The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma

Eileen M. Boyle(Centre National de la Recherche Scientifique), Shayu Deshpande(University of Arkansas for Medical Sciences), Ruslana G. Tytarenko(University of Arkansas for Medical Sciences), Cody Ashby(University of Arkansas for Medical Sciences), Yan Wang(University of Arkansas for Medical Sciences), Michael Bauer(University of Arkansas for Medical Sciences), Sarah K. Johnson(University of Arkansas for Medical Sciences), Christopher P. Wardell(University of Arkansas for Medical Sciences), Sharmilan Thanendrarajan(University of Arkansas for Medical Sciences), Maurizio Zangari(University of Arkansas for Medical Sciences), Thierry Façon(Hôpital Claude Huriez), Charles Dumontet(Centre National de la Recherche Scientifique), Bart Barlogie(Mount Sinai Hospital), Arnaldo Arbini(NYU Langone Health), Even H Rustad(NYU Langone Health), Francesco Maura(Memorial Sloan Kettering Cancer Center), Ola Landgren(Memorial Sloan Kettering Cancer Center), Fenghuang Zhan(University of Arkansas for Medical Sciences), Frits van Rhee(University of Arkansas for Medical Sciences), Carolina Schinke(University of Arkansas for Medical Sciences), Faith E. Davies(NYU Langone Health), Gareth J. Morgan(NYU Langone Health), Brian A. Walker(Indiana University Health)
Nature Communications
January 12, 2021
Cited by 138Open Access
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Abstract

Smoldering myeloma (SMM) is associated with a high-risk of progression to myeloma (MM). We report the results of a study of 82 patients with both targeted sequencing that included a capture of the immunoglobulin and MYC regions. By comparing these results to newly diagnosed myeloma (MM) we show fewer NRAS and FAM46C mutations together with fewer adverse translocations, del(1p), del(14q), del(16q), and del(17p) in SMM consistent with their role as drivers of the transition to MM. KRAS mutations are associated with a shorter time to progression (HR 3.5 (1.5-8.1), p = 0.001). In an analysis of change in clonal structure over time we studied 53 samples from nine patients at multiple time points. Branching evolutionary patterns, novel mutations, biallelic hits in crucial tumour suppressor genes, and segmental copy number changes are key mechanisms underlying the transition to MM, which can precede progression and be used to guide early intervention strategies.


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