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Genomic Profiling of Smoldering Multiple Myeloma Identifies Patients at a High Risk of Disease Progression
Author(s) -
Mark Bustoros,
Romanos SklavenitisPistofidis,
Jihye Park,
Robert Redd,
Benny Zhitomirsky,
Andrew Dunford,
Karma Z. Salem,
YuTzu Tai,
Shankara Anand,
Tarek H. Mouhieddine,
Selina J Chavda,
Cody J. Boehner,
Liudmila Elagina,
Carl Jannes Neuse,
Justin Cha,
Mahshid Rahmat,
Amaro TaylorWeiner,
Eliezer M. Van Allen,
Shaji Kumar,
Efstathis Kastritis,
Ignaty Leshchiner,
Elizabeth A. Morgan,
Jacob P. Laubach,
Tineke Casneuf,
Paul G. Richardson,
Nikhil C. Munshi,
Kenneth C. Anderson,
Lorenzo Trippa,
François Aguet,
Chip Stewart,
Meletios Α. Dimopoulos,
Kwee Yong,
P. Leif Bergsagel,
Salomon Manier,
Gad Getz,
Irene M. Ghobrial
Publication year - 2020
Publication title -
journal of clinical oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.482
H-Index - 548
eISSN - 1527-7755
pISSN - 0732-183X
DOI - 10.1200/jco.20.00437
Subject(s) - neuroblastoma ras viral oncogene homolog , kras , medicine , multiple myeloma , apobec , disease , oncology , monoclonal gammopathy of undetermined significance , copy number variation , exome sequencing , tumor progression , exome , bioinformatics , cancer research , gene , genetics , mutation , cancer , biology , immunology , monoclonal , genome , colorectal cancer , monoclonal antibody , apolipoprotein b , antibody , cholesterol
PURPOSE Smoldering multiple myeloma (SMM) is a precursor condition of multiple myeloma (MM) with a 10% annual risk of progression. Various prognostic models exist for risk stratification; however, those are based on solely clinical metrics. The discovery of genomic alterations that underlie disease progression to MM could improve current risk models.METHODS We used next-generation sequencing to study 214 patients with SMM. We performed whole-exome sequencing on 166 tumors, including 5 with serial samples, and deep targeted sequencing on 48 tumors.RESULTS We observed that most of the genetic alterations necessary for progression have already been acquired by the diagnosis of SMM. Particularly, we found that alterations of the mitogen-activated protein kinase pathway ( KRAS and NRAS single nucleotide variants [SNVs]), the DNA repair pathway (deletion 17p, TP53, and ATM SNVs), and MYC (translocations or copy number variations) were all independent risk factors of progression after accounting for clinical risk staging. We validated these findings in an external SMM cohort by showing that patients who have any of these three features have a higher risk of progressing to MM. Moreover, APOBEC associated mutations were enriched in patients who progressed and were associated with a shorter time to progression in our cohort.CONCLUSION SMM is a genetically mature entity whereby most driver genetic alterations have already occurred, which suggests the existence of a right-skewed model of genetic evolution from monoclonal gammopathy of undetermined significance to MM. We identified and externally validated genomic predictors of progression that could distinguish patients at high risk of progression to MM and, thus, improve on the precision of current clinical models.

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