Genomic profiling of multiple myeloma: New insights and modern technologies Review

  


Authors: Hultcrantz, M.; Yellapantula, V.; Rustad, E. H.
Review Title: Genomic profiling of multiple myeloma: New insights and modern technologies
Abstract: Advances in technologies for genomic profiling, primarily with next generation sequencing, have lead to a better understanding of the complex genomic landscape in multiple myeloma. Integrated analysis of whole genome, exome and transcriptome sequencing has lead to new insights on disease drivers including translocations, copy number alterations, somatic mutations, and altered gene expression. Disease progression in multiple myeloma is largely driven by structural variations including the traditional immunoglobulin heavy chain (IGH) translocations and hyperdiploidy which are early events in myelomagenesis as well as more complex events spanning over multiple chromosomes and involving amplifications and deletions. In this review, we will discuss recent insights on the genomic landscape of multiple myeloma and their implications for disease progression and personalized treatment. We will review how sequencing assays compare to current clinical methods and give an overview of modern technologies for interrogating genomic aberrations. © 2020 Elsevier Ltd
Keywords: single nucleotide polymorphism; somatic mutation; review; multiple myeloma; gene expression profiling; tumor suppressor gene; fluorescence in situ hybridization; immunoglobulin heavy chain; genomics; circulating tumor cell; transcriptome sequencing; copy number variation; copy number alteration; somatic mutations; cancer prognosis; exome; high throughput sequencing; structural variation; human; priority journal; whole exome sequencing
Journal Title: Best Practice and Research: Clinical Haematology
Volume: 33
Issue: 1
ISSN: 1521-6926
Publisher: Elsevier Inc.  
Date Published: 2020-03-01
Start Page: 101153
Language: English
DOI: 10.1016/j.beha.2020.101153
PUBMED: 32139018
PROVIDER: scopus
DOI/URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079074076&doi=10.1016%2fj.beha.2020.101153&partnerID=40&md5=ea41b97aa2cd0f3788f29a0b8535d0b4
Notes: Review -- Export Date: 1 April 2020 -- Source: Scopus
Altmetric
What is Altmetric?
Citation Impact
What is Dimensions Citation Badge?
BMJ Impact Analytics
MSK Authors
  1. Malin Lisa Hultcrantz
    260 Hultcrantz
  2. Venkata D Yellapantula
    51 Yellapantula
  3. Even Holth Rustad
    43 Rustad
Related MSK Work