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Definers and drivers of functional high-risk multiple myeloma: insights from genomic, transcriptomic, and immune profiling
Traditional prognostic models for newly diagnosed patients with multiple myeloma (MM), including International Staging System criteria and number of high-risk chromosomal abnormalities, are based on disease characteristics at diagnosis. However, the identification of patients at risk of more rapidly...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10577204/ https://www.ncbi.nlm.nih.gov/pubmed/37849816 http://dx.doi.org/10.3389/fonc.2023.1240966 |
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author | Banerjee, Rahul Cicero, Kara I. Lee, Sarah S. Cowan, Andrew J. |
author_facet | Banerjee, Rahul Cicero, Kara I. Lee, Sarah S. Cowan, Andrew J. |
author_sort | Banerjee, Rahul |
collection | PubMed |
description | Traditional prognostic models for newly diagnosed patients with multiple myeloma (MM), including International Staging System criteria and number of high-risk chromosomal abnormalities, are based on disease characteristics at diagnosis. However, the identification of patients at risk of more rapidly progressive MM is inherently a dynamic assessment. In a subset of patients with MM, adverse disease biology only becomes evident after the failure of first-line therapy. We define this entity as functional high-risk MM (FHRMM), encompassing relapse within 18 months of treatment initiation and/or within 12 months of frontline autologous stem cell transplantation. FHRMM is not adequately captured by traditional prognostic models, and there is a need for better understanding of mechanisms or risk factors for early relapse or progression. In this review, we explore potential definitions of FHRMM before delving into its underlying drivers based on genetic, transcriptomic, and immune cell profiling studies. Emerging data suggest that specific features of both myeloma cells and immune cells can enable the FHRMM phenotype. We conclude our review by discussing ongoing and future studies that seek to identify and intervene upon patients with FHRMM preemptively. |
format | Online Article Text |
id | pubmed-10577204 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105772042023-10-17 Definers and drivers of functional high-risk multiple myeloma: insights from genomic, transcriptomic, and immune profiling Banerjee, Rahul Cicero, Kara I. Lee, Sarah S. Cowan, Andrew J. Front Oncol Oncology Traditional prognostic models for newly diagnosed patients with multiple myeloma (MM), including International Staging System criteria and number of high-risk chromosomal abnormalities, are based on disease characteristics at diagnosis. However, the identification of patients at risk of more rapidly progressive MM is inherently a dynamic assessment. In a subset of patients with MM, adverse disease biology only becomes evident after the failure of first-line therapy. We define this entity as functional high-risk MM (FHRMM), encompassing relapse within 18 months of treatment initiation and/or within 12 months of frontline autologous stem cell transplantation. FHRMM is not adequately captured by traditional prognostic models, and there is a need for better understanding of mechanisms or risk factors for early relapse or progression. In this review, we explore potential definitions of FHRMM before delving into its underlying drivers based on genetic, transcriptomic, and immune cell profiling studies. Emerging data suggest that specific features of both myeloma cells and immune cells can enable the FHRMM phenotype. We conclude our review by discussing ongoing and future studies that seek to identify and intervene upon patients with FHRMM preemptively. Frontiers Media S.A. 2023-10-02 /pmc/articles/PMC10577204/ /pubmed/37849816 http://dx.doi.org/10.3389/fonc.2023.1240966 Text en Copyright © 2023 Banerjee, Cicero, Lee and Cowan https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Banerjee, Rahul Cicero, Kara I. Lee, Sarah S. Cowan, Andrew J. Definers and drivers of functional high-risk multiple myeloma: insights from genomic, transcriptomic, and immune profiling |
title | Definers and drivers of functional high-risk multiple myeloma: insights from genomic, transcriptomic, and immune profiling |
title_full | Definers and drivers of functional high-risk multiple myeloma: insights from genomic, transcriptomic, and immune profiling |
title_fullStr | Definers and drivers of functional high-risk multiple myeloma: insights from genomic, transcriptomic, and immune profiling |
title_full_unstemmed | Definers and drivers of functional high-risk multiple myeloma: insights from genomic, transcriptomic, and immune profiling |
title_short | Definers and drivers of functional high-risk multiple myeloma: insights from genomic, transcriptomic, and immune profiling |
title_sort | definers and drivers of functional high-risk multiple myeloma: insights from genomic, transcriptomic, and immune profiling |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10577204/ https://www.ncbi.nlm.nih.gov/pubmed/37849816 http://dx.doi.org/10.3389/fonc.2023.1240966 |
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