Multiple myeloma (MM) is consistently preceded by precursor conditions recognized clinically as monoclonal gammopathy of undetermined significance (MGUS) or smoldering myeloma (SMM). We interrogate the whole genome sequence (WGS) profile of 18 MGUS and compare them with those from 14 SMMs and 80 MMs. We show that cases with a non-progressing, clinically stable myeloma precursor condition (n = 15) are characterized by later initiation in the patient’s life and by the absence of myeloma defining genomic events including: chromothripsis, templated insertions, mutations in driver genes, aneuploidy, and canonical APOBEC mutational activity. This data provides evidence that WGS can be used to recognize two biologically and clinically distinct myeloma precursor entities that are either progressive or stable.

Whole-genome sequencing reveals progressive versus stable myeloma precursor conditions as two distinct entities / B. Oben, G. Froyen, K.H. Maclachlan, D. Leongamornlert, F. Abascal, B. Zheng-Lin, V. Yellapantula, A. Derkach, E. Geerdens, B.T. Diamond, I. Arijs, B. Maes, K. Vanhees, M. Hultcrantz, E.E. Manasanch, D. Kazandjian, A. Lesokhin, A. Dogan, Y. Zhang, A. Mikulasova, B. Walker, G. Morgan, P.J. Campbell, O. Landgren, J.-. Rummens, N. Bolli, F. Maura. - In: NATURE COMMUNICATIONS. - ISSN 2041-1723. - 12:1(2021 Mar 25), pp. 1861.1-1861.11. [10.1038/s41467-021-22140-0]

Whole-genome sequencing reveals progressive versus stable myeloma precursor conditions as two distinct entities

N. Bolli
Penultimo
;
2021

Abstract

Multiple myeloma (MM) is consistently preceded by precursor conditions recognized clinically as monoclonal gammopathy of undetermined significance (MGUS) or smoldering myeloma (SMM). We interrogate the whole genome sequence (WGS) profile of 18 MGUS and compare them with those from 14 SMMs and 80 MMs. We show that cases with a non-progressing, clinically stable myeloma precursor condition (n = 15) are characterized by later initiation in the patient’s life and by the absence of myeloma defining genomic events including: chromothripsis, templated insertions, mutations in driver genes, aneuploidy, and canonical APOBEC mutational activity. This data provides evidence that WGS can be used to recognize two biologically and clinically distinct myeloma precursor entities that are either progressive or stable.
DNA Copy Number Variations; Disease Progression; Genome, Human; Humans; Monoclonal Gammopathy of Undetermined Significance; Multiple Myeloma; Polymorphism, Single Nucleotide; Risk Factors; Smoldering Multiple Myeloma; Whole Genome Sequencing;
Settore MED/15 - Malattie del Sangue
25-mar-2021
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/904163
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