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Tracking Clonal Evolution of Multiple Myeloma Using Targeted Next-Generation DNA Sequencing.

Authors :
Salomon-Perzyński A
Barankiewicz J
Machnicki M
Misiewicz-Krzemińska I
Pawlak M
Radomska S
Krzywdzińska A
Bluszcz A
Stawiński P
Rydzanicz M
Jakacka N
Solarska I
Borg K
Spyra-Górny Z
Szpila T
Puła B
Grosicki S
Stokłosa T
Płoski R
Lech-Marańda E
Jakubikova J
Jamroziak K
Source :
Biomedicines [Biomedicines] 2022 Jul 12; Vol. 10 (7). Date of Electronic Publication: 2022 Jul 12.
Publication Year :
2022

Abstract

Clonal evolution drives treatment failure in multiple myeloma (MM). Here, we used a custom 372-gene panel to track genetic changes occurring during MM progression at different stages of the disease. A tumor-only targeted next-generation DNA sequencing was performed on 69 samples sequentially collected from 30 MM patients. The MAPK/ERK pathway was mostly affected with KRAS mutated in 47% of patients. Acquisition and loss of mutations were observed in 63% and 37% of patients, respectively. Four different patterns of mutation evolution were found: branching-, mutation acquisition-, mutation loss- and a stable mutational pathway. Better response to anti-myeloma therapy was more frequently observed in patients who followed the mutation loss-compared to the mutation acquisition pathway. More than two-thirds of patients had druggable genes mutated (including cases of heavily pre-treated disease). Only 7% of patients had a stable copy number variants profile. Consequently, a redistribution in stages according to R-ISS between the first and paired samples (R-ISS″) was seen. The higher the R-ISS″, the higher the risk of MM progression and death. We provided new insights into the genetics of MM evolution, especially in heavily pre-treated patients. Additionally, we confirmed that redefining R-ISS at MM relapse is of high clinical value.

Details

Language :
English
ISSN :
2227-9059
Volume :
10
Issue :
7
Database :
MEDLINE
Journal :
Biomedicines
Publication Type :
Academic Journal
Accession number :
35884979
Full Text :
https://doi.org/10.3390/biomedicines10071674