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Genetic Predictors of Mortality in Patients with Multiple Myeloma

Multiple myeloma (MM) is a heterogeneous disease featured by clonal plasma cell proliferation and genomic instability. The advent of next-generation sequencing allowed unraveling the complex genomic landscape of the disease. Several recurrent genomic aberrations including immunoglobulin genes transl...

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Autores principales: Hassan, Hamza, Szalat, Raphael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8092627/
https://www.ncbi.nlm.nih.gov/pubmed/33953598
http://dx.doi.org/10.2147/TACG.S262866
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author Hassan, Hamza
Szalat, Raphael
author_facet Hassan, Hamza
Szalat, Raphael
author_sort Hassan, Hamza
collection PubMed
description Multiple myeloma (MM) is a heterogeneous disease featured by clonal plasma cell proliferation and genomic instability. The advent of next-generation sequencing allowed unraveling the complex genomic landscape of the disease. Several recurrent genomic aberrations including immunoglobulin genes translocations, copy number abnormalities, complex chromosomal events, transcriptomic and epigenomic deregulation, and mutations define various molecular subgroups with distinct outcomes. In this review, we describe the recurrent genomic events identified in MM impacting patients’ outcome and survival. These genomic aberrations constitute new markers that could be incorporated into a prognostication model to eventually guide therapy at every stage of the disease.
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spelling pubmed-80926272021-05-04 Genetic Predictors of Mortality in Patients with Multiple Myeloma Hassan, Hamza Szalat, Raphael Appl Clin Genet Review Multiple myeloma (MM) is a heterogeneous disease featured by clonal plasma cell proliferation and genomic instability. The advent of next-generation sequencing allowed unraveling the complex genomic landscape of the disease. Several recurrent genomic aberrations including immunoglobulin genes translocations, copy number abnormalities, complex chromosomal events, transcriptomic and epigenomic deregulation, and mutations define various molecular subgroups with distinct outcomes. In this review, we describe the recurrent genomic events identified in MM impacting patients’ outcome and survival. These genomic aberrations constitute new markers that could be incorporated into a prognostication model to eventually guide therapy at every stage of the disease. Dove 2021-04-29 /pmc/articles/PMC8092627/ /pubmed/33953598 http://dx.doi.org/10.2147/TACG.S262866 Text en © 2021 Hassan and Szalat. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Review
Hassan, Hamza
Szalat, Raphael
Genetic Predictors of Mortality in Patients with Multiple Myeloma
title Genetic Predictors of Mortality in Patients with Multiple Myeloma
title_full Genetic Predictors of Mortality in Patients with Multiple Myeloma
title_fullStr Genetic Predictors of Mortality in Patients with Multiple Myeloma
title_full_unstemmed Genetic Predictors of Mortality in Patients with Multiple Myeloma
title_short Genetic Predictors of Mortality in Patients with Multiple Myeloma
title_sort genetic predictors of mortality in patients with multiple myeloma
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8092627/
https://www.ncbi.nlm.nih.gov/pubmed/33953598
http://dx.doi.org/10.2147/TACG.S262866
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