Maura, Francesco, Bolli, Niccolo, Angelopoulos, Nicos ![]() ![]() |
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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.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Medicine |
Additional Information: | This article is licensed under a Creative Commons Attribution 4.0 International License. |
Publisher: | Nature Research |
ISSN: | 2041-1723 |
Date of First Compliant Deposit: | 29 July 2020 |
Date of Acceptance: | 23 July 2019 |
Last Modified: | 03 May 2023 19:08 |
URI: | https://orca.cardiff.ac.uk/id/eprint/133799 |
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