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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.

作者信息

Dunphy Katie, Bazou Despina, Henry Michael, Meleady Paula, Miettinen Juho J, Heckman Caroline A, Dowling Paul, O'Gorman Peter

机构信息

Department of Biology, Maynooth University, W23 F2K8 Kildare, Ireland.

Department of Haematology, Mater Misericordiae University Hospital, D07 AX57 Dublin, Ireland.

出版信息

Cancers (Basel). 2023 Jul 25;15(15):3764. doi: 10.3390/cancers15153764.


DOI:10.3390/cancers15153764
PMID:37568580
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10417544/
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.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7611/10417544/84e1f9d9a363/cancers-15-03764-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7611/10417544/661401fe66b2/cancers-15-03764-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7611/10417544/0551638ab19c/cancers-15-03764-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7611/10417544/3caa63676774/cancers-15-03764-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7611/10417544/dfcaf4114658/cancers-15-03764-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7611/10417544/f146052f7a80/cancers-15-03764-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7611/10417544/dba8df704822/cancers-15-03764-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7611/10417544/6fc4c723abb6/cancers-15-03764-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7611/10417544/84e1f9d9a363/cancers-15-03764-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7611/10417544/661401fe66b2/cancers-15-03764-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7611/10417544/0551638ab19c/cancers-15-03764-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7611/10417544/3caa63676774/cancers-15-03764-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7611/10417544/dfcaf4114658/cancers-15-03764-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7611/10417544/f146052f7a80/cancers-15-03764-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7611/10417544/dba8df704822/cancers-15-03764-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7611/10417544/6fc4c723abb6/cancers-15-03764-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7611/10417544/84e1f9d9a363/cancers-15-03764-g008.jpg

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引用本文的文献

[1]
Diagnostic, Therapeutic and Prognostic Potential of Pigment Epithelium-Derived Factor in Cancer.

Int J Mol Sci. 2025-6-23

[2]
Mass Spectrometry-Based Proteomics in Clinical Diagnosis of Amyloidosis and Multiple Myeloma: A Review (2012-2024).

J Mass Spectrom. 2025-3

[3]
Navigating the clinical landscape: Update on the diagnostic and prognostic biomarkers in multiple myeloma.

Mol Biol Rep. 2024-9-9

[4]
Development of a cell adhesion-based prognostic model for multiple myeloma: Insights into chemotherapy response and potential reversal of adhesion effects.

Oncol Res. 2024

[5]
Biomarkers of Tumor Metastasis and Invasiveness.

Cancers (Basel). 2023-10-16

本文引用的文献

[1]
Targeting the fatty acid binding proteins disrupts multiple myeloma cell cycle progression and MYC signaling.

Elife. 2023-3-7

[2]
Targeting galectin-driven regulatory circuits in cancer and fibrosis.

Nat Rev Drug Discov. 2023-4

[3]
A phase 2 clinical trial of combined BRAF/MEK inhibition for BRAFV600E-mutated multiple myeloma.

Blood. 2023-4-6

[4]
Multiple Myeloma With Retroperitoneal Extramedullary Plasmacytoma Causing Renal Failure and Obstructive Shock From Inferior Vena Cava Compression: A Case Report.

Cureus. 2022-11-3

[5]
Treating Multiple Myeloma in the Context of the Bone Marrow Microenvironment.

Curr Oncol. 2022-11-21

[6]
Extramedullary Multiple Myeloma: A Patient-Focused Review of the Pathogenesis of Bone Marrow Escape.

World J Oncol. 2022-10

[7]
Integrative analysis of plasma metabolomics and proteomics reveals the metabolic landscape of breast cancer.

Cancer Metab. 2022-8-17

[8]
Insight into the mechanism of molecular recognition between human Integrin-Linked Kinase and Cpd22 and its implication at atomic level.

J Comput Aided Mol Des. 2022-8

[9]
Molecular Impact of the Tumor Microenvironment on Multiple Myeloma Dissemination and Extramedullary Disease.

Front Oncol. 2022-7-1

[10]
New Perspectives on the Role of Integrin-Linked Kinase (ILK) Signaling in Cancer Metastasis.

Cancers (Basel). 2022-6-30

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