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Proteomic and Metabolomic Analysis of Bone Marrow and Plasma from Patients with Extramedullary Multiple Myeloma Identifies Distinct Protein and Metabolite Signatures

SIMPLE SUMMARY: Extramedullary multiple myeloma (EMM) is a rare and aggressive subtype of multiple myeloma which is associated with a poor prognosis. Here, we used mass spectrometry to illustrate that extramedullary multiple myeloma patients have a bone marrow and plasma protein signature that is di...

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Autores principales: Dunphy, Katie, Bazou, Despina, Henry, Michael, Meleady, Paula, Miettinen, Juho J., Heckman, Caroline A., Dowling, Paul, O’Gorman, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417544/
https://www.ncbi.nlm.nih.gov/pubmed/37568580
http://dx.doi.org/10.3390/cancers15153764
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author Dunphy, Katie
Bazou, Despina
Henry, Michael
Meleady, Paula
Miettinen, Juho J.
Heckman, Caroline A.
Dowling, Paul
O’Gorman, Peter
author_facet Dunphy, Katie
Bazou, Despina
Henry, Michael
Meleady, Paula
Miettinen, Juho J.
Heckman, Caroline A.
Dowling, Paul
O’Gorman, Peter
author_sort Dunphy, Katie
collection PubMed
description SIMPLE SUMMARY: Extramedullary multiple myeloma (EMM) is a rare and aggressive subtype of multiple myeloma which is associated with a poor prognosis. Here, we used mass spectrometry to illustrate that extramedullary multiple myeloma patients have a bone marrow and plasma protein signature that is distinct from multiple myeloma patients without extramedullary spread. We used bioinformatic tools to analyse differentially expressed proteins and verified the increased abundance of three proteins (VCAM1, HGFA, PEDF) in the plasma of patients with EMM. Considering the paucity of informative biomarkers and effective therapeutic approaches for the treatment of EMM, this study may provide direction for the discovery of novel diagnostic and therapeutic approaches and markers of extramedullary progression. ABSTRACT: Multiple myeloma (MM) is an incurable haematological malignancy of plasma cells in the bone marrow. In rare cases, an aggressive form of MM called extramedullary multiple myeloma (EMM) develops, where myeloma cells enter the bloodstream and colonise distal organs or soft tissues. This variant is associated with refractoriness to conventional therapies and a short overall survival. The molecular mechanisms associated with EMM are not yet fully understood. Here, we analysed the proteome of bone marrow mononuclear cells and blood plasma from eight patients (one serial sample) with EMM and eight patients without extramedullary spread. The patients with EMM had a significantly reduced overall survival with a median survival of 19 months. Label-free mass spectrometry revealed 225 proteins with a significant differential abundance between bone marrow mononuclear cells (BMNCs) isolated from patients with MM and EMM. This plasma proteomics analysis identified 22 proteins with a significant differential abundance. Three proteins, namely vascular cell adhesion molecule 1 (VCAM1), pigment epithelium derived factor (PEDF), and hepatocyte growth factor activator (HGFA), were verified as the promising markers of EMM, with the combined protein panel showing excellent accuracy in distinguishing EMM patients from MM patients. Metabolomic analysis revealed a distinct metabolite signature in EMM patient plasma compared to MM patient plasma. The results provide much needed insight into the phenotypic profile of EMM and in identifying promising plasma-derived markers of EMM that may inform novel drug development strategies.
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spelling pubmed-104175442023-08-12 Proteomic and Metabolomic Analysis of Bone Marrow and Plasma from Patients with Extramedullary Multiple Myeloma Identifies Distinct Protein and Metabolite Signatures Dunphy, Katie Bazou, Despina Henry, Michael Meleady, Paula Miettinen, Juho J. Heckman, Caroline A. Dowling, Paul O’Gorman, Peter Cancers (Basel) Article SIMPLE SUMMARY: Extramedullary multiple myeloma (EMM) is a rare and aggressive subtype of multiple myeloma which is associated with a poor prognosis. Here, we used mass spectrometry to illustrate that extramedullary multiple myeloma patients have a bone marrow and plasma protein signature that is distinct from multiple myeloma patients without extramedullary spread. We used bioinformatic tools to analyse differentially expressed proteins and verified the increased abundance of three proteins (VCAM1, HGFA, PEDF) in the plasma of patients with EMM. Considering the paucity of informative biomarkers and effective therapeutic approaches for the treatment of EMM, this study may provide direction for the discovery of novel diagnostic and therapeutic approaches and markers of extramedullary progression. ABSTRACT: Multiple myeloma (MM) is an incurable haematological malignancy of plasma cells in the bone marrow. In rare cases, an aggressive form of MM called extramedullary multiple myeloma (EMM) develops, where myeloma cells enter the bloodstream and colonise distal organs or soft tissues. This variant is associated with refractoriness to conventional therapies and a short overall survival. The molecular mechanisms associated with EMM are not yet fully understood. Here, we analysed the proteome of bone marrow mononuclear cells and blood plasma from eight patients (one serial sample) with EMM and eight patients without extramedullary spread. The patients with EMM had a significantly reduced overall survival with a median survival of 19 months. Label-free mass spectrometry revealed 225 proteins with a significant differential abundance between bone marrow mononuclear cells (BMNCs) isolated from patients with MM and EMM. This plasma proteomics analysis identified 22 proteins with a significant differential abundance. Three proteins, namely vascular cell adhesion molecule 1 (VCAM1), pigment epithelium derived factor (PEDF), and hepatocyte growth factor activator (HGFA), were verified as the promising markers of EMM, with the combined protein panel showing excellent accuracy in distinguishing EMM patients from MM patients. Metabolomic analysis revealed a distinct metabolite signature in EMM patient plasma compared to MM patient plasma. The results provide much needed insight into the phenotypic profile of EMM and in identifying promising plasma-derived markers of EMM that may inform novel drug development strategies. MDPI 2023-07-25 /pmc/articles/PMC10417544/ /pubmed/37568580 http://dx.doi.org/10.3390/cancers15153764 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dunphy, Katie
Bazou, Despina
Henry, Michael
Meleady, Paula
Miettinen, Juho J.
Heckman, Caroline A.
Dowling, Paul
O’Gorman, Peter
Proteomic and Metabolomic Analysis of Bone Marrow and Plasma from Patients with Extramedullary Multiple Myeloma Identifies Distinct Protein and Metabolite Signatures
title Proteomic and Metabolomic Analysis of Bone Marrow and Plasma from Patients with Extramedullary Multiple Myeloma Identifies Distinct Protein and Metabolite Signatures
title_full Proteomic and Metabolomic Analysis of Bone Marrow and Plasma from Patients with Extramedullary Multiple Myeloma Identifies Distinct Protein and Metabolite Signatures
title_fullStr Proteomic and Metabolomic Analysis of Bone Marrow and Plasma from Patients with Extramedullary Multiple Myeloma Identifies Distinct Protein and Metabolite Signatures
title_full_unstemmed Proteomic and Metabolomic Analysis of Bone Marrow and Plasma from Patients with Extramedullary Multiple Myeloma Identifies Distinct Protein and Metabolite Signatures
title_short Proteomic and Metabolomic Analysis of Bone Marrow and Plasma from Patients with Extramedullary Multiple Myeloma Identifies Distinct Protein and Metabolite Signatures
title_sort proteomic and metabolomic analysis of bone marrow and plasma from patients with extramedullary multiple myeloma identifies distinct protein and metabolite signatures
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417544/
https://www.ncbi.nlm.nih.gov/pubmed/37568580
http://dx.doi.org/10.3390/cancers15153764
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