bioRxiv · 10.1101/388611
Genomic landscape and chronological reconstruction of driver events in multiple myeloma
Abstract
Multiple myeloma (MM) has a heterogeneous genome, evolving through both pre-clinical and post-diagnosis phases. Here, using sequences from 67 MM genomes serially collected from 30 patients together with public datasets, we establish a hierarchy of driver lesions. Point mutations, structural variants and copy number aberrations define at least 7 genomic subgroups of MM, each with distinct sets of co-operating driver mutations. Complex structural events are major drivers of MM, including chromothripsis, chromoplexy and a replication-based mechanism of templated insertions: these typically occur early. Hyperdiploidy also occurs early, with individual chromosomes often gained in more than one chronological epoch of MM evolution, showing a preferred order of acquisition. Positively selected point mutations frequently occur in later phases of disease development, as do structural variants involving MYC. Thus, initiating driver events of MM, drawn from a limited repertoire of structural and numerical chromosomal changes, shape preferred trajectories of subsequent evolution.
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Maura, F., Bolli, N., Angelopoulos, N., Dawson, K. J., Leongamornlert, D., Martincorena, I., Mitchell, T. J., Fullam, A., Gonzalez, S., Szalat, R., Rodriguez-Martin, B., Samur, M. K., Glodzik, D., Roncador, M., Fulciniti, M., Tai, Y. T., Minvielle, S., Magrangeas, F., Moreau, P., Corradini, P., Anderson, K. C., Tubio, J. M. C., Wedge, D. C., Gerstung, M., Avet-Loiseau, H., Munshi, N., Campbell, P. J.. 2018-08-12. Genomic landscape and chronological reconstruction of driver events in multiple myeloma. https://doi.org/10.1101/388611
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