, Tubio, Wedge, Gerstung, Avet-Loiseau, Munshi, Campbell (2019) Genomic landscape and chronological reconstruction of driver events in multiple myeloma Nat Commun (IF: 16.6) 10(1) 3835

Abstract

The multiple myeloma (MM) genome is heterogeneous and evolves through preclinical and post-diagnosis phases. Here we report a catalog and hierarchy of driver lesions using sequences from 67 MM genomes serially collected from 30 patients together with public exome datasets. Bayesian clustering defines at least 7 genomic subgroups with distinct sets of co-operating events. Focusing on whole genome sequencing data, complex structural events emerge as major drivers, including chromothripsis and a novel replication-based mechanism of templated insertions, which typically occur early. Hyperdiploidy also occurs early, with individual trisomies often acquired in different chronological windows during evolution, and with a preferred order of acquisition. Conversely, positively selected point mutations, whole genome duplication and chromoplexy events occur in later disease phases. Thus, initiating driver events, drawn from a limited repertoire of structural and numerical chromosomal changes, shape preferred trajectories of evolution that are biologically relevant but heterogeneous across patients.

Links

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6707220
http://www.ncbi.nlm.nih.gov/pubmed/31444325
http://dx.doi.org/10.1038/s41467-019-11680-1

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