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

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 collect...

Full description

Bibliographic Details
Main Authors: Aleksander Salomon-Perzyński, Joanna Barankiewicz, Marcin Machnicki, Irena Misiewicz-Krzemińska, Michał Pawlak, Sylwia Radomska, Agnieszka Krzywdzińska, Aleksandra Bluszcz, Piotr Stawiński, Małgorzata Rydzanicz, Natalia Jakacka, Iwona Solarska, Katarzyna Borg, Zofia Spyra-Górny, Tomasz Szpila, Bartosz Puła, Sebastian Grosicki, Tomasz Stokłosa, Rafał Płoski, Ewa Lech-Marańda, Jana Jakubikova, Krzysztof Jamroziak
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Biomedicines
Subjects:
Online Access:https://www.mdpi.com/2227-9059/10/7/1674
_version_ 1797407282780176384
author Aleksander Salomon-Perzyński
Joanna Barankiewicz
Marcin Machnicki
Irena Misiewicz-Krzemińska
Michał Pawlak
Sylwia Radomska
Agnieszka Krzywdzińska
Aleksandra Bluszcz
Piotr Stawiński
Małgorzata Rydzanicz
Natalia Jakacka
Iwona Solarska
Katarzyna Borg
Zofia Spyra-Górny
Tomasz Szpila
Bartosz Puła
Sebastian Grosicki
Tomasz Stokłosa
Rafał Płoski
Ewa Lech-Marańda
Jana Jakubikova
Krzysztof Jamroziak
author_facet Aleksander Salomon-Perzyński
Joanna Barankiewicz
Marcin Machnicki
Irena Misiewicz-Krzemińska
Michał Pawlak
Sylwia Radomska
Agnieszka Krzywdzińska
Aleksandra Bluszcz
Piotr Stawiński
Małgorzata Rydzanicz
Natalia Jakacka
Iwona Solarska
Katarzyna Borg
Zofia Spyra-Górny
Tomasz Szpila
Bartosz Puła
Sebastian Grosicki
Tomasz Stokłosa
Rafał Płoski
Ewa Lech-Marańda
Jana Jakubikova
Krzysztof Jamroziak
author_sort Aleksander Salomon-Perzyński
collection DOAJ
description 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.
first_indexed 2024-03-09T03:40:04Z
format Article
id doaj.art-157b567d61334d2ca4fc78ec78d72b72
institution Directory Open Access Journal
issn 2227-9059
language English
last_indexed 2024-03-09T03:40:04Z
publishDate 2022-07-01
publisher MDPI AG
record_format Article
series Biomedicines
spelling doaj.art-157b567d61334d2ca4fc78ec78d72b722023-12-03T14:42:22ZengMDPI AGBiomedicines2227-90592022-07-01107167410.3390/biomedicines10071674Tracking Clonal Evolution of Multiple Myeloma Using Targeted Next-Generation DNA SequencingAleksander Salomon-Perzyński0Joanna Barankiewicz1Marcin Machnicki2Irena Misiewicz-Krzemińska3Michał Pawlak4Sylwia Radomska5Agnieszka Krzywdzińska6Aleksandra Bluszcz7Piotr Stawiński8Małgorzata Rydzanicz9Natalia Jakacka10Iwona Solarska11Katarzyna Borg12Zofia Spyra-Górny13Tomasz Szpila14Bartosz Puła15Sebastian Grosicki16Tomasz Stokłosa17Rafał Płoski18Ewa Lech-Marańda19Jana Jakubikova20Krzysztof Jamroziak21Department of Hematology, Institute of Hematology and Transfusion Medicine, 02-776 Warsaw, PolandDepartment of Hematology, Institute of Hematology and Transfusion Medicine, 02-776 Warsaw, PolandDepartment of Tumor Biology and Genetics, Medical University of Warsaw, 02-106 Warsaw, PolandDepartment of Experimental Hematology, Institute of Hematology and Transfusion Medicine, 02-776 Warsaw, PolandDepartment of Experimental Hematology, Institute of Hematology and Transfusion Medicine, 02-776 Warsaw, PolandMolecular Biology Laboratory, Department of Diagnostic Hematology, Institute of Hematology and Transfusion Medicine, 02-776 Warsaw, PolandImmunophenotyping Laboratory, Department of Diagnostic Hematology, Institute of Hematology and Transfusion Medicine, 02-776 Warsaw, PolandCytogenetic Laboratory, Department of Diagnostic Hematology, Institute of Hematology and Transfusion Medicine, 02-776 Warsaw, PolandDepartment of Medical Genetics, Medical University of Warsaw, 02-106 Warsaw, PolandDepartment of Medical Genetics, Medical University of Warsaw, 02-106 Warsaw, PolandDepartment of Hematology, Institute of Hematology and Transfusion Medicine, 02-776 Warsaw, PolandMolecular Biology Laboratory, Department of Diagnostic Hematology, Institute of Hematology and Transfusion Medicine, 02-776 Warsaw, PolandCytogenetic Laboratory, Department of Diagnostic Hematology, Institute of Hematology and Transfusion Medicine, 02-776 Warsaw, PolandDepartment of Hematology and Cancer Prevention, Faculty od Health Sciences, Medical University of Silesia in Katowice, 40-055 Katowice, PolandDepartment of Hematology, Institute of Hematology and Transfusion Medicine, 02-776 Warsaw, PolandDepartment of Hematology, Institute of Hematology and Transfusion Medicine, 02-776 Warsaw, PolandDepartment of Hematology and Cancer Prevention, Faculty od Health Sciences, Medical University of Silesia in Katowice, 40-055 Katowice, PolandDepartment of Tumor Biology and Genetics, Medical University of Warsaw, 02-106 Warsaw, PolandDepartment of Medical Genetics, Medical University of Warsaw, 02-106 Warsaw, PolandDepartment of Hematology, Institute of Hematology and Transfusion Medicine, 02-776 Warsaw, PolandDepartment of Tumor Immunology, Biomedical Research Center, Cancer Research Institute, Slovak Academy of Sciences, Dubravska Cesta 9, 84505 Bratislava, SlovakiaDepartment of Hematology, Transplantation and Internal Medicine, Medical University of Warsaw, 02-106 Warsaw, PolandClonal 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.https://www.mdpi.com/2227-9059/10/7/1674clonal evolutionmultiple myelomanext-generation sequencing
spellingShingle Aleksander Salomon-Perzyński
Joanna Barankiewicz
Marcin Machnicki
Irena Misiewicz-Krzemińska
Michał Pawlak
Sylwia Radomska
Agnieszka Krzywdzińska
Aleksandra Bluszcz
Piotr Stawiński
Małgorzata Rydzanicz
Natalia Jakacka
Iwona Solarska
Katarzyna Borg
Zofia Spyra-Górny
Tomasz Szpila
Bartosz Puła
Sebastian Grosicki
Tomasz Stokłosa
Rafał Płoski
Ewa Lech-Marańda
Jana Jakubikova
Krzysztof Jamroziak
Tracking Clonal Evolution of Multiple Myeloma Using Targeted Next-Generation DNA Sequencing
Biomedicines
clonal evolution
multiple myeloma
next-generation sequencing
title Tracking Clonal Evolution of Multiple Myeloma Using Targeted Next-Generation DNA Sequencing
title_full Tracking Clonal Evolution of Multiple Myeloma Using Targeted Next-Generation DNA Sequencing
title_fullStr Tracking Clonal Evolution of Multiple Myeloma Using Targeted Next-Generation DNA Sequencing
title_full_unstemmed Tracking Clonal Evolution of Multiple Myeloma Using Targeted Next-Generation DNA Sequencing
title_short Tracking Clonal Evolution of Multiple Myeloma Using Targeted Next-Generation DNA Sequencing
title_sort tracking clonal evolution of multiple myeloma using targeted next generation dna sequencing
topic clonal evolution
multiple myeloma
next-generation sequencing
url https://www.mdpi.com/2227-9059/10/7/1674
work_keys_str_mv AT aleksandersalomonperzynski trackingclonalevolutionofmultiplemyelomausingtargetednextgenerationdnasequencing
AT joannabarankiewicz trackingclonalevolutionofmultiplemyelomausingtargetednextgenerationdnasequencing
AT marcinmachnicki trackingclonalevolutionofmultiplemyelomausingtargetednextgenerationdnasequencing
AT irenamisiewiczkrzeminska trackingclonalevolutionofmultiplemyelomausingtargetednextgenerationdnasequencing
AT michałpawlak trackingclonalevolutionofmultiplemyelomausingtargetednextgenerationdnasequencing
AT sylwiaradomska trackingclonalevolutionofmultiplemyelomausingtargetednextgenerationdnasequencing
AT agnieszkakrzywdzinska trackingclonalevolutionofmultiplemyelomausingtargetednextgenerationdnasequencing
AT aleksandrabluszcz trackingclonalevolutionofmultiplemyelomausingtargetednextgenerationdnasequencing
AT piotrstawinski trackingclonalevolutionofmultiplemyelomausingtargetednextgenerationdnasequencing
AT małgorzatarydzanicz trackingclonalevolutionofmultiplemyelomausingtargetednextgenerationdnasequencing
AT nataliajakacka trackingclonalevolutionofmultiplemyelomausingtargetednextgenerationdnasequencing
AT iwonasolarska trackingclonalevolutionofmultiplemyelomausingtargetednextgenerationdnasequencing
AT katarzynaborg trackingclonalevolutionofmultiplemyelomausingtargetednextgenerationdnasequencing
AT zofiaspyragorny trackingclonalevolutionofmultiplemyelomausingtargetednextgenerationdnasequencing
AT tomaszszpila trackingclonalevolutionofmultiplemyelomausingtargetednextgenerationdnasequencing
AT bartoszpuła trackingclonalevolutionofmultiplemyelomausingtargetednextgenerationdnasequencing
AT sebastiangrosicki trackingclonalevolutionofmultiplemyelomausingtargetednextgenerationdnasequencing
AT tomaszstokłosa trackingclonalevolutionofmultiplemyelomausingtargetednextgenerationdnasequencing
AT rafałpłoski trackingclonalevolutionofmultiplemyelomausingtargetednextgenerationdnasequencing
AT ewalechmaranda trackingclonalevolutionofmultiplemyelomausingtargetednextgenerationdnasequencing
AT janajakubikova trackingclonalevolutionofmultiplemyelomausingtargetednextgenerationdnasequencing
AT krzysztofjamroziak trackingclonalevolutionofmultiplemyelomausingtargetednextgenerationdnasequencing